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                                              Transit Timing Observations from Kepler : I. Statistical Analysis of the First
                                                                             Four Months
arXiv:1102.0544v1 [astro-ph.EP] 2 Feb 2011




                                             Eric B. Ford1 , Jason F. Rowe2,3 , Daniel C. Fabrycky4 , Josh Carter5 , Matthew J. Holman5 , Jack J.
                                             Lissauer3 , Darin Ragozzine5 , Jason H. Steffen6 , William J. Borucki3 , Natalie M. Batalha7 , Steve
                                             Bryson3 , Douglas A. Caldwell3,8 , Thomas N. Gautier III9 , Jon M. Jenkins2,3 , David G. Koch3 , Jie
                                                 Li2,3 , Philip Lucas10 , Geoffrey W. Marcy11 , Fergal R. Mullally2,3 , Elisa Quintana2,3 , Sean
                                              McCauliff8 , Peter Tenenbaum2,3 , Susan E. Thompson2,3 , Martin Still12,3 , Joseph D. Twicken2,3

                                                                                           eford@astro.ufl.edu


                                                                                                ABSTRACT


                                                         The architectures of multiple planet systems can provide valuable constraints on
                                                     models of planet formation, including orbital migration, and excitation of orbital eccen-
                                                     tricities and inclinations. NASA’s Kepler mission has identified 1235 transiting planet
                                                     candidates (Borcuki et al. 2011). The method of transit timing variations (TTVs) has
                                                     already confirmed 7 planets in two planetary systems (Holman et al. 2010; Lissauer et
                                                     al. 2011a). We perform a transit timing analysis of the Kepler planet candidates. We
                                                     find that at least ∼12% of planet candidates currently suitable for TTV analysis show
                                                     evidence suggestive of TTVs, representing at least ∼65 TTV candidates. In all cases,
                                                     the time span of observations must increase for TTVs to provide strong constraints on

                                               1
                                                   Astronomy Department, University of Florida, 211 Bryant Space Sciences Center, Gainesville, FL 32111, USA
                                               2
                                                   SETI Institute, Mountain View, CA, 94043, USA
                                               3
                                                   NASA Ames Research Center, Moffett Field, CA, 94035, USA
                                               4
                                                   UCO/Lick Observatory, University of California, Santa Cruz, CA 95064, USA
                                               5
                                                   Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138, USA
                                               6
                                                   Fermilab Center for Particle Astrophysics, P.O. Box 500, MS 127, Batavia, IL 60510
                                               7
                                                   San Jose State University, San Jose, CA 95192, USA
                                               8
                                                   Orbital Sciences Corporation/NASA Ames Research Center, Moffett Field, CA 94035, USA
                                               9
                                                   Jet Propulsion Laboratory/California Institute of Technology, Pasadena, CA 91109, USA
                                              10
                                                   Centre for Astrophysics Research, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, England
                                              11
                                                   University of California, Berkeley, Berkeley, CA 94720
                                              12
                                                   Bay Area Environmental Research Institute/NASA Ames Research Center, Moffett Field, CA 94035, USA
–2–


      planet masses and/or orbits, as expected based on n-body integrations of multiple tran-
      siting planet candidate systems (assuming circular and coplanar orbits). We find that
      the fraction of planet candidates showing TTVs in this data set does not vary signifi-
      cantly with the number of transiting planet candidates per star, suggesting significant
      mutual inclinations and that many stars with a single transiting planet should host
      additional non-transiting planets. We anticipate that Kepler could confirm (or reject)
      at least ∼12 systems with multiple transiting planet candidates via TTVs. Thus, TTVs
      will provide a powerful tool for confirming transiting planets and characterizing the
      orbital dynamics of low-mass planets. If Kepler observations were extended to at least
      six years, then TTVs would provide much more precise constraints on the dynamics of
      systems with multiple transiting planets and would become sensitive to planets with
      orbital periods extending into the habitable zone of solar-type stars.

      Subject headings: planetary systems; planets and satellites: detection, dynamical evo-
      lution and stability; methods: statistical; techniques: miscellaneous



                                          1.   Introduction

      NASA launched the Kepler space mission on March 6, 2009, to measure the frequency of small
exoplanets. In its nominal mission Kepler will observe over 100 square degrees nearly continuously
for three and a half years, so it can detect multiple transits of planets in the habitable zones of solar-
type stars. The spacecraft carries consumables that could support an extended mission which would
improve sensitivity for detecting small planets and would dramatically improve the constraints from
transit timing studies. Kepler began collected engineering data (“quarter” 0; Q0) for stars brighter
than Kepler magnitude (Kp ) 13.6 on May 2, 2009, and science data for over 150,000 stars on May
13, 2009. The first “quarter” (Q1) of Kepler data extends through June 15, 2009 and the second
quarter (Q2) runs from June 20 to September 16, 2009. On February 1, 2011, the Kepler team
released light curves during Q0, Q1 and Q2 for all planet search targets via the Multi-Mission
Archive at the Space Telescope Science Institute (MAST; http://archive.stsci.edu/kepler/).
The Kepler team has performed an initial transiting planet search to identify Kepler Objects of
Interest (KOIs) that show transit-like events during Q0-2 (Borucki et al. 2011; hereafter B11). B11
lists 1235 KOIs as active planet candidates. Other KOIs are recognized as likely astrophysical false
positives (e.g., blends with background eclipsing binaries) and are reported in B11 Table 4. As the
team performs tests of KOIs, a “vetting flag” is used to indicate which KOIs are the strongest and
weakest planet candidates with the expected reliability ranging from ≥98% for confirmed planets
to ≥60% for those which have yet to be fully vetted. Table 2 of B11, lists the putative orbital
period, transit epoch, transit duration, planet size, and vetting flag for KOIs which are active
planet candidates and were observed to transit in Q0-2. The current sample of planet candidates
is incomplete due to selection effects. In particular, planets with long orbital periods (P > 125d),
small planets (Rp ≤ 2R⊕ ), and planets around faint, active and/or large stars are affected (B11).
–3–


Further candidates will likely be identified as additional data are analyzed and the Kepler pipeline
is refined.

     The light curve of two eclipsing objects can be very sensitive to perturbations that result in
non-Keplerian motion. The variability in the times of eclipsing binaries have been studied for
decades. Typically, an “O-C” diagram, highlighting the difference between the observed ephemeris
and the ephemeris calculated from a constant period, has been used to detect additional bodies,
apsidal motion, and other effects. The application of this technique to planetary transits is known
as Transit Timing Variations (TTVs) which have been studied extensively both theoretically and
observationally over the past several years. Astrophysically interesting non-linear transit times
potentially observable by Kepler can be caused most readily by a perturbing planet (e.g., Miralda-
Escud´ 2002; Agol et al. 2005; Holman & Murray 2005; Ford & Holman 2007) or moon (e.g., Simon
       e
et al. 2007; Kipping et al. 2009), though higher-order gravitational effects can occasionally be
significant (e.g., Carter & Winn 2010). While variations in transit duration, depth, or overall shape
can also be used to study various astrophysical properties (e.g., Miralda-Escud´ 2002; Ragozzine
                                                                                 e
& Wolf 2009; Carter & Winn 2010), these are not calculated or discussed in this manuscript.

     In this paper, we analyze putative transit times (TTs) by Kepler planet candidates that show at
least three transits in Q0-2. We describe our methods for measuring transit times and constructing
ephemerides in §2. We discuss the results of several statistical analyses applied to each of the
planet candidates under consideration in §3. We present a list of planet candidates with early
indication of TTVs in §4.1. We compare the expected and observed TTVs for candidate multiple
transiting planet systems in §4.2. Finally, we discuss the implications of these early results for
planet formation and the future of the TTV method in §5.



                  2.   Measurement of Transit Times from Kepler Data

                          2.1.   Bulk Transit Time Measurements

     A combination of pipelines is used to identify KOIs as described in Latham et al. (2011). We
measure transit times based on the long cadence (LC), optimal aperature photometry performed by
the Kepler SOC pipeline version 6.2 (Jenkins et al. 2010). The pipeline produces both “calibrated”
light curves (PA data) for individual analysis and “corrected” light curves (PDC) which are used
to search for transits. This paper presents a bulk set of transit times measured from PDC data.
For a detailed analysis of an individual system, we strongly recommend that users inspect both
PA and PDC data to determine which is best suited for their target star and applications. For
example, the TTV detections of Kepler-9b & c and Kepler-11 b-f were based on PA data (Holman
et al. 2010; Lissauer et al. 2011a).

   We fold light curves at the orbital period reported in B11. Next, we fit a limb-darkened transit
model to the folded light curve, allowing the epoch, planet-star radius ratio, transit duration, and
–4–


impact parameter to vary. We use the best-fit transit model as a fixed template to measure the
transit time of each individual transit (while holding other parameters fixed). The best-fit transit
times are determined by Levenberg-Marquardt minimization of χ2 (Press et al. 1992). In a few
cases, we iterate the procedure, aligning transits based on the measured period in order to generate
an acceptable light curve model. For a small fraction of candidates (KOI 2.01, 403.01, 496.01,
508.01, 559.01, 617.01, 625.01, 678.01, 687.01, 777.01), we measure TTs during Q1 only, due to
complications in the Q2 light curves (e.g., saturation and changing aperture, convergence issues for
low S/N transits during Q2, stellar noise, and/or grazing short-period events).

     We estimate the uncertainty in each transit time from the covariance matrix. For most planet
candidates, typical scatter in its TT relative to a linear ephemeris is comparable to the median
timing uncertainty (see Fig. 1). Even when the transit model used for transit time measurements
is not ideal, good TTVs and errors can be extracted using this technique, since the transit time
is the only free parameter and only a roughly correct shape is needed to identify accurate times
and errors. Subsets of the observed times reported in Table 2 were tested with different transit
time estimation codes, which employ different techniques. While a more thorough analysis can
sometimes reduce the timing uncertainty or minimize the number of apparent TTV outliers, the
results are consistent across different algorithms.

      For target stars where multiple transiting planet candidates have been identified, we sequen-
tially fit each transit separately. Prior to fitting for TTVs, we remove the best-fit transit-models
for additional candidates present in the light curve. For example, if there are 3 planet candidates in
the system, then the fitting procedure would first fit for the template light curves in the following
order: 1) fit candidate .01, 2) remove .01 from the light curve, 3) fit candidate .02 from residuals,
4) remove .02 from light curve, 5) fit candidate .03 from residuals, and 6) remove .03 from light
curve. In most cases, the sequence .01, .02, ... is from the highest to the lowest signal to noise
(integrated over all transits). Next, we would measure the transit times according to the following
plan: 1) remove .02 and .03 from original light curve, 2) fit for .01 template, 3) measure TTs for
candidate .01, 4) remove .01 and .03 from original light curve, 5) fit for .02 template, 6) measure
TTs for candidate .02, 7) remove .01 and .02 from original light curve, 8) fit for .03 template, and
9) measure TTs for candidate .03. In some cases, we repeat the measurement of TTs by aligning
the transits using the first set of TTs before generating the template.



                                 2.2.   Transit Timing Models

     Once each set of individual transit times (TTs) has been measured, we calculate multiple sets
of TTVs by comparing them to multiple ephemerides: 1) the linear ephemeris published in B11
(EL 5), 2) the best-fit linear ephemeris calculated from TTs in Q0-2 (EL 2), and 3) the best-fit
quadratic ephemeris calculated from TTs in Q0-2 (EQ 2). The quadratic ephemeris is given by

                                    ˆ    ˆ        ˆ
                                    tn = E0 + n × P (1 + n × c),
                                                             ˆ                                    (1)
–5–


        ˆ                                             ˆ
where E0 is the best-fit time of the zeroth transit, P is the best-fit orbital period, and c is the
                                                                                           ˆ
best-fit value of the curvature. For a linear ephemeris, c = 0. The EL 5 ephemerides differ from the
                                                        ˆ
EL 2 ephemerides in that E ˆ0 and P were determined using Kepler data up to and including Q5,
                                   ˆ
rather than Q2.



               3.   Assessing the Significance of Transit Timing Variations

     Transit times for each planet candidate considered are provided in the electronic version of
Table 2. We perform several tests to determine if TTVs are statistically significant. These address
three questions: 1) “Is the observed scatter in TTs greater than expected?”, 2) “Is there is a
long-term trend in the TTs?”, and 3) “Is there a simple periodic variation in the TTs?”.



                                3.1.   Scatter in Transit Times
                                                           2
                                                   ˆ             ˆ
     First, we calculated χ2 = n∈ Q0−2 tn − tn /σn for tn calculated from both the EL 2 and
EL 5 ephemerides. A standard χ   2 test results in a p-value less than 0.001 for 15-17% of candidates.

As expected, the fraction is lower if we use the EL 2 ephemerides, since the same times are being
used for the model fit and the calculation of χ2 . If the errors in the TT measurements, normalized
by the estimated timing uncertainty, were accurately described by a standard normal distribution,
then one would expect only a few false alarms. However, we note that a disproportionate fraction
(42%) of the planet candidates with seemingly significant scatter in their transit times have an
average signal to noise (S/N) in each transit of less than 3, while planet candidates with such a
small S/N per transit represent only (∼23%) of planet candidates considered. While it is possible
that planets with low S/N transit are more likely to have significant TTVs, we opt for a more
conservative interpretation that the distribution of errors in our transit times measurements for
low S/N transits are not accurately described by a normal distribution with a dispersion given by
the estimated timing uncertainties. In particular, when measuring the times of low S/N transits,
                                ˆ
the χ2 surface as a function of tn can be bumpy due to noise in the observed light curve, resulting
in a much greater probability of measuring a significantly discrepant transit time than assumed by
our normal model.

      To avoid a high rate of false alarms due to random noise, we focus our attention on planet
candidates where the typical S/N in a transit exceeds 3. A standard χ2 test results in ∼10-13%
(84 or 102/807) of the remaining planet candidates having a p-value less than 0.001. We ob-
serve that for many of these cases, the contribution to χ2 is dominated by a small fraction of
the TTs. Based on the inspection of many light curves around these isolated discrepant tran-
sit times, we find that occasionally the measured TTs can be significantly skewed by a couple of
deviant photometric measurements. In principle, this could occur due to random noise, but for
high S/N transits, stellar variability or improperly corrected systematic errors are the more likely
–6–


culprits. For example, systematic errors often appear after events such as reaction wheel desatu-
rations, reaction wheel zero crossings, and data gaps (see data release notes at MAST for details;
http://archive.stsci.edu/kepler/data_release.html).

     To further guard against a few discrepant TTs leading to a spurious detection of TTVs, we
calculate a statistic similar to the standard χ2 , but one that is more robust to outliers,

                                               π NT T ( MAD)2
                                       χ′2 ≡           2      ,                                    (2)
                                                    2σT T

where NT T is the number of TTs measured in Q0-2, MAD is the median absolute deviation of the
measured TTs from an ephemeris, and σT T is the median TT measurement uncertainty. For the
standard normal distribution the expectation value of χ′2 is equal to the expectation of the standard
χ2 . The advantage of χ′2 for our application is that χ′2 is much less sensitive to the assumption that
measurement errors are well characterized by a normal distribution. A small fraction of significant
outliers can greatly increase χ2 but has a minimal effect on χ′2 . Of course, this comes at a price, χ′2
is not useful for recognizing TTV signals where only a small fraction of TTs deviate from a standard
linear ephemeris. We expect this is a good trade, given the predicted TTV signatures (Veras et al.
2011) and the characteristics of our TT measurements. We calculate a p-value based on χ′2 and
identify planet candidates showing strong indications of a TTV signal based on a p ≤ 10−3 . This
test identifies roughly ∼4-5% (29 or 39/807) of planet candidates with a S/N per transit greater
than 3 as showing excess scatter relative to a linear ephemeris. We find the larger fraction (∼5%)
when comparing to the EL 2 ephemerides (rather than the EL 5 ephemerides). We speculate that
this may be due to the EL 5 ephemerides being more robust to a small number of outlying TTs in
Q2 which would have a greater effect on the EL 2 ephemerides. We discuss these candidates further
in §4.1. A summary of these and other summary statistics for all planet candidates considered
appears in Table 3.



                          3.2.   Long Term Trends in Transit Times

                           3.2.1.   Difference in Best-fit Orbital Periods

     Next, we search the TTs in Q0-2 for evidence of a long-term trend. As a first test, we compare
the orbital periods we measure from our EL 2 ephemeris to the period of the EL 5 ephemeris reported
in B11. We find period differences greater than three times the formal uncertainty in the orbital
periods for roughly 14% (117/307) of planet candidates with a S/N per transit greater than 3.
Most of these have only three transits in Q0-2 or only slightly exceed the threshold, perhaps due to
a slight underestimate of the uncertainty in the orbital period. Of the planet candidates for which
the periods disagree very significantly and there are at least four transits in Q0-2, most show an
easily recognizable long-term trend and were identified as interesting by the χ′2 test described in
§3.1.
–7–


     For planet candidates with an apparently discrepant period and no more than 5 transit times
measured in Q0-2, often the EL 2 ephemeris could have been significantly affected by a single
outlying TTV point during Q0-2. KOI 1508.01 has 6 transits, and may also have been affected by
an outlier. Two planet candidates have large and nearly linear residuals suggesting an inaccurate
ephemeris was given in B11. Based on data through Q0-2 only, we provide alternative ephemerides
of: (118.05868±0.00011)+N ×(2.8153306±0.0000084) for KOI 767.01 and (147.41414±0.00085)+
N × (1.2094482 ± 0.000038) for KOI 1540.01. After discarding the cases above, the most compelling
candidates with at least five transit times observed in Q0-2 that were identified by this method
and not by the χ′2 test are KOI-524.01 and 662.01. KOI-961.01 is formally highly significant,
but we caution that the short transit duration may affect the TT measurements. KOIs 226.01,
238.01, 248.01, 564.01, 700.02, 818.01 and 954.01 are also identified based on an apparent
discrepancy (≥ 4 − σ) between the periods of the EL 2 and EL 5 ephemerides. KOIs 295.01, 339.02
and 834.03 also meet this criteria, but are even less secure since they have a S/N per transit of less
than three. If the putative signals are real, then they should become obvious with a longer time
span of TT observations.



                                3.2.2.   Difference in Best-fit Epochs

     We can perform a test similar to §3.2.1, but comparing the epochs we measure from our EL 2
ephemeris to the epoch from the EL 5 ephemeris reported in B11. This test identifies 30 planet
candidates for which the best-epoch for Q0-2 differs from that reported for Q0-5 from B11 at the
≥ 4σ level (excluding some with known issues regarding the TT measurements). Of these, 16
had not been identified by the χ′2 -test or the test for a difference in orbital periods between Q0-2
and Q0-5: 10.01, 94.02, 137.02, 148.03, 217.01, 279.01, 377.02, 388.01, 417.01, 443.01,
658.01, 679.01 and 1366.01. In addition, the χ′2 test flagged 1169.01 and 360.01 that have poor
TT measurements due to low S/N, 800.02 that may be affected by an outlier. While 279.01 and
679.01 have only three TTs during Q0-2, that is sufficient for testing whether the epoch matches
the B11 ephemeris. Particularly interesting are KOIs 279.01, and 658.01 and 663.02 that are in
systems with two planet candidates and 94.02, 137.02, 148.03, 377.02, 884.02 and 961.01 that are
in systems with three planet candidates.



                    3.2.3.   F -test for Comparing Quadratic and Linear Models

     While TTV signatures can be quite complex, the time scale for resonant dynamical interactions
among planetary systems is typically orders of magnitude longer than the orbital period. Thus,
we expect that the dominant TTV signature of many resonant planetary systems can be well
approximated by a gradual change in the orbital period over timescales of months to years. Indeed,
such a pattern led to the confirmation of Kepler-9 b&c (Holman et al. 2010). (The “chopping”
signature occurs on an orbital timescale, but a much smaller amplitude.) Thus, we fit both linear
–8–


and quadratic ephemerides (see §2.2) to the Q0-2 data, calculate χ2 for both models and perform
an F -test to assess whether including a curvature term significantly improves the quality of the
fit. This method has the advantage of being less sensitive to the accuracy of the TT uncertainty
estimates, as they affect both the numerator and denominator of the F statistic similarly. The
F -test does not result in a p value less than 10−3 for any of the KOIs that are still viable planet
candidates. For our application, the F -test has limited power, since we fit only TTs measured in
Q0-2, resulting in a shorter time span for a gradual change in the period to accumulate. We note
that the F -test does strongly favor the quadratic model for two KOIs previously identified as being
due to stellar binary or triple systems (KOI-646.01, Fabrycky et al. in prep; 1153.01), where the
curvature is sufficiently large that the period changes appreciably during Q0-2.

     Next, we consider systems for which the F -test gives a p-value of 0.05 or less. Quadratic
ephemerides for these KOIs are given in Table 4. Approximately 1% of KOIs considered are iden-
tified. Half of these correspond to candidates with only 4 or 5 transits in Q0-2, so it is impractical
to assess the quality of a three-parameter model accurately. Of the remaining systems, KOI 142.01
and 227.01 were already identified by the χ′2 test, while KOI-528.01 and 1310.01 were not. Upon
visual inspection, 528.01 appears to be a plausible detection of TTVs, but 1310.01 does not, as the
TTs and uncertainties are also consistent with a linear ephemeris. These candidates are discussed
further in §4.1.



                         3.3.   Periodic Variations in Transit Times

     Over long time scales, dynamical interactions in two-planet systems can result in complex TTV
signatures characterized by many frequencies. However, on short time scales, TTV signatures can
often be well described by a single periodic term. For example, for closely packed, but non-resonant,
planetary systems, the TTV signature is often dominated by the reflex motion of the star due to
other planets. In this case, we would expect a typically small TTV signal on an orbital time scale.

    Given the relatively short time span of the observations, we search for planet candidates with
a TTV signature that can be approximated by a single sinusoid,
                 ˆ    ˆ        ˆ   ˆ         ˆ ˆ           ˆ         ˆ ˆ
                 tn = E0 + n × P + A sin(2π nP /PT T V ) + B cos(2π nP /PT T V ),                (3)
 ˆ      ˆ                                                                 ˆ
A and B determine the amplitude and phase of the TTV signal, while 2π/PT T V gives the frequency
                                               ˆ
of the model TTV perturbation. For a given PT T V , finding the best-fit (i.e., minimum χ2 ) model
                                                                                  ˆ
is a linear minimization problem. Thus, we perform a brute force search over PT T V to identify
the best-fit simple harmonic model stopping a (Ford et al. 2011). Assessing whether the best-fit
harmonic model is significantly better than a standard linear ephemeris is notoriously difficult (e.g.,
Ford & Gregory 2007), even when the distribution and magnitude of measurement uncertainties
are well understood. Therefore, we plotted the cumulative distribution of summary statistics and
recognized a break in the distribution corresponding to a tail that included approximately 2% of
the planet candidates considered, which also included several KOIs which have since been moved
–9–


to the false positives list. One quarter of the KOIs in this tail had eight or fewer TTs measured
in Q0-2, so it was not practical to assess the quality of a five-parameter fit accurately. Of the
remaining KOIs with a possible periodic signal, 90% have some other evidence suggesting that they
are a stellar binary. Three KOIs remain: KOI-258.01 (most significant), 1465.01, and 1204.01 (least
significant). The first two were also identified by the χ′2 analysis described in §3.1. KOI-258.01
appears to show a periodic pattern with amplitude ∼40 minutes and time scale of either ∼28 or
58 days, however there is also a hint of a secondary eclipse for KOI-258.01. For KOI-1465.01 the
combination of a short transit duration and long cadence observations might have resulted in the
PDC data having artifacts that render the TTs unreliable. For KOI-1204.01, there is only a hint of
a periodicity and additional observations will be necessary to assess the significance of the putative
signal.



                        4.   Planet Candidates of Particular Interest

    In this section, we investigate KOIs of particular interest, including those which were identified
as potentially having transit timing variations based on one of the statistical tests described in §3
and several in multiple transiting planet candidate systems.



           4.1.   Planet Candidates with Potential Transit Timing Variations

     We provide a summary of the planet candidates identified by our statistical tests in Table
5. For completeness sake, the table includes all planet candidates from B11 with at least three
transits in Q0-2. However, we regard many as weak candidates. For a strong candidate, we
typically require: 1) a S/N per transit of at least 4, 2) at least 5 TTs observed in Q0-2 for most
tests, and 3) no indications of potential difficulties measuring the transit times (e.g., near data
gap, short duration, PDC artifacts, heavily spotted star). When comparing the best-fit epochs,
we require only three transits during Q0-2. Many of these candidates were identified by the χ′2
statistic which appears to provide a balance of sensitivity and robustness when searching for excess
scatter in the present data set. Those detected by other tests have already been discussed in §3.2
& 3.3. As the number of transits observed by Kepler increases, it is expected that model fitting
will eventually provide superior results (Ford & Holman 2007). For example, Kepler 9b&c, and
Kepler 11b-f were confirmed by transit timing variations, but only Kepler-9c shows TTVs in the
Q0-2 data. For Kepler-9b, the TTVs are not detectable during Q0-2, as the libration timescale
(∼10 years) is much greater than the time span of observations (Holman et al. 2009). The TTVs of
planets in Kepler-11 are much smaller and demonstrate the benefits of fitting a dynamical model
to TTs of all planets simultaneously (Lissauer et al. 2011a).

    The analysis presented in this manuscript considers each candidate individually. For multi-
candidate systems, it is possible that there exists a significant anti-correlation in TTV signals, even
– 10 –


though the individual signals do not reach the various significance thresholds given in Section 3.
If the relationship between TTVs of multi-candidate systems can be proven to be non-random, it
significantly weakens the probability that the candidate signals are due to false positives (Ragozzine
& Holman 2010), even if the properties of the planets cannot be directly inferred. This method of
confirming planets will become much stronger with additional data.



                                       4.1.1.   False Positives

      KOI 928.01 attracted the early attention of the Kepler Transit Timing Working Group, despite
its low S/N per transit. A detailed analysis suggesting that this is likely a stellar triple system will
be presented in Steffen et al. 2011. Several other single TTV candidates were identified as false
positives and removed from the B11 planet candidate list.



                                   4.1.2.   Weak TTV Candidates

     KOIs 156.02, 260.01, 346.01, 579.01, 730.03, 751.01, 756.02, 786.01, 1019.01, 1111.01, 1236.02,
1241.02, 1396.02, 1508.01 and 1512.01 appear to have excess scatter based on the χ′2 test. However,
the small S/N in each transit makes the TT measurements and uncertainties unreliable. Similarly,
KOI 295.01, 339.02, 700.02, 800.02, and 834.03 appear to have a change in orbital period and/or
epoch between Q0-2 and Q0-5, but may be affected by the small S/N in each transit. In particular,
KOI 260.01, 346.01, 800.02, 1111.01, 1508.01 and 1512.01 appear to be affected by an outlier.

     Several relatively weak TTV candidates will receive further attention once more TTs are
available. For example, KOIs 124.02, 148.03, 209.01 and 707.03 also appear to have excess scatter
and have host stars with multiple transiting planet candidates. These planet candidates are less
likely to be affected by random noise, given their higher S/N transits, but it is difficult to assess
whether the scatter is significant, since they have only three or four TTs measured in Q0-2.

     Of the TTV candidates with only 3 or 4 transits observed in Q0-2, KOI 148.03, 279.01 and
377.02 stand out, as all three have host stars with multiple transiting planet candidates and a
significant offset in epoch relative to the B11 ephemeris. This is suggestive of long-term trends
emerging during Q0-5. Indeed, KOI 377.02 has already been confirmed as Kepler-9b (Holman et
al. 2011). In the case of KOI 148.03, the scatter in the TTs of the other planet candidates is small,
but there may be a feature in common near 160 days, perhaps due to dynamics. Clearly, a more
detailed analysis incorporating TTs beyond Q0-2 is merited.
– 11 –


                                  4.1.3.   Strong TTV Candidates

     Based on Q0-2 data, the largest timing variations for active planet candidates are KOIs
227.01, 277.01, 1465.01, 884.02, 103.01, 142.01, and 248.01 (starting with largest magnitude
of TTVs). Each of these has well-measured transit times due to a high S/N in each transit, a transit
duration of over three hours (minimizing complications due to long cadence and PDC corrections),
and a star with limited variability. Each shows a clear trend of TTVs, indicating at least a period
change between Q0-2 and Q0-5. For KOIs 142.02 and 227.01, the period derivative can be measured
from Q0-2 data alone (see Table 4). Each of these candidates has been tested with centroid motion
tests, high-resolution imaging (except 884 and 1465), and at least some spectroscopic observations.
Only KOI 42 show any indications of the KOI being due to a blend with an eclipsing binary
star. Given the large magnitude of the period derivatives, the transiting body must be strongly
perturbed, by a companion that is massive, close and/or in a mean-motion resonance (MMR).
Despite the clear timing variations, we do not consider these confirmed planets. Confirming them
would require developing an orbital model that explains the observed TTVs and excludes possible
false positives, as was done for Kepler-9d (Torres et al. 2011).

      For example, it is possible that some (or all) of these may be examples of physically bound
triple systems consisting of the bright target star and a low-mass eclipsing binary. Eclipse timing
variations are not uncommon in the Kepler Binary Star Catalog (Prsa et al. 2011; Slawson et al.
; Orosz et al. 2011). If this is the case, then it may eventually be possible to detect eclipses of
additional bodies due to orbital precession, as observed in the triply eclipsing triple system, KOI-
126 (Carter et al. 2011). Indeed, some of the first KOIs investigated by the Kepler Transit Timing
Working Group have timing variations of a similar magnitude and time scale but turned out to be
triple systems (KOIs 646, 928). Since these systems were selected to have the largest amplitude TT
variations during Q0-2, it would not be surprising if they were atypical of multiple transiting planet
candidate systems. The Kepler Science Team will investigate these systems further to determine
which are indeed planets and which are multiple star systems. If they are planets, then the planet
radii are ∼ 2−3R⊕ , assuming stellar radii from the Kepler Input Catalog (Brown et al. 2011). Even
if all turn out to be false positives, the timing variations will play a critical role in understanding
the nature of these KOIs.

     Several other planet candidates were identified as having significant scatter in their TTs by
the χ′2 test or a difference between our EL 2 ephemeris and the EL 5 ephemeris of B11. Further
information for these is given in Table 5. A few, such as KOI 151.01 and 270.01, appear to
have hints of a pattern in the TTs, but large timing uncertainties make interpretation difficult at
this time. We expect that further TT observations will clarify which are real signals and enable
confirmation and/or complete dynamical model modeling. One potential source of astrophysical
false positives that could masquerade as planets with dynamical TTVs is an isolated star+planet
(or eclipsing binary) combined with stellar activity and/or spots. This is a particular concern for
planet candidates that appear to have excessive scatter of their TTVs, rather than a long-term
trend or periodic pattern. The Kepler Follow-up Observation Program will be conducting a variety
– 12 –


of follow-up measurements to help eliminate potential false positives and likely confirming many of
the multiple transiting planet candidates.



        4.1.4.   Strong TTV Candidates in Multiple Transiting Planet Candidate Systems

     Here we identify only planet candidates with a S/N per transit of at least 4, five or more
TTs measured in Q0-2 and a host star with multiple transiting planet candidates: KOIs 137.02,
153.01, 244.02, 248.01, 270.01, 528.01, 528.03, 564.01, 658.01, 663.02, 693.02, 884.02,
935.01 and 954.01. For most of these, there is no obvious pattern in the TTVs, perhaps due to
measurement errors, or perhaps due to a complex TTV signature. Visual inspection does reveal
several planet candidates with tantalizing patterns in the observed TTs.

    KOI 884.02 shows the most pronounced pattern, with a min-to-max variation of over an hour
within Q0-2. Any TTVs of KOI 884.01 are only suggestive at this time. The period ratio with KOI
884.01 is P884.02 /P884.01 = 2.17, slightly beyond the nominal 1:2 MMR.

     KOI 137.02 shows a significant shift in epoch between the EL 2 and EL 5 ephemerides. The
variations in KOI 137.01 are not statistically significant on their own, but are suggestive. The
period ratio with KOI137.01 is P137.02 /P137.01 = 1.94, slightly inside the nominal 1:2 MMR. A
detailed analysis of this system will be presented in Cochran et al. 2011.

   KOI 244.02 shows a significant shift in epoch between the EL 2 and EL 5 ephemerides, but
KOI 244.01 does not. The period ratio with KOI 244.01 is P244.02 /P244.01 = 2.04.

     KOI 663.02 and KOI 248.01 show significant shifts in both period and epoch between the
EL 2 and EL 5 ephemerides. KOI 663.02 is not near a low-order period commensurability with
another transiting planet candidate. KOI 248.01 is near the 3:2 MMR withi 248.02, with a period
ratio P248.02 /P248.01 = 1.52.

    KOI 528.01 appears to have a long-term trend and/or a periodic pattern of TTVs with a
∼20-30 minute min-to-max in Q0-2. There are not sufficient transits of the other candidates in
Q0-2 for a comparison of their TTVs. KOI 528.01 is slightly beyond the nominal 1:2 MMR with
KOI 528.03 with a period ratio P528.03 /P528.01 = 2.15.

    KOI 270.01 could have a sizable TTV amplitude (∼40 minutes), but relatively large TT
measurement uncertainties prevent such a pattern from being clearly recognized in the present
data. The period ratio with KOI-270.02 is P270.02 /P270.01 = 2.68.



                   4.2.   Candidate Multiple Transiting Planet Systems

     We discuss a few particularly interesting systems with multiple transiting planet candidates.
In order to form an order-of-magnitude estimate of the magnitude of TTVs that are likely to arise
– 13 –


in systems with multiple transiting planets, we performed an n-body integration for each of these
systems. We assume coplanar and circular initial conditions and assign masses according to

                                      Mp /M⊕ = (Rp /R⊕ )2.06 ,                                     (4)

as described in Lissauer et al. (2011b). As the TTV signature can be very sensitive to masses
and initial conditions (Veras et al. 2011), we do not expect that these simulations will accurately
model the TTV observations. However, they can help us develop intuition for interpreting TT
observations.



         4.2.1.    Non-detection of TTVs in Multiple Transiting Planet Candidate Systems

     Our n-body simulations of multiple transiting planet candidate systems indicate that we should
not be surprised that many multiple transiting systems have not yet been detected by TTVs. For
our assumed mass-radius relation and circular, coplanar orbits, only KOI 137.01 and 250.02 would
have TTVs more than twice the median TT uncertainty and at least three transits during Q0-
2. Interestingly, we do not detect TTVs in either of these. One possible explanation is that the
planets have smaller masses, resulting in TTVs with a smaller amplitude and/or longer timescale.
Alternatively, the planets may have eccentricities that significantly affect the TTV signal during Q0-
2. Or, there may be additional non-transiting planets that significantly affect the orbital dynamics.
Yet another possibility is that one or both of these KOIs are actually a blend of two planetary
systems (or one planetary system and one background eclipsing binary), rather than multiple
planets in a single planetary system. Since we chose these two systems based on the predicted TTV
signature being among the largest during Q0-2, it would not be surprising if they were atypical of
the multiple transiting planet candidate systems. Fortunately, simulations predict that the RMS
amplitude will grow to over 17 (137.01) and 5 (250.02) times the median timing uncertainty, so
further observations are very likely to resolve these systems.

     Looking at the predicted TTVs over the 3.5 year nominal mission lifetime for all the multiple
transiting planet candidate systems, we find that at least 25 transiting planet candidates in 12
systems would be expected to have detectable TTVs. The number of multiple transiting planet
systems with detectable TTVs could increase considerably if significant eccentricities are common
(Steffen et al. 2010; Veras et al. 2011; Moorhead et al. 2011).



          4.2.2.    Dynamical Instability & Multiple Transiting Planet Candidate Systems

     Our n-body integrations show that the nominal circular, coplanar models of only three KOIs
(191, 284 and 730) are violently unstable (Lissauer et al. 2011b). As it is unlikely that a (presumably
old) planetary system would go unstable on a timescale much less than the age of the system, we
presume that this is an artifact of our choice of masses and/or orbital parameters. This also
– 14 –


demonstrates the power of dynamical studies to help constrain the masses and orbits of systems of
transiting planet candidates. Alternatively, these KOIs could be a blend of two stars, each with one
transiting planet. This would be the natural conclusion, if a future, more thorough investigation
were to find that all plausible masses and orbits would quickly result in instability. However, the
close commensurabilities of the orbital periods of the planet candidates in KOI 191 (5:4) and 730
(6:4:4:3) make it extremely unlikely for these to be blend scenarios. The dynamics of systems like
KOI-730 is discussed in Fabrycky et al. (in prep). Assuming KOI 191, 284 and 730 are stable
multiple transiting planet systems, they could have very large TTVs due to their strong mutual
gravitational interactions that place them near the edge of instability. As the time span of Kepler
TT observations increases, TTVs become increasingly sensitive to the masses and orbits of such
planetary systems.



                                     4.2.3.   Specific Systems

     We do not analyze KOI 377 (Kepler-9; Holman et al. 2010), KOI 72 (Kepler-10; Batalha et
al. 2011) or KOI 157 (Kepler-11; Lissauer et al. 2011a) further, as more thorough analyses have
already been published using data beyond Q0-2.

     KOI-500 hosts five transiting planet candidates. If confirmed, they would be even more tightly
packed than the planets of Kepler-11 and would indicate that planetary systems like Kepler-11 are
not extremely rare (Lissauer et al. 2011b). The TTs during Q0-2 are shown in Fig. 2. KOI 500.01
was identified as a TTV candidate due to the difference in the best-fit epoch during Q0-2 from
that during Q0-5, as reported in B11. While the apparent discrepancy is suggestive, the Q0-2 data
is not sufficient to confirm the planetary nature of the KOI. This is not surprising as confirming
5 of the 6 planets orbiting Kepler-11 with TTVs required data extending over Q0-6 (Lissauer et
al. 2011a). Fortunately, the nominal model predicts that much larger TTVs (∼hour) will become
apparent for four of the 5 planet candidates in future Kepler data. The large amplitude is very
likely related to the near period commensurabilities of the orbital periods of the outer four planet
candidates (4:6:9:12). Each neighboring pair of planets has a period ratio slightly greater than the
nominal MMR, as is typical for near-resonant systems identified by Kepler (Lissauer et al. 2011b).
Further, each pair deviates from the nominal resonance by a similar amount, strongly suggesting
that the four bodies are dynamically interacting. Unfortunately, Kepler ’s nominal mission lifetime
is shorter than the dominant timescale of TTVs predicted for KOI-500. In order to establish that
a TTV signal is periodic, one needs to observe ≥ 2 cycles. Hopefully, the Kepler mission can
be extended, as the increased time baseline would dramatically enhance the sensitivity of TTV
observations to the planet masses and orbital parameters.
– 15 –


                                          5.   Discussion

                       5.1.   Precision of Transit Times from Kepler

     Our analysis of TT measurements during Q0-Q2 demonstrate that Kepler is capable of provid-
ing precise transit times which can be expected to enable the dynamical confirmation of transiting
planet candidates and detection of non-transiting planets. After discarding those planet candidates
with S/N per transit of less than 4 or just a few transits in Q0-2, the median absolute deviation
(MAD) of transit times from a linear ephemeris during Q0-2 is as small as ∼20seconds for Jupiter-
size planets, and 1.5 minutes for Neptune and super-Earth-size planets. The median (taken over
planet candidates) MAD of TTs is approximately ∼11 minutes for super-Earth-size planets, ∼6.5
minutes for Neptune-size planets, and ∼1.5 minutes for Jupiter-size planets. Since large planets
can be detected around fainter stars at low signal-to-noise, each class includes some candidates
with relatively poor timing precision (up to an hour).

     All the TT measurements presented in this paper were based on LC data only and were
performed in a semi-automated fashion. Experience with systems subjected to detailed TTV studies
suggests that TT precision could often be significantly improved, if individual attention to devoted
to mitigating systematic and choosing which transits yield the best templates. This work can serve
as a broad, but shallow survey of Kepler planet candidates. Our results can help scientists choose the
most interesting systems for follow-up work to perform more detailed light curve modeling (as well
as other types of follow-up such as observations from other observatories, theoretical investigations
and observations using short cadence mode).

     At any time Kepler collects photometry in short cadence mode (≈ 1 minute samples) for a small
fraction of its targets. In some cases, short cadence data may further improve timing precision.
It is expected that the differences in the times and errors inferred from the two data types are
small for purely white, Gaussian noise and adequate transit phase coverage. However, when either
precondition is not met, the accuracy of TTs can depend on whether LC or SC data are used.

     Short cadence times show improved accuracy and smaller errors for situations where the
ingress/egress phases are short in duration and largely unresolved in the long cadence photom-
etry. In the case of KOI-137, this improvement is significant, with timing errors differing by nearly
a factor of two at some epochs. In a similar vein, the short cadence times are more robust against
deterministic (as opposed to stochastic) trends that have characteristic timescales less than the long
cadence integration time. In particular, brightening anomalies occurring during transit associated
with the occultation of a cool spot on the star by the planet will be unresolved with long cadence
photometry and will likely result in a timing bias.

     For several planet candidates, the orbital period is a near multiple of the long cadence inte-
gration time. The result is sparse transit phase coverage that is not improved as the number of
observed epochs increases. In these cases, the short cadence photometry provides a more complete
phase coverage and, subsequently, times with smaller error bars.
– 16 –


     For low signal-to-noise transit events, stochastic temporally-correlated noise may dominate on
short cadence timescales. As a result, the short cadence timing uncertainties may be unrealistically
optimistic if they were inferred assuming a “white” noise model. Here, the long cadence photometry
will give more reliable errors when assessed with the same noise model by effectively averaging
over high frequency noise. Short cadence times estimated for Kepler-10b seem to be affected by
correlated noise, under the expectation of a linear ephemeris, given the relatively small timing
errors and the relatively large deviates (compared to the long cadence times).



              5.2.   Frequency of TTV Signals & Multiple Planet Systems

      While TTVs have been used to confirm transiting planet candidates, TTVs have yet to provide
a solid detection of a non-transiting planet. In principle, one strength of the TTV method is that
it is sensitive to planets which do not transit the host star (Agol et al. 2005; Holman & Murray
2005). A longer time baseline will be required before TTVs yield strong detections. Yet, we can
already use the multiple transiting planet candidate systems and the number of preliminary TTV
signals to estimate the frequency of multiple planet systems.

     Doppler planet searches find that systems with multiple giant planets are common (≥ 28%;
Wright et al. 2009). Kepler is probing new regimes of planet mass and orbital separation, so it
will be interesting to compare the frequency of multiple planet systems among systems surveyed by
Doppler and Kepler observations. B11 estimates the false alarm rate of Kepler planet candidates to
range from ≤ 2% for the confirmed planets (“vetting flag”=1) to ≤ 20% for well-vetted candidates
(vetting flag=2) to ≤ 40% for those that are yet to be fully vetted (vettting flag=3 or 4). Morton
& Johnson (2011) use the specifications for Kepler to predict that even incomplete vetting could
result in a false positive rate of less than ∼10% for planet candidates larger than 1.3R⊕ and a
typical host star. The most common mode of false positive involves a blend of multiple stars which
are closely superimposed on the sky (Torres et al. 2011). Contriving such scenarios for KOIs with
multiple planet candidates is more difficult. The odds of three or more physically unassociated stars
being blended together is extremely small. In many cases, requiring dynamical stability excludes
the possibility of multiple transit-like events being due to a multiply eclipsing star systems. The
most common types of false positives for a candidate multiple transiting systems are expected to be
either a blend of two stars each with one transiting planet or a blend of one star with a transiting
planet and one eclipsing binary (Torres et al. 2011). Even these scenarios become highly improbable
for pairs of planets that are close to a MMR. Thus, candidate multiple transiting planet systems,
and especially near-resonant candidate multiple planet systems, are expected to have very few false
positives (Holman et al. 2010; Fabrycky et al. 2011; Lissauer et al. 2011b).

     Given the low rate of expected false positives, we can use the frequency of stars with multiple
transiting planet candidates to estimate a lower bound on the frequency of systems with multiple
planets (with sizes and orbits detectable by Kepler using the present data), assuming that all
systems are coplanar. Table 1 lists the number of stars with at least one transiting planet candidate
– 17 –




                      Table 1.        TTV Candidates & Transiting Planet Candidates

 Ncps a      Nst b   Ntr c    Ntr d    Ntr e    Ntr f   NTTV g   NTTV h    NTTV i   % TTVj      % TTVk      % TTVl
                             s4n3      s3n5    s4n5      s4n3    s3n5      s4n5      s4n3        s3n5        s4n5

    1        809      809     462       453     371       95       59        45       21%         13%        12%
    2        115      230     121       110      83       24       16        13       20%         15%        16%
    3        45       135     71         67      57       14        8        6        20%         12%        11%
    4         8       32      15         14      10        2        1        1        13%         7%         10%
    5         1        5       2          3      2         1        1        0        50%         33%        0%
    6         1        6       4          3      3         0        0        0         0%         0%         0%
   All       979     1217     675       650     526      136       85        65       20%         13%        12%



  Note. — Number and fractions of systems with evidence showing for TTVs separated by the number of transiting
planet candidates in the system
  a Number    of candidates per star
  b Number     of stars
  c Number    of transiting planet candidates (only those used for this analysis)
  d Number     of transiting planet candidates with a S/N per transit ≥ 4 and at least 3 transits in Q0-2
  e Number    of transiting planet candidates with a S/N per transit ≥ 3 and at least 5 transits in Q0-2
  f Number    of transiting planet candidates with a S/N per transit ≥ 4 and at least 5 transits in Q0-2
  g Number     of transiting planet candidates from s4n3 sample that show indications of TTVs
  h Number     of transiting planet candidates from s3n5 sample that show indications of TTVs, excluding epoch offset
test
  i Number    of transiting planet candidates from s4n5 sample that show indications of TTVs, excluding χ′2 test
  j%   of planets from s4n3 sample that show indications of TTVs
  k%     of planets from s3n5 sample that show indications of TTVs, excluding the epoch offset test
  l%   of planets from s4n5 sample that show indications of TTVs, ecluding χ′2 test
– 18 –


(Nst ) and the number of transiting planet candidates (Ntr ), separated by the number of candidates
per star (Ncps ). The probability that at least two coplanar candidates transit for a randomly
positioned observer is simply R⋆ /a(2) , where a(2) is the semi-major axis of the planet with the
second smallest orbital period. Among the planet candidates in B11, the average a/R⋆ for single
planet candidates is ∼30. For stars with two (multiple) transiting planet candidates, the average
a(2) /R⋆ is 44 (39). Thus, the difference in the detection rates due to purely geometric considerations
would be modest. The fraction of Kepler planet candidate host stars with at least two (exactly two)
transiting planets (with sizes and orbits detectable by Kepler using the present data) is at least
∼23% (17%). For stars with at least three transiting planet candidates, the average a(3) /R⋆ is 50,
so the fraction of Kepler planet candidate host stars with at least three similar transiting planets
is at least ∼ 9.4%. Such a high occurance rate of multiple candidate systems requires that there
be large numbers of systems with one transiting planet where additional (more distant) planets
are not seen to transit, even in the most conservative coplanar case. Of course, the true rates of
multiplicity could be much higher, if systems have significant mutual inclinations. Lissauer et al.
(2011b) provide more detailed analysis of the observed rate of multiple transiting planet systems
and its implications for their inclination distribution and multiplicity rate.

     Next, we make use of the fact that TTV observations are sensitive to non-transiting planets.
Table 1 includes multiple values of the number of planet candidates (NTTV ) that were identified
as likely having TTVs by various sets of tests described in §3 and the number of planet candidates
which these tests were applied to (Ntr ). We evaluate the robustness of our results by applying
various sets of tests for TTVs to different samples of planet candidates. In Table 1 the columns
labeled sSnN refer only to planet candidates with a single transit S/N of at least S and at least
N TTs measured during Q0-2. Some planet candidates in the s4n3 sample have too few transits
to apply the χ′2 test, F -test and period comparison test. Similarly, for the epoch and period
comparison tests, we required a S/N per transit of at least 4, so these tests were not applied to all
the planet candidates in the s3n5. The s4n5 sample is the smallest, but is the least likely to result
in false alarms when searching for TTV signals. To further reduce the risk of false alarms, we do
not include the χ′2 test for excess scatter when analyzing the s4n5 sample. The columns labeled
“% TTV” give the fraction of planet candidates that were identified by the tests for TTVs that
were applied to the given sample.

     We find that ∼13-20% of planet candidates suitable for TTV analysis show some evidence for
TTVs, depending on the tests applied (see Table 1). We obtain similar rates when we consider
only systems with Ncps = 1 − 3 transiting planet candidates. For Ncps ≥ 4, the accuracy of the
resulting rates are limited by small number statistics.

     Of planet candidates which are near a 1:2 MMR with another planet candidate, 25% show
some evidence for a long-term trend. This could be due to planets near the 1:2 MMR being more
likely to have large TTVs, but we caution that this results is based on a small sample size and an
early estimate for the frequency of TTVs.
– 19 –


     Regardless of which sample and tests are chosen, we do not find significant differences in the
fraction of planet candidates which show TTV signals as a function of Ncps . This suggests stars
with a single transiting planet are nearly as likely to have additional planets that cause TTVs,
as stars with multiple transiting planets are to have masses and orbits that result in detectable
TTVs. Since large TTVs most naturally arise for systems that are densely packed and/or have
pairs of planets in or near a MMR, a system with a single transiting planet that shows TTVs is
likely to have a significant dispersion of orbital inclinations. A dispersion of inclinations has the
effect of increasing the probability that a randomly located observer will observe a single planet to
transit and decreasing the probability of observing multiple planets to transit. Thus, a dispersion of
inclinations may help explain the relatively small frequency of systems with two transiting planet
candidates relative to the frequency of systems with one transiting planet candidate. However,
simply increasing the inclination dispersion to match the ratio of two transiting planet candidate
systems to one transiting planet candidate systems fails to produce the observed rate of systems
with three or more transiting planet candidates. This suggests that a single population model is
insufficient to explain the observed multiplicity frequencies (Lissauer et al. 2011b).



            5.3.   Frequency of False Positives and Planets in Close Binaries

     The small fraction of systems with very large TTVs is consistent with the notion that the
Kepler planet candidate list has a small rate of false positives. In particular, physically bound
triple systems are one of the most difficult types of astrophysical false positives to completely
eliminate (i.e., an eclipsing binary that is diluted by light from a third star). In many cases, wide
triple systems would be recognized based on centroid motion during the transit (B11). For KOIs
that are not near the threshold of detection there is a relatively narrow range of orbital periods that
would escape detection by the centroid motion test and be dynamically stable (for stellar masses).
In many cases, such a triple system would exhibit eclipse timing variations, as are often seen in the
Kepler binary star catalog (Prsa et al. 2011; Slawson et al. 2011; Orosz et al. 2011). We identify
only a handful of systems with large period derivatives that are consistent with a stellar triple
system. This suggests that the Kepler planet list contains few physical triple stars with eclipsing
timing variations and that Kepler planets are rarely in a tight binary systems.



                               5.4.   Future Prospects for TTVs

     We identify over 60 transiting planet candidates that show significant evidence of TTVs, even
on relatively short timescales. Even for the early TTV candidates identified here, an increased
number of transits and time span of Kepler observations will be necessary before TTVs can pro-
vide secure detections of non-transiting planets. Additionally, follow-up observations to determine
the stellar properties and reject possible astrophysical false positives will also be important for
confirming planets to be discovered by TTVs.
– 20 –


     We expect the number of TTV candidates to increase considerably as the number and timespan
of Kepler observations increase. For non-resonant systems (e.g., Kepler-11), TTV typically have
timescale of order the orbital period, but relatively small amplitudes (Nesvorn´ 2009; Veras et
                                                                                  y
al. 2011). In this case, Kepler will be most sensitive when the planets are closely spaced (e.g.,
Kepler-11). Our analysis of TTs during Q0-2 identified no periodic signals at a confidence level
of ≤ 0.01. When searching for a simple periodic signal in time series, the minimum detectable
signal decreases dramatically as the number of observations increases beyond ∼12 observations and
continues to decrease faster than classical ∼ N −1/2 scaling even as the number of observations
grows to ∼40 observations. Thus, over the 3.5 year nominal lifetime of Kepler the increased number
of TT observations will significantly improve Kepler’s sensitivity to closely spaced, non-resonant
systems. In this regime, Kepler will be most sensitive to TTVs of short-period planets, since they
will provide enough transits during the mission lifetime to detect a periodic signal. Some TTV
candidates identified by Kepler will become targets for ground-based follow-up in the post-Kepler
era.

     For planetary systems near a MMR (e.g., Kepler-9), both the amplitude and timescale of
the TTVs can be quite large. Fortunately, continued observations provide the double benefit of
increased number of observations and an increasing signal size. To illustrate this point, we used
n-body integrations to predict the RMS TTV of multiple transiting planet candidate systems
identified in B11 for a nominal circular, coplanar model (see Fig. 3). During Q0-2 less than 2%
had a TTV signature with an RMS more than 10 minutes, but the fraction grows to over 10%
over the 3.5 year mission lifetime. Both this result and the ∼12% of suitable planet candidates
showing evidence for a long-term drift in TTs suggest that the TTV method will become a powerful
tool for detecting non-transiting planets as well as confirming transiting planets. For systems with
multiple transiting planets, the additional information makes the interpretation of TTVs even more
powerful for confirming their planetary nature and that they orbit the same host star (e.g., Holman
et al. 2010; Lissauer et al. 2011a). With continued observations, TTVs become very sensitive to
the planet mass and orbital parameters.

     Based on the distribution of orbital periods of Kepler transiting planet candidates in B11, at
least ∼16% of multiple transiting planet candidate systems contain at least one pair of transiting
planets close to a 2:1 period commensurability (1.83 ≤ Pout /Pin ≤ 2.18). If we assume that planets
near the 1:2 MMR are nearly coplanar, then true rate of detectable planets near the 1:2 MMR (if
both had a favorable inclination) is at least ∼ 25%. If a significant fraction of these systems are
not in the low inclination regime, then the true rate of pairs of planets near the 1:2 MMR would
be even larger (Lissauer et al. 2011b). This rate is approximately double the rate of systems that
show TTVs basd on our initial analysis of early Kepler data, implying that the number of systems
with TTVs could double over the course of the mission.

     In conclusion, transit timing is extremely complimentary to Doppler observations form con-
firming planets. On one hand, transit timing only works for planets with detectable TTVs. On
the other hand, TTVs can be quite sensitive to low-mass planets that are extremely challenging for
– 21 –


Doppler confirmation. Additionally, TTVs are likely to be particularly useful for confirming some
of the Kepler planet candidates with host stars that are problematic for confirmation via Doppler
observations (e.g., faint stars, active stars, hot and/or rapidly rotating stars).

     Of particular interest for the Kepler mission is whether the transit timing method might be
able to discover or confirm rocky planets in the habitable zone. Due to the TT uncertinaties
for Earth-size planets, a detection of TTVs of the rocky planet itself would require a large signal
which is only likely if the small planet is near a resonance with another planet. Further complicating
matters, planets in the habitable zone will have only a few transits for solar-mass stars. Fortunately,
Kepler is detecting many systems with multiple transiting planets, which would open the door to
TT measurements of both the planet in the habitable zone and an interior planet (see Fig. 4).
Indeed, Kepler has identified over a dozen planet candidates that are in or near the habitable
zone and are associated with stars that have multiple transiting planet candidates. In most cases,
the period ratio between the transiting planet candidates is large, so the TTVs could be small
(unless there are additional non-transiting planets). However, N-body integrations suggest that
continued Kepler observations of several pair could prove very useful for confirming (or rejecting)
these planet candidates based on TT. Of course, many other stars with a planet candidate in or near
the habitable zone may harbor additional non-transiting planets. The distribution of period ratios
of Kepler transiting planet candidates shows that planets near the 1:2 and 1:3 MMR are common.
For reference, Kepler-9 b & c were confirmed on the basis on 9(b)+6(c)=15 TT observations.
Obtaining 15 TTs for two planets in a 1:2 MMR requires observing for 5 times the orbital period
of the outer planet. Thus, it is feasible that a transiting planet in the habitable zone identified by
Kepler could be confirmed using TTVs, provided that there is another transiting planet near an
interior MMR and that the Kepler mission were extended to ≥ 6 years. The prospects improve
significantly for stars less massive than the sun, thanks to the shorter orbital period at the habitable
zone.


     Funding for this mission is provided by NASA’s Science Mission Directorate. We thank the
entire Kepler team for the many years of work that is proving so successful. We thank David
Latham for a careful reading of the manuscript. This material is based on work supported by
the National Aeronautics and Space Administration under grant NNX08AR04G issued through
the Kepler Participating Scientist Program. This material is based upon work supported by the
National Science Foundation under Grant No. 0707203.

    Facilities: Kepler.



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   This preprint was prepared with the AAS L TEX macros v5.2.
                                            A
– 24 –




Fig. 1.— Median absolution deviation of transit times from the ephemeris of B11 versus the
median uncertainty in transit time observations during Q0-2. Systems with one planet candidate
are marked with an X, and multiple planet systems are marked with a (red) disk.
– 25 –




Fig. 2.— Transit timing observations (points, left column only) and the TTVs predicted by n-body
integrations (lines). This is not a fit, but rather the output for a nominal circular orbital model
(Lissauer et al. 2011). The right-hand column shows the predictions over 7-years, while the left-
hand column zooms in on the first two quarters reported here. Rows are for KOI 500.03 (top),
500.04 (upper middle), 500.01 (lower middle) and 500.02 (bottom). KOI 500.05 is not shown, as
the TT error bars are ∼hour and the model TTVs are less than a second.
– 26 –




                         1
                                                                         Q0-2
                                                                         3.5 yr
                        0.9

                        0.8

                        0.7
   Cumlative Fraction




                        0.6

                        0.5

                        0.4

                        0.3

                        0.2

                        0.1
                           0.01   0.1   1          10        100         1000        10000
                                            RMS TTV (minutes)
Fig. 3.— Cumulative distribution of the predicted RMS TTVs for systems of multiple transiting
planets over the four months of Q0-2 (solid) and the 3.5 years mission lifetime (dashed). The
predictions are based on n-body integrations starting from coplanar and circular orbits. Actual
TTV amplitudes could be much higher for even modest eccentricities. Even for the case of all
circular orbits, over half have a TTV amplitude that is measurable with ground-based follow-up.
At least 10% of current multiple transiting planet candidates are expected to have amplitudes of
∼10 minutes or more, allowing for detailed dynamical modeling based on TTV observations.
– 27 –




Fig. 4.— Orbital periods and stellar masses for which confirmation of a transiting planet in the
habitable zone is practical. The x-axis is the orbital period of a transiting planet (Ptr ), limited by
the nominal mission lifetime (DKep =3.5 years). The black curve approximate the orbital periods
corresponding to the inner and outer edge of the habitable zone. The solid (dashed) magenta lines
indicate the orbital period beyond which Kepler would observe no more than 5 (10) transits during
DKep . It would be extremely difficult to interpret TTVs for planets to the right of these curves.
The solid (dashed) blue curves indicate the orbital period of a planet near the 1:2 (1:3) MMR with
the inner and outer edges of the habitable zone. A second planet significantly to the left of the blue
curves will not typically result in detectable TTV signature due to interactions with a planet in
the habitable zone. The solid (dashed) line indicates the stelar mass (M⋆ ) above which the orbital
period at the inner (outer) edge of the habitable zone exceeds DKep . The most promising prospects
for TTVs confirming a planet in the habitable zone involve a system with one transiting planet in
the habitable zone (between black curves) and a second transiting planet that is between the blue
– 28 –




Table 2.   Transit Times for Kepler Transiting Planet Candidates during Q0-2

                   KOI      n        tn             TTVn          σn
                                 BJD-2454900         (d)          (d)

                   1.01     0      65.645036       -0.000204   0.000073
                   1.01     1      68.115649       -0.000058   0.000051
                   1.01     2      70.586262       -0.000001   0.000079
                   1.01     3      73.056875       -0.000042   0.000186
                   1.01     4      75.527488       0.000045    0.000098
                   1.01     5      77.998101       -0.000020   0.000103
                   1.01     6      80.468714       -0.000041   0.000071
                   1.01     7      82.939327       -0.000091   0.000080
                   1.01     8      85.409940       0.000004    0.000074
                   1.01     9      87.880553       -0.000123   0.000054



                    Note. — Table 2 is published in its entirety in
                  the electronic edition of the Astrophysical Journal.
                  A portion is shown here for guidance regarding its
                  form and content. We also intend to make an elec-
                  tronic version avaliable online prior to publication at:
                  http://astro.ufl.edu/~ eford/data/kepler/
Table 3. Metrics for Transit Timing Variations of Kepler Planet Candidates.

                              (EL 5,T2)                               (EL 2,T2)
                                                                                                |∆ P | e   |∆ E| f
KOI      σT T   MADa    WRMSb MAXc           p′2 d
                                              χ         MADa    WRMSb MAXc           p′2 d
                                                                                      χ          σP         σE
        (min)   (min)   (min)     (min)                 (min)   (min)     (min)


1.01      0.2    0.1     0.1        2.4    0.99999727   0.1       0.1      2.5     0.99989265     1.3       1.1
2.01      0.3    0.2     0.3        0.7    0.66745223   0.1       0.3      0.8     0.99935567     1.4       1.4
3.01      0.7    0.3     0.4        3.2    0.99982414   0.3       0.4      3.1     0.99929283     1.2       0.6
4.01      3.5    2.4     3.5        8.6    0.84167045   2.8       3.4      9.4     0.35265519     0.0       2.4
5.01      1.9    1.4     1.6        3.1     0.711099    1.7       1.5      3.0     0.11421086     2.2       0.6
7.01      3.5    2.1     3.4       18.3    0.98587454   2.1       3.2      15.8    0.97553341     1.5       1.4
10.01     0.8   18.3     21.0      35.2         0       6.2       7.1      12.7   0.015052582     2.6
12.01     1.0    0.7     1.3        2.1    0.60479879   0.7       0.7      1.0     0.28837559     0.8       1.3
13.01     4.1    0.8     3.1       20.9         1       0.9       3.0      19.7         1         0.5       3.0
17.01     0.7    0.3     0.3        0.5    0.93944266   0.3       0.3      0.5     0.85296174     0.3       1.1
18.01     0.7    0.9     1.0        1.7   0.030577461   0.4       0.5      0.8     0.65314361     0.3       2.2




                                                                                                                     – 29 –
20.01     0.5    0.3     0.5        1.5    0.90732023   0.4       0.5      1.4     0.71942255     0.6       0.6
22.01     0.6    0.5     1.0        4.2    0.22568081   0.2       0.9      4.6     0.99376928     1.6       0.8
41.01     9.4    9.1     9.2       19.3    0.14659777   7.2       8.0      22.8    0.32234503     0.2       0.4
42.01     4.7   14.7     14.8      19.7     4.00E-15    3.1       3.5      5.3     0.33467081     1.3       0.5
46.01     4.3    1.6     5.6       15.4    0.99998638   1.7       5.6      15.3    0.99987464     0.2       0.2
49.01     7.4    4.9     5.7       12.7    0.73992243   2.2       3.6      7.9     0.99415475     0.1       0.6
51.01     2.0    0.5     0.9        1.9    0.96389448   0.5       0.7      1.4     0.61883068    17.3       0.0
63.01     3.2    1.2     2.7       19.5    0.98868323   1.3       2.5      17.2    0.92756729     1.4       0.1
64.01     3.8    2.3     3.5        9.4    0.99640901   2.4       3.3      9.0     0.98389423     1.8       0.1
69.01     3.1    2.2     3.1        6.2    0.73181601   2.4       3.1      5.7     0.47472802     0.6       0.2
70.01     3.0    3.2     4.2       10.4   0.061133419   2.8       3.6      11.4    0.10361429     0.9       1.9
70.02     6.7    4.6     7.3       57.6    0.86573929   5.0       7.0      55.0    0.55873677     0.4       2.8
70.04    33.7    6.6     37.7     138.1         1       9.3      37.4     136.7    0.99999533     0.6       0.8
72.01     8.2    6.0     9.4       48.5    0.91550494   6.4       9.4      48.3    0.55708987     0.9       0.9
72.02     4.9    0.4     0.7        1.1    0.99812806   0.0       0.0      0.1     0.99496589     3.4       2.3
82.01     3.2    4.1     4.2        6.0   0.017313477   4.1       4.0      5.2    0.003764048     0.4       0.7
82.02     9.0    5.0     12.0     111.4     0.931708    4.2      11.1     114.8    0.9520552      0.2       0.8
84.01     3.5    1.9     3.4       11.5    0.93794108   2.3       2.9      7.5     0.63089441     1.6       1.5
85.01     5.0    2.7     4.5       11.0    0.98441823   2.4       4.0      10.2    0.98986235     1.0       1.0
85.02    52.4   10.6     22.2     112.3         1       12.7     22.1     115.3         1         0.7       0.1
85.03    15.0    9.7     21.2      44.6    0.82709803   8.5      21.2      46.4    0.86674621     0.1       0.6
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


94.02     9.5    13.0     13.0     15.6    0.032338604   12.3     12.5      13.1   0.005123416   317.0       13.6
97.01     0.8     0.4     0.5       1.4    0.99648639     0.4     0.5        1.1    0.98688162    0.5         0.6
98.01     4.9     0.7     1.5       3.2          1        0.7     1.3        3.0         1        0.5         0.1
100.01    6.7     5.9     6.0      12.5    0.25415671     4.7     4.9       14.8    0.49515881    2.5         1.5
102.01    3.0     1.8     3.0       7.8    0.99847261     1.7     2.8        8.2    0.99971355    1.1         0.9
103.01    4.6    23.5     24.9     36.2          0        1.7     4.9       15.9    0.90263724   10.1         4.2
104.01    5.9     1.9     6.4      26.0          1        2.1     6.3       27.1    0.99999972    0.1         0.4
105.01    3.3     2.3     3.1       7.3    0.69657599     1.9     2.9        6.7    0.79593361    0.5         0.4
107.01    6.6     4.4     4.8      11.0    0.81665114     4.6     4.4       10.7    0.63276108    0.9         1.1
108.01    5.1     2.4     2.5       4.3    0.94863752     2.2     2.5        4.4    0.88138773    0.6         0.2
110.01    4.8     2.2     3.6      16.8    0.98650951     2.5     3.6       16.4    0.89613764    0.5         0.4
111.01    5.8     3.4     4.5       9.2    0.86038256     3.6     4.4        9.1    0.64421757    0.1         0.0




                                                                                                                      – 30 –
111.02    6.5     7.2     8.3      13.7    0.080308799    8.7     8.2       12.9   0.002192174    0.6         0.5
112.02    18.5   12.6     22.5     63.1    0.85910829    11.8     22.2      64.8    0.90299725    0.8         0.6
115.01    5.1     1.3     3.7      15.7    0.99999994     1.2     3.7       15.7    0.99999988    0.2         0.1
115.02    13.6    4.0     9.2      19.4    0.99996113     5.2     8.9       21.7    0.99602082    0.2         0.1
116.01    7.5     8.4     7.7      15.6    0.048012264    3.0     5.1       14.9    0.91819163    1.6         1.1
116.02    7.3     2.8     6.4      10.6    0.86961288     4.4     5.7        8.0    0.18353792    1.6         0.6
117.01    8.7     5.0     8.2      13.4    0.82915219     3.2     5.2       14.3    0.91921374    2.0         0.0
117.02    21.5    8.8     21.2     60.1    0.99984958    16.2     19.2      51.2     0.4905386    0.6         0.9
117.03    20.7   13.9     36.7     150.0   0.90373914    18.4     36.2     141.4   0.097261158    0.6         1.1
117.04    83.5   45.6     96.7     449.7   0.96254145    56.1     92.8     421.1    0.65775779    0.1         1.4
118.01    12.9    5.4     8.5      15.6    0.92651619     4.5     8.2       15.2    0.81099207    0.6         0.7
122.01    5.3     2.2     5.0      10.2     0.9851732     4.2     4.7        7.6    0.27010843    1.0         0.1
123.01    8.0     3.6     11.5     37.8    0.99705529     6.4     10.1      30.0    0.31744605    1.4         1.6
123.02    7.3     2.4     6.8      13.1    0.98531875     6.8     6.2       10.5   0.081870505    0.9         0.3
124.01    13.6   10.9     15.3     43.8    0.43374707     5.3     14.7      43.4    0.96782263    1.0         0.3
124.02    8.8     8.3     7.5       9.0    0.23188899     7.9     6.8        8.8   0.080674869    1.6         0.7
127.01    0.7     0.4     0.7       1.8     0.9945318     0.4     0.7        1.9    0.97383084    2.3         0.3
128.01    0.6     0.5     0.6       2.0    0.78208277     0.4     0.6        2.0    0.79957506    0.3         1.5
131.01    1.2     2.1     2.5       6.5      2.62E-09     1.0     1.3        4.8     0.3515113    0.6         1.5
135.01    1.0     0.7     1.2       5.0    0.65077067     0.7     1.1        5.3     0.5818778    3.0         1.3
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


137.01    2.1     2.1     3.0      31.7    0.062049934    1.7     2.4       32.9    0.27840051    2.5         1.2
137.02    1.9     1.3     2.1       4.2    0.59047062     1.7     1.6        2.9    0.12931018    1.2         6.0
137.03    15.3   11.4     16.7     45.7    0.66658325    10.7     16.4      52.1     0.7311264    0.9         0.6
139.02    31.7   13.4     30.0     98.0    0.99999122    18.8     29.1      81.2    0.97306244    0.9         0.2
141.01    2.4     1.4     2.1       5.5    0.99001857     1.4     2.0        6.0    0.98610276    0.7         0.2
142.01    4.3    19.8     19.1     29.4          0       13.3     11.4      18.1         0        8.2        12.6
144.01    5.2     4.9     5.8      18.3    0.070405945    4.6     5.7       17.2    0.11307597    0.2         0.7
148.01    9.5     5.0     8.1      21.7    0.99463961     5.1     7.8       20.5    0.98479452    0.7         0.9
148.02    4.5     2.9     5.5      18.8     0.7801617     3.0     5.3       16.8    0.57864979    2.5         2.6
148.03    9.8    10.7     9.2      22.0    0.12958845     0.1     0.1        0.1    0.98595413    2.9        12.3
149.01    6.3     2.8     5.3      12.8    0.96157323     2.0     2.8        6.6    0.97222511    0.0         0.2
150.01    6.5     2.9     3.5       7.1    0.99313616     3.2     3.4        6.9     0.9449915    0.1         0.0




                                                                                                                      – 31 –
150.02    8.9     4.2     5.4      10.5    0.85116977     5.6     5.2        8.8    0.28966722    0.2         0.1
151.01    6.3    10.6     9.0      17.1      2.48E-06     3.0     4.1       11.4    0.89586618    4.6         0.2
152.02    9.7     6.9     7.9      11.6    0.55549867     3.0     3.3        5.4    0.85934384    1.5         0.2
152.03    12.4    6.3     9.1      17.1    0.92038904     4.8     5.9       11.6    0.93186358    1.3         0.4
153.01    5.6     4.5     7.2      14.4    0.41842245     7.3     6.6       10.5   0.000395973    1.2         0.6
153.02    7.1     3.9     8.4      45.7    0.99050896     4.0     8.1       43.5    0.97253653    1.3         0.5
155.01    7.0     3.1     5.9      30.2    0.99868204     2.9     5.9       30.6     0.9985353    0.8         0.5
156.01    9.7     8.4     11.1     22.8    0.28723819     8.7     9.5       26.6    0.13045819    1.6         1.3
156.02    14.4   18.2     27.8     109.4   0.000169556   13.6     26.5     109.6   0.062392491    2.0         1.1
156.03    4.1     1.2     2.3       6.9    0.99868967     1.2     2.2        6.1    0.99217569    0.3         0.8
157.01    7.2     7.1     9.8      16.8    0.12524872     4.7     9.1       16.9    0.55750364    1.2         0.2
157.02    6.6     4.4     4.0       6.8    0.63513028     4.2     4.0        6.8    0.37599593    0.4         1.9
157.03    4.0     6.3     6.2       9.4    0.003886391    1.5     1.7        3.4    0.63961181    3.3         0.5
157.06    18.0   15.3     18.1     44.0    0.32621514    14.6     17.9      42.3     0.2444876    0.4         0.1
159.01    9.1     8.9     11.6     29.2    0.11180289     6.4     11.3      26.8    0.51655727    0.1         0.6
161.01    3.9     2.6     4.0      15.4    0.91981851     2.4     4.0       15.2    0.96594571    0.6         0.6
162.01    8.5     5.0     6.8      14.6    0.84076704     5.1     6.8       14.7    0.65762625    0.5         0.5
163.01    7.0     6.2     11.0     52.2     0.2466841     5.5     10.7      47.6    0.30418995    0.3         1.1
165.01    7.0     5.8     6.5      10.5    0.36402274     4.3     6.1       12.3    0.58545823    0.2         0.3
166.01    7.1     9.4     11.5     21.3    0.002517424    9.0     8.0       16.7    0.00149333    3.0         1.6
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


167.01    9.8     7.0     12.1     30.9    0.73217302     6.8     12.0      31.0     0.7092131    0.9        0.4
168.01    13.1    6.9     16.3     50.6    0.93800877     6.6     14.5      39.9    0.88536273    1.6        4.0
168.02    47.8   39.5     69.7     213.9   0.36947977    40.2     69.2     218.6     0.2215729    0.5        0.4
168.03    44.6   24.9     44.4     81.4    0.94596753    28.6     35.0      83.7    0.71993969    1.4        1.1
171.01    10.6    6.7     10.9     25.7    0.90139707     6.7     10.8      23.9    0.81055481    0.4        0.1
172.01    8.5     8.6     12.7     24.7    0.11429709    14.1     11.8      18.6     4.90E-06     0.5        1.4
173.01    11.6   10.9     12.7     25.5    0.16662144     9.2     12.4      25.9    0.28728258    1.0        1.1
176.01    11.5    6.3     6.9      11.2    0.80254354     5.6     6.8       12.4     0.6077188    1.0        1.1
177.01    14.5   18.9     15.4     22.6    0.013871918   10.6     13.3      19.9    0.28435937    0.9        0.3
179.01    8.6    14.5     15.8     58.0    0.000152069    7.1     14.6      58.3    0.16910905    1.4        0.0
180.01    8.8     4.4     6.5      10.3    0.96193692     3.3     4.8       11.0    0.98309058    1.4        0.4
183.01    0.5     0.3     0.4       1.4    0.97199142     0.3     0.4        1.4    0.97756339    0.1        0.1




                                                                                                                      – 32 –
186.01    0.9     0.3     0.6       1.2         1         0.3     0.6        1.2         1        0.0        0.3
187.01    0.8     0.0     0.2       0.4     0.9997405     0.1     0.1        0.2    0.82041991    0.8        0.1
188.01    0.6     0.5     0.9       4.7    0.62137077     0.5     0.9        4.8     0.2870704    0.0        0.3
189.01    0.9     0.4     0.3       0.6    0.81130566     0.4     0.3        0.5    0.59756469    0.7        0.2
190.01    1.3     1.3     2.6       8.2    0.10105516     1.4     2.4        7.1   0.028657014    0.3        2.1
191.01    1.2     0.9     1.3       3.2    0.62638467     1.0     1.2        2.8    0.23891752    1.2        0.3
191.02    12.9    9.5     20.0     56.7    0.76852469     8.2     19.2      50.0    0.96687334    1.8        0.1
191.03    49.7   23.9     46.0     182.2        1        27.0     49.8     163.0         1        1.2        0.1
191.04    58.6   17.4     17.5     28.5    0.98344131     6.9     9.0       13.5    0.99090958    0.2        1.2
192.01    0.8     0.4     0.6       1.1    0.96172643     0.4     0.6        1.1    0.95632961    0.5        0.3
193.01    0.8     0.6     0.5       0.8    0.44634571     0.0     0.1        0.2     0.9028308    5.5        2.5
194.01    2.6     0.6     1.9      13.5         1         0.7     1.9       13.8         1        0.1        0.1
195.01    0.8     0.5     0.9       8.5    0.95338554     0.4     0.9        8.7    0.99467902    0.7        0.3
196.01    0.7     0.5     0.7       3.4    0.89949585     0.4     0.7        3.3    0.99874001    1.4        0.7
197.01    0.8     1.0     1.0       1.5    0.016176357    0.8     0.8        1.4    0.05078992    1.8        0.8
199.01    1.0     0.6     1.0       2.5    0.99272173     0.6     0.9        2.6    0.97103253    0.6        1.1
200.01    1.0     0.5     1.0       4.0    0.98877833     0.4     0.9        3.6    0.99159788    1.0        0.7
201.01    7.0     2.4     2.4      12.3    0.99999904     2.6     2.4       11.5    0.99996647    0.5        1.4
202.01    0.8     0.5     0.7       2.3    0.99696707     0.5     0.7        2.3    0.99101077    1.1        0.8
203.01    0.7     0.6     0.7       3.6    0.13312885     0.6     0.7        3.6    0.14251895    0.3        0.3
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


204.01    1.7     1.4     1.8       6.2    0.28684302     1.3     1.7        6.1    0.47764383     1.0       0.4
205.01    1.0     0.7     1.4       5.4    0.67359556     0.7     1.4        5.6    0.51141935     0.1       1.2
206.01    2.4     1.3     1.8       4.9    0.97739907     1.4     1.8        5.6    0.92797231     0.7       0.3
208.01    4.9     2.0     2.6       5.7    0.99999855     1.9     2.5        6.4    0.99999944     2.3       0.5
209.01    2.0     3.4     3.8       4.8     0.0042149     3.6     3.4        4.6   0.000108707     2.8       0.8
209.02    3.3     1.7     8.7      17.8    0.82500155     3.5     8.6       16.9   0.036904548     0.9       1.0
212.01    2.1     1.4     2.5       5.7    0.82471978     1.7     2.4        5.9    0.32559997     2.3       0.1
214.01    1.5     0.9     1.7      11.2    0.97335068     0.7     1.7       11.0    0.99993462     0.7       0.9
216.01    2.5     1.0     3.1      10.4    0.96109924     1.2     3.1       10.2    0.68320385     0.5       0.1
217.01    0.9     0.7     0.9       3.5    0.51371281     0.6     0.9        3.2     0.8999275     1.4       4.6
219.01    2.8     1.9     2.7       6.5    0.76605909     1.8     2.3        6.5    0.75358377     1.8       0.1
220.01    2.9     2.2     3.1       9.0    0.75810376     2.1     2.9        7.1    0.82267841     2.0       1.1




                                                                                                                      – 33 –
220.02    36.3   17.0     49.8     178.1   0.99962092    24.3     48.9     165.8    0.81476702     1.3       0.4
221.01    2.5     2.2     2.6       6.7    0.26978724     2.2     2.6        6.6    0.18869327     0.4       0.7
222.01    8.3     4.6     7.5      18.2    0.97286375     4.1     7.2       17.8    0.97959141     0.5       0.2
222.02    9.5     4.7     13.1     26.8    0.91449794     8.3     11.8      20.4    0.13388569     2.2       0.6
223.01    6.8     3.3     6.1      13.8    0.99973941     3.0     6.1       13.4    0.99995185     0.5       0.2
223.02    9.0     7.0     5.9       8.0    0.42000351     1.8     1.7        2.3    0.66919883     2.6       1.0
225.01    3.7     2.4     4.4      74.5    0.99926748     2.4     4.4       74.7    0.99825783     0.3       0.1
226.01    10.6    8.2     13.0     26.9    0.51275718     9.8     10.2      21.6   0.083977284     4.1       1.3
227.01    3.8    36.3     66.2     109.9        0         5.5     7.2       12.3    0.00028818    33.7       3.5
229.01    3.2     2.3     2.8      17.9    0.76705404     1.8     2.7       18.1    0.98574847     0.9       0.9
232.01    3.4     3.6     3.6       9.8    0.065699024    2.2     3.3       11.3    0.60090967     0.1       1.2
232.02    19.0   11.8     22.3     62.9    0.91500872    11.3     21.6      58.3    0.89842696     1.9       0.7
234.01    10.7    8.4     8.7      12.5    0.47207156     8.0     8.7       13.7    0.41948815     0.3       0.4
235.01    10.0    5.0     7.3      20.9    0.99502875     5.8     7.3       20.8    0.93208493     0.4       0.2
237.01    10.4    6.5     9.7      26.8    0.85926269     5.5     9.2       28.1    0.91264615     1.5       0.2
238.01    14.5   15.9     33.3     70.9    0.056591325   16.0     25.3      43.6   0.017408912     4.1       1.5
239.01    7.6     4.7     5.7      11.1    0.91629028     3.9     5.3       11.2    0.97376917     0.6       1.5
240.01    8.0     6.8     9.2      21.8    0.29843757     6.0     8.9       21.9    0.55647144     0.7       0.7
241.01    7.4    10.0     12.5     27.8    0.001313043   12.9     10.8      20.1     1.03E-07      2.7       1.6
242.01    3.5     2.2     3.4       7.5    0.87624967     2.9     3.3        7.0    0.23753434     0.1       0.5
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


244.01    1.7     2.2     2.0       6.4    0.005423181    1.5     1.8        7.7    0.14534664     0.6        0.5
244.02    3.7     5.0     4.5       9.9      6.67E-05     2.6     2.5        5.7    0.64186157     0.7        3.2
245.01    3.5    11.6     18.4     54.4      4.93E-11     5.7     17.4      60.4   0.000489352     1.7        8.1
246.01    4.3     4.1     4.5      12.0    0.092012543    3.9     4.5       11.4   0.098107351     0.5        0.4
247.01    6.8     2.5     10.0     19.8    0.98290209     3.9     9.8       19.9    0.60309425     0.5        0.1
248.01    7.3     3.5     8.1      25.3    0.99082216     3.6     6.8       18.7     0.9659645     4.5        3.4
248.02    8.5     5.6     13.7     94.6     0.7655133     9.0     12.5      98.7   0.022377549     1.0        0.9
248.03    15.4    9.1     22.1     58.0    0.99383516     8.9     21.2      54.8    0.99356392     2.9        1.3
249.01    4.2     2.4     3.1       6.6    0.87247006     0.9     1.9        6.8    0.99951576     2.3        0.9
250.01    4.6     3.1     4.1       9.9    0.68768223     1.3     3.5        8.6    0.99362271     0.1        1.7
250.02    5.9     4.5     5.1      10.2    0.48403266     4.5     4.7        8.2    0.24380497     1.5        1.0
250.03    34.2   14.5     37.6     149.6   0.99998435    14.3     36.4     138.4    0.99996183     0.1        1.4




                                                                                                                      – 34 –
251.01    4.1     2.7     4.7      23.2     0.9134354     3.1     4.7       23.0    0.48509255     0.2        0.5
252.01    8.7     7.0     10.6     17.6    0.42560986     5.6     8.8       17.6    0.41764123     1.5        1.4
253.01    5.9     6.1     6.8      13.8    0.034198778    5.1     6.4       16.3    0.18518009     0.9        0.4
254.01    0.8     0.6     0.8       4.8    0.69912465     0.6     0.7        4.9    0.58600301     0.5        0.8
255.01    7.7     5.0     3.9       5.7    0.61069408     2.9     2.1        4.0    0.63694653     1.0        1.2
257.01    4.7     2.9     4.2      14.3    0.89880058     3.0     4.1       15.1    0.76278922     0.2        0.4
258.01    11.9   21.5     59.8     240.9     1.11E-16    22.9     49.1     180.9         0        13.8       10.7
260.01    15.6    9.4     42.5     163.9   0.83864354    24.1     37.2     127.4     9.42E-06      3.4        0.6
261.01    6.1    10.9     6.8      19.2      7.97E-06    10.1     6.7       20.7     1.12E-05      0.1        0.5
262.01    15.4    4.4     14.8     31.8    0.99997831     8.3     14.5      33.3    0.90962008     0.3        0.8
263.01    16.3    5.5     28.0     54.1    0.97031368    20.8     19.9      47.7   0.005322006     1.9        0.6
265.01    36.1   12.7     36.4     100.8   0.99999395    17.5     34.1      83.0    0.99396981     1.3        2.7
269.01    18.9    4.0     7.4      13.4    0.99668965     2.8     7.2       12.1     0.982813      0.1        1.3
270.01    17.4   20.7     31.2     58.2      0.017533    26.9     29.9      49.3     1.92E-05      0.7        1.2
270.02    18.6    9.1     8.4       9.4    0.77071847     2.3     2.5        3.7     0.7852684     4.0        0.5
273.01    7.2     3.7     4.5      18.3    0.94650762     2.8     4.3       17.7    0.97785391     0.4        0.7
274.01    30.2   16.5     22.4     35.5    0.85626187    17.8     21.2      35.7    0.57198846     0.4        0.3
275.01    17.9   11.9     15.3     23.7    0.67885197     9.7     13.5      22.5    0.66939178     0.9        0.1
277.01    6.0    25.3     40.9     72.5          0        2.8     5.0       20.2    0.78961113    30.7       18.6
279.01    2.1     1.1     1.8       2.9    0.75286868     0.2     0.2        0.3    0.87269261     6.0        4.3
Table 3—Continued

                               (EL 5,T2)                              (EL 2,T2)
                                                                                                |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ         σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


279.02    13.9    7.9     12.3      19.6    0.80896122   8.1       8.4      18.8   0.52530852    1.3         0.4
280.01     4.1    5.1      4.5       7.1    0.00817993   3.2       3.4      10.9   0.28122714    2.0         0.8
281.01    10.8    8.3     72.2     185.0    0.46050574   24.4     49.5      85.7    1.14E-08     8.9        10.9
282.02    29.6   11.6     19.9      40.8    0.99866543   11.3     18.2      50.9   0.99578796    0.2         1.2
283.01     6.7    1.7      4.9      12.3    0.99849279   2.1       2.8      5.6    0.95150632    1.5         1.2
284.01    12.9   12.8     12.0      17.7    0.15930845   5.9       6.2      10.7   0.73684589    2.0         1.3
284.02    18.0   10.8     30.5     102.0    0.91558857   11.2     28.9     124.3   0.79985904    2.0         0.0
284.03    21.1   15.8     25.1      61.6    0.60179869   14.3     25.0      61.5   0.66848418    0.1         0.7
285.01     5.7    5.5      5.2       8.9    0.17043247   4.2       4.4      7.9    0.31648963    0.5         0.0
288.01    10.0   19.3     18.2      34.8     5.32E-09    18.6     18.1      33.0    5.25E-09     1.1         2.7
289.01     7.2    8.8      8.1       9.6   0.070617943   2.3       2.8      3.8    0.48291515    11.0        1.1
291.01    12.8    1.9      2.3       4.0    0.99175963   0.4       0.3      0.5    0.94302319    1.7         0.7




                                                                                                                     – 35 –
291.02    20.4   11.3     20.9      50.9    0.94572719   13.1     17.7      33.7   0.70078787    2.2         0.1
292.01    11.4    7.5     13.1      31.7    0.95301857   7.9      12.9      31.9   0.82948616    0.5         0.2
295.01     9.9    7.0     12.0      33.2    0.74383871   4.5      11.2      35.1   0.99432057    4.2         5.8
296.01     9.9    4.3      5.4       7.5    0.83262163   2.8       4.2      6.4    0.53859068    2.0         0.3
297.01    16.7   12.8     17.9      34.2    0.54185771   13.7     17.8      29.9   0.26766006    1.3         1.8
298.01    13.5    0.9      6.7      17.0    0.99998685   4.6       5.4      10.0   0.82221406    1.2         2.9
299.01    14.6   10.1     14.7      41.0     0.954408    10.2     14.6      43.0   0.91283882    0.0         0.6
301.01    15.6    4.8     13.7      28.3    0.99999218   6.0      13.7      28.3   0.99896732    0.8         1.8
302.01    11.6    5.9      9.7      21.5    0.80443367   7.8       8.2      16.5   0.24714338    0.3         1.3
304.01     5.1    4.4      5.9      12.9    0.29255807   4.7       5.5      11.6   0.10832331    1.2         1.4
305.01    11.3    6.3     10.4      46.5    0.98350886   8.0       9.7      43.6   0.66128638    0.8         1.2
306.01     9.3    4.3      4.1       7.6    0.85816079   1.6       1.2      1.6    0.91540422    0.1         0.7
307.01    14.2    5.0      4.9      10.5    0.97858564   3.4       4.1      8.0     0.9706469    0.6         0.2
312.01    12.7   18.5     22.8      58.0   0.000238467   19.7     22.2      60.3    7.78E-06     1.2         0.2
313.01     7.9    3.6      3.0       5.2     0.9230473   2.0       2.2      9.8    0.96599497    0.5         0.3
313.02    15.7    7.0      6.4      14.0    0.98968182   7.2       6.0      12.7   0.95766491    0.2         1.9
314.01     4.4    3.3      4.0       7.3    0.53706149   3.8       4.0      7.6     0.1568915    0.5         1.5
314.02     6.4    4.8      4.9       5.6    0.48031383   2.8       2.5      3.2    0.55254082    0.9         1.3
316.01     8.5    5.5      6.0       9.9    0.69431684   4.3       5.4      13.0    0.6593251    0.3         2.3
317.01     9.8    5.4      5.5       7.5    0.79076483   2.1       3.4      6.2    0.94895477    1.0         0.1
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


318.01    6.7     2.6     5.1       9.4     0.8647526     2.5     2.6        2.7    0.42452061    10.1        1.0
321.01    17.1   12.9     21.3     58.9    0.69381398    14.5     21.1      58.8    0.19699072     1.0        0.8
323.01    19.1   30.3     32.9     269.6     1.95E-09     8.2     20.4     294.9    0.99756997     1.5        2.4
326.01    15.6    5.7     14.4     55.7    0.99888705     7.1     14.2      53.2    0.96123178     0.6        1.0
327.01    18.1    6.9     21.2     86.3    0.99999915     6.9     19.2      75.6    0.99999662     3.2        0.8
330.01    23.4   26.2     31.3     66.4    0.019163379   14.9     28.9      74.0    0.68586039     1.7        0.8
331.01    15.2   25.0     28.7     48.8    0.000285606   20.4     28.0      42.3     0.0020791     1.1        0.5
332.01    15.3   15.8     18.1     44.4    0.029722797    8.8     16.3      36.6    0.91978582     2.1        0.9
333.01    20.8    3.3     6.0      13.8     0.9999294     4.9     5.8       11.6     0.9874892     0.2        1.0
337.01    19.0    4.7     11.6     23.0    0.99694594     6.8     10.7      18.5     0.8765242     0.4        0.2
338.01    16.1   11.8     17.6     48.3    0.62896735    13.0     16.8      38.9    0.27695282     2.0        0.9
339.01    16.5   11.4     16.6     48.9    0.92466415    11.5     16.5      48.9     0.8782667     0.1        0.3




                                                                                                                      – 36 –
339.02    32.0   19.3     46.0     137.9   0.92225861    28.8     37.2     112.7    0.11686992     4.0        1.5
341.01    8.0     5.2     7.8      19.6    0.84196405     5.3     7.7       18.3    0.67938207     1.1        1.0
341.02    14.6   14.7     27.9     83.9    0.03264905    16.4     27.4      78.3   0.001386103     0.1        0.5
343.01    8.0     5.7     9.4      19.2    0.74180591     6.4     9.2       20.6    0.33597761     0.0        1.3
343.02    12.6   10.6     18.1     128.1   0.25296899    10.3     17.8     130.8    0.31082299     0.1        1.8
344.01    4.8     2.9     3.8       4.9    0.63781813     0.8     0.7        1.0    0.71920246     4.7        0.3
345.01    4.5     2.8     2.6       3.6    0.60321844     0.2     0.3        0.5    0.92761642     3.6        0.8
346.01    5.8     9.4     12.9     143.7     2.19E-05     5.3     9.3      148.4    0.09768589     0.8        2.0
348.01    3.9     6.7     7.7       8.9    0.002866661    6.4     5.2        6.7   0.000341499    12.6        0.5
349.01    7.9     5.9     6.4      13.0    0.54213099     4.0     5.3       11.5    0.78865011     1.5        0.3
350.01    12.0    2.0     3.9       9.7    0.99998823     3.1     3.5        8.1    0.99578222     0.1        1.5
352.01    17.8    9.3     16.3     27.4    0.78408029    10.6     10.5      14.2    0.32525663     0.2        1.4
354.01    10.0    8.8     10.2     15.1    0.28198592     4.1     8.8       15.4    0.87425425     0.3        2.0
355.01    12.4   10.7     16.8     210.2   0.26484271     8.0     13.1     213.5    0.81952665     1.9        3.8
356.01    4.9     3.5     5.7      22.9    0.85994343     3.3     5.7       22.9    0.93498712     0.4        0.3
360.01    25.3   16.1     32.5     66.3    0.86480396    15.7     22.5      58.7    0.79953737     3.5        4.8
361.01    22.9   14.3     35.2     90.7    0.97029257    12.7     34.5      81.5    0.99279663     0.2        0.2
369.01    16.7   11.0     18.6     76.8    0.84984314     8.3     18.4      73.3    0.98249068     0.4        0.1
377.01    2.3     0.8     0.8       1.3    0.93302904     0.0     0.0        0.1    0.99911082     0.4        0.6
377.02    4.7     7.9     8.6      12.6    0.004034632    0.2     0.3        0.4    0.91184439    16.7       11.8
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


377.03    27.0   17.7     32.1     112.6   0.98438344    21.8     28.7      89.8    0.35996862    2.5        0.1
379.01    17.2    6.3     26.3     52.4    0.99978219    11.2     24.8      47.9    0.73581608    2.5        0.1
384.01    24.5   13.8     27.7     55.1    0.97786462    20.0     26.8      53.5    0.29057731    0.5        1.4
385.01    17.4   13.1     24.6     44.6    0.53000198    22.1     23.1      35.9   0.001785453    2.5        2.3
386.01    8.3     4.0     6.0      10.8    0.78202625     1.9     3.1        5.6    0.62224905    0.2        1.6
387.01    7.1     6.0     5.7      14.1    0.34475107     6.8     5.3        9.9   0.070146273    0.5        1.1
388.01   233.5   19.7     77.2     233.5        1        46.5     71.7     196.0    0.99999985    0.4        9.2
392.01    34.5    1.4     9.9      15.4    0.99982619     6.6     7.4        9.0    0.67590567    0.6        0.3
393.01    25.0    7.7     11.7     22.1    0.98012123     8.2     10.6      19.9     0.8393572    0.5        0.0
398.02    7.5     5.4     21.9     101.8   0.75080186     6.6     21.5      98.0    0.14705779    0.5        1.2
401.01    3.5     2.9     3.6       4.9    0.35703515     0.2     0.2        0.3    0.89399968    7.6        0.4
408.01    6.6     5.7     7.8      28.2    0.27089792     4.7     7.4       30.3     0.529365     0.3        1.1




                                                                                                                      – 37 –
408.02    10.7    6.8     8.9      21.2    0.74717683     8.8     8.8       19.0    0.20193272    0.5        0.3
408.03    21.5   10.3     12.5     18.9    0.83475859     7.1     8.1       14.3    0.70960551    1.1        0.1
409.01    10.3    6.7     8.3      16.8    0.70440411     4.2     6.5       13.0    0.86692266    0.3        0.7
410.01    2.1     1.5     4.0      52.2    0.63016347     1.9     3.7       49.8    0.12548569    3.2        0.2
412.01    2.7     1.8     2.4       6.6    0.86625754     1.8     2.4        6.6    0.75402224    0.9        0.1
413.01    6.7     5.8     5.9       9.6    0.31477502     5.7     5.8       10.7    0.14885938    0.3        1.3
416.01    4.6     1.7     1.4       2.9     0.9270674     1.4     1.3        2.3    0.74074907    0.2        0.6
417.01    1.6     1.9     1.6       2.7    0.03425553     1.0     1.0        2.5    0.48742978    0.2        4.7
418.01    1.1     0.4     0.5       0.8    0.95409308     0.3     0.3        0.5    0.79089691    0.0        3.5
419.01    1.1     0.4     0.4       0.7    0.91015747     0.2     0.2        0.5    0.94191537    0.7        0.2
420.01    3.0     1.8     2.2       6.0    0.91804594     1.2     2.1        5.6    0.99884138    1.8        3.4
421.01    0.8     0.7     1.0       1.8    0.24906331     0.8     0.9        1.7   0.007655862    0.9        1.1
423.01    5.7     9.5     5.2      12.8    0.001534191   12.2     3.4       15.9     4.59E-07     0.2        4.5
425.01    1.5     1.1     1.2      12.5    0.74726068     1.0     1.1       12.2    0.74714386    1.2        0.1
426.01    8.0     7.7     9.6      13.9    0.17165855     7.1     8.8       16.4    0.12195087    0.2        1.7
427.01    6.9     4.5     5.6       8.6    0.56728722     4.5     4.2        4.5    0.15643663    5.8        2.2
428.01    2.7     1.5     2.0      15.4    0.96208307     1.4     2.0       15.3    0.94223268    0.2        0.0
429.01    3.3     1.9     2.9       6.6    0.90295149     2.4     2.8        6.1    0.45442385    0.1        0.3
430.01    6.4     4.6     6.1      14.0    0.58373105     4.6     5.7       11.0    0.34895771    0.8        0.9
431.01    10.2    5.0     5.4      12.5    0.89420223     3.7     4.3        9.9     0.8744959    0.6        0.4
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


431.02    10.4   15.5     14.1     18.6    0.014731084    9.2     10.2      13.1   0.052578611    9.4        0.2
432.01    5.5     3.4     4.4      10.2    0.92482495     3.4     4.3       10.2    0.85996414    0.3        0.1
435.01    7.5     7.5     11.2     23.9    0.16878142     6.1     10.8      21.4    0.15849289    0.3        1.8
438.01    8.8     3.4     6.2      16.3    0.99984276     3.6     5.8       14.1    0.99853816    0.6        0.1
439.01    3.9     2.6     3.9      10.7    0.97271579     2.5     3.9       10.7    0.98204165    0.1        0.1
440.01    9.1     6.0     7.1      13.1    0.69524064     5.8     7.0       12.1    0.48574946    1.2        1.6
440.02    9.2     9.6     15.9     86.8    0.019298327    9.8     15.8      83.8   0.006278561    1.7        1.5
442.01    16.9   16.5     20.8     36.7    0.15487012    19.4     18.0      24.5   0.011153454    1.4        0.4
442.02    27.8   17.0     35.0     84.5    0.99748556    21.6     33.5      75.8    0.52264078    3.1        1.7
443.01    11.9   10.0     13.3     23.6    0.35035917    11.8     10.9      15.9   0.055145468    0.1        4.8
444.01    14.1   16.5     16.2     28.9    0.028542834   11.9     12.0      17.1    0.17387623    2.4        0.6
446.01    12.6   11.7     13.0     19.9    0.22454881    11.3     11.4      22.5    0.10627174    0.4        0.6




                                                                                                                      – 38 –
446.02    19.5    6.8     6.9       9.4    0.90126799     6.4     6.7        8.1    0.47858245    1.4        0.8
448.01    9.7     5.7     5.9       9.6    0.86596018     5.2     5.9        9.6    0.80402208    0.1        0.1
452.01    17.4    9.1     12.8     29.4    0.99812642     9.1     12.5      33.3    0.99523835    1.2        0.7
454.01    17.3   12.9     10.0     18.3    0.47711128    13.8     9.7       16.1     0.1346324    0.6        1.6
456.01    8.7     8.2     9.2      17.6     0.1836453     8.9     8.4       15.8   0.040786373    1.1        0.5
456.02    27.4   15.2     43.7     159.0    0.9900628    17.8     42.9     148.3    0.85832222    0.3        1.9
457.01    8.2     4.9     13.6     54.6    0.95791458     5.1     13.1      50.7    0.88054998    1.8        1.2
459.01    8.7     3.5     5.7      14.0    0.93435174     1.1     3.8        9.0    0.98932126    1.0        0.3
459.02    39.8   20.2     68.4     153.7   0.97870628    20.3     67.2     139.6    0.94153324    0.5        1.0
460.01    6.3     4.6     4.6       6.9    0.54165358     3.5     3.8        7.8    0.58132447    1.1        0.0
463.01    3.6     5.0     5.1       7.2    0.019885053    3.2     2.7        5.3   0.082167005    0.9        1.9
464.02    9.4     6.3     9.6      28.6    0.85127256     6.1     9.4       25.2    0.79389944    1.1        0.6
466.01    4.1     3.4     5.0       9.2    0.37947528     4.1     4.9        8.4   0.033468389    1.4        1.4
467.01    3.2     4.9     3.5       5.1    0.00540304     4.1     3.2        4.5   0.006767789    1.1        1.3
468.01    4.5     1.9     3.0       5.1    0.88523556     2.0     2.0        2.6    0.52359204    0.8        1.0
469.01    3.5     2.8     2.7       4.6    0.48465293     2.8     2.6        4.4    0.27675031    0.2        0.4
470.01    3.6     1.6     3.9      54.5    0.99986482     1.1     3.9       53.4    0.99999986    0.7        0.7
471.01    16.9    6.4     9.1      13.7    0.95255963     7.7     8.0       10.0    0.65748835    2.1        2.0
472.01    8.1     4.1     9.0      34.0    0.99690006     4.3     8.7       31.8    0.98367111    0.3        0.1
473.01    11.1    2.9     9.1      19.3    0.99900783     5.7     5.5        9.0    0.76608567    3.4        3.5
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


474.01    13.5    6.6     11.7     38.9     0.9585778     4.9     11.0      34.4     0.9798315    0.1        0.3
474.02    16.5    7.7     10.6     15.1    0.88701966     4.6     6.2       17.3    0.89448862    1.0        0.7
475.01    15.0    8.5     13.5     28.3    0.91981521    10.9     12.8      30.5    0.44991643    0.6        0.5
475.02    14.6    4.5     20.7     45.0    0.99402922     8.6     10.5      18.0    0.58451596    3.2        0.3
476.01    12.6   19.0     17.6     25.7    0.001501655   13.3     17.2      29.2   0.031886526    0.9        1.1
477.01    12.1    9.4     19.0     89.0    0.46849007    10.5     15.0     105.5    0.14022034    1.8        3.2
478.01    4.3     4.4     5.2       8.5    0.10516056     4.6     5.0        9.7   0.021586518    0.7        0.8
480.01    8.5     4.8     6.2      13.3    0.98500519     4.9     6.1       11.9    0.95154402    0.1        0.5
481.01    7.9     4.3     7.8      48.1    0.95868756     4.1     7.3       44.5    0.94390425    1.0        0.3
481.02    14.9   11.5     18.6     56.8    0.61470174    10.7     18.3      54.2    0.84871317    0.6        1.3
483.01    10.3    6.3     11.6     27.7    0.93439962     6.5     11.3      31.7    0.84615555    0.7        1.6
484.01    9.6     1.7     7.2      13.2    0.99956065     8.1     6.2        8.6    0.15539003    0.7        1.2




                                                                                                                      – 39 –
486.01    12.6    8.3     43.1     107.7    0.6084807    41.7     29.1      44.5     1.11E-15     5.3        3.8
487.01    15.1    7.4     20.3     63.1    0.98438452    11.9     16.8      41.7    0.32709793    2.1        3.4
488.01    29.1   15.2     36.3     88.5    0.94353164    10.4     24.3      48.2    0.98793837    2.0        1.0
490.01    18.3    8.7     26.9     84.3    0.99900239    12.8     24.5      65.9     0.6998975    2.7        0.3
490.03    17.4   11.0     26.0     80.0    0.86479372     9.2     25.9      79.4    0.93063091    0.3        0.2
492.01    15.7    7.2     6.8       8.7    0.85618908     2.8     1.9        3.4    0.90554671    0.9        2.7
494.01    10.6    7.7     8.9      14.3    0.50270536     9.3     7.9       14.2   0.087665347    0.0        0.6
497.01    17.4    4.4     8.1      15.4    0.99961212     5.1     7.7       14.5    0.99113121    1.0        1.2
497.02    39.3   20.2     45.3     115.8   0.99609804    22.4     42.7     102.1    0.96213481    1.5        0.5
499.01    16.2    8.1     12.7     26.1    0.96862494     7.4     11.8      20.4    0.95033213    0.4        0.8
500.01    9.1     6.5     13.0     28.6    0.66811472     3.3     10.0      19.3     0.9976317    3.9        0.7
500.02    8.2     8.9     11.6     27.3    0.041456158    5.5     10.3      29.0    0.56740326    3.0        3.0
500.03    26.8   15.8     43.8     153.1   0.99085943    14.6     42.6     140.0    0.99573193    1.9        1.6
500.04    19.2   14.8     24.0     89.0    0.55763918     9.7     22.2      95.0    0.99265411    2.5        0.0
500.05    27.0   11.3     26.8     682.9   0.99999965    11.0     26.7     683.9    0.99999948    0.3        0.9
501.01    27.3   30.6     27.1     41.1    0.095444835   18.1     16.7      24.5     0.2527165    0.8        1.6
503.01    10.3    5.4     8.3      18.9    0.96596605     6.4     8.0       21.6     0.7396599    0.7        0.3
505.01    10.2    9.1     12.7     22.5    0.26069055    10.5     12.2      19.1   0.034752521    0.1        3.1
506.01    9.0     5.3     8.0      36.0    0.99945398     5.7     7.7       35.8    0.99092535    3.3        1.8
507.01    7.4     7.5     7.6      15.4    0.14869272     5.3     7.2       20.4    0.32021899    0.7        0.4
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


508.01    9.7     7.3     10.2     26.0    0.63762265     7.9     12.1      25.4    0.40794296    0.3        1.7
508.02    13.6    5.8     9.1      17.3     0.9443842     6.2     5.3        7.8    0.74338748    0.5        2.8
509.01    12.8    8.5     18.6     60.6    0.88320664    10.4     16.4      52.6    0.29466399    3.1        1.7
509.02    10.7    9.6     16.7     39.4    0.24750617     8.5     16.5      36.9    0.27267275    0.1        0.5
510.01    19.2   12.8     32.7     109.2   0.92516339    13.1     32.6     108.6    0.84339076    0.6        0.3
510.02    18.2   10.6     27.0     73.2    0.93442677    16.9     22.3      54.0   0.087291291    1.8        2.5
511.01    9.8     4.2     8.4      16.7    0.99476071     5.5     7.9       13.9    0.86410711    0.1        1.7
512.01    28.0   20.2     28.2     92.6    0.68196676    21.7     25.7      74.2    0.38997822    1.0        1.0
513.01    15.1    4.1     4.2       5.6    0.95203049     1.7     2.1        3.3    0.80259234    0.0        1.0
517.01    7.0     2.9     6.6      20.2    0.99999916     2.5     6.4       19.0    0.99999996    0.2        0.7
518.01    7.9     4.5     7.5      17.0    0.80706386     4.6     7.3       18.2    0.52363854    0.7        0.1
519.01    18.4   10.4     28.4     58.2     0.8528028    15.6     20.1      36.7    0.17093072    2.4        1.9




                                                                                                                      – 40 –
520.01    10.4    5.8     8.2      13.2    0.86339323     7.5     6.5       11.8     0.3663366    1.4        1.1
520.02    21.3   14.2     46.4     130.8   0.83510763    15.8     44.4     124.4    0.50649644    2.4        0.7
520.03    11.6    6.6     8.0      17.7    0.77136103     5.4     7.8       17.8    0.63763665    0.2        0.4
521.01    9.7     6.3     6.7      11.5    0.75906386     2.4     4.0        7.2    0.99863707    1.6        1.9
522.01    9.0     7.4     10.2     23.0    0.38735199     3.9     8.5       20.1    0.83324576    1.1        0.1
523.02    22.3   18.0     24.8     41.8    0.39246056    22.6     18.1      26.1   0.039848547    1.4        0.3
524.01    8.4     8.2     13.7     36.7    0.045522239    7.6     10.0      23.5   0.098775486    7.8        7.8
525.01    6.7     2.9     6.2      13.4     0.9781138     2.9     5.9       11.2    0.91450148    0.4        0.7
526.01    6.7     3.4     6.3      18.2    0.99996894     3.5     6.2       17.2    0.99984409    0.4        1.4
528.01    10.8   11.2     14.1     25.0    0.073023263    8.8     10.5      16.4    0.24679098    2.2        3.5
528.03    8.5    12.8     18.7     28.1    0.003594179   15.8     17.4      24.0     6.71E-06     1.1        0.8
530.01    19.1    8.8     16.4     32.0    0.97844579    10.9     16.1      35.9    0.77797262    0.2        0.4
531.01    3.3     5.5     9.4      27.7      1.11E-15     6.0     9.3       29.2         0        1.2        2.8
532.01    14.3   12.9     16.8     44.3    0.15738921    10.1     16.5      47.2     0.6786841    0.2        0.1
533.01    17.9   18.7     21.5     35.4    0.10178161    14.0     17.1      30.3    0.23942852    0.2        1.8
534.01    10.0    8.8     19.5     50.3    0.23496182     7.3     18.0      39.7    0.49883735    2.0        0.5
534.02    17.1   16.4     25.1     89.2    0.033643932   13.4     23.2      72.0    0.45345501    2.9        0.9
535.01    8.0     5.9     9.1      23.5     0.6175038     4.7     7.9       25.3    0.87463901    2.4        1.4
537.01    16.4    7.8     18.7     60.3    0.99993744     7.8     18.6      64.1    0.99986195    0.8        0.3
538.01    14.6    6.4     5.5       9.4    0.91314262     5.6     5.1        8.3    0.76262433    0.8        0.4
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


541.01    17.5    6.0     11.7     22.0    0.98884823     7.3     9.8       16.9    0.86244199    1.1        0.4
543.01    11.6   12.2     19.9     50.4    0.010678925   11.2     19.0      40.0   0.034419494    2.7        0.1
543.02    22.2   21.3     30.1     76.2    0.037649827   23.0     29.7      82.5   0.002904857    0.9        1.1
546.01    16.0    3.3     8.0      18.1    0.99692124     3.9     4.5        6.3     0.9282117    1.1        0.1
547.01    5.5     4.0     3.4       5.3    0.51022853     3.1     2.5        5.0    0.38528161    0.4        1.0
548.01    10.8    8.2     8.7      14.3    0.46204256     8.4     7.8       12.4    0.14936317    0.5        1.3
550.01    11.2    5.0     9.1      18.4    0.95015887     5.5     7.7       13.5    0.75875745    0.1        1.5
551.01    16.1    4.9     37.6     101.0   0.99830363     6.6     36.7      93.1     0.9333973    0.5        2.1
551.02    15.4   12.2     17.5     42.2    0.47940972     8.8     16.6      45.6    0.92219759    1.1        1.0
552.01    2.8     1.5     3.0      32.8    0.99876304     1.5     3.0       32.4    0.99556833    0.1        1.0
554.01    6.6     2.6     5.0      73.7    0.99999508     2.8     5.0       73.5    0.99993479    0.4        0.2
555.01    27.7   21.5     39.6     112.4   0.55323293    25.7     37.3     115.0   0.055668305    3.0        1.2




                                                                                                                      – 41 –
557.01    14.7    8.6     13.4     31.1    0.80079204     7.6     12.8      32.8    0.70484591    1.0        1.2
558.01    10.9    5.6     7.2      20.4    0.96186334     6.5     6.3       13.0    0.74857063    0.3        1.2
560.01    14.5    3.4     9.6      13.3    0.99449443     8.5     8.7       11.1     0.4377935    0.5        0.5
561.01    15.9   12.8     22.6     72.1    0.44279582    11.1     22.3      66.0    0.67418681    0.7        1.7
563.01    28.8   16.5     27.0     53.5    0.82315018    16.8     26.3      48.7    0.58760866    0.3        0.3
564.01    16.7   10.1     29.7     63.9    0.72075129     8.6     14.5      27.5     0.5609253    4.2        0.4
566.01    13.8    3.9     7.8      13.1     0.9449868     4.8     6.0        7.7    0.44669861    1.6        0.5
567.01    10.4    4.7     7.0      17.3    0.98224138     3.1     6.2       17.7    0.99705714    1.6        2.2
567.02    15.4   22.8     21.2     32.6    0.003858143   12.7     17.6      27.3    0.14821116    1.7        0.1
567.03    15.5   14.7     13.7     17.7    0.23343857     3.1     3.9        5.9    0.66640614    6.1        1.1
568.01    19.4   12.4     16.5     35.6    0.94957998    13.8     16.1      39.7    0.71725404    0.0        0.0
569.01    19.3    9.1     16.2     25.4    0.88371134     6.2     15.7      32.4    0.84704462    0.1        0.2
571.01    12.5    8.3     8.9      19.1     0.7897387     7.2     8.5       18.5    0.84728549    0.4        0.7
571.02    11.3    7.3     15.3     44.1    0.68292757    12.6     14.3      38.9   0.019455479    0.2        0.3
571.03    13.4   13.4     19.8     35.7    0.022733215   12.5     19.3      39.8   0.053598912    0.2        1.6
572.01    20.2   10.3     14.3     35.6    0.94475941     5.1     10.9      27.8    0.99834263    2.0        0.1
573.01    14.6   11.0     17.5     43.7    0.58739812    13.6     16.5      33.6   0.073152904    1.6        0.3
573.02    35.7   19.7     41.0     145.6   0.99976171    26.5     39.3     159.3    0.70126932    1.9        1.4
574.01    8.5     5.2     10.8     18.6    0.71178134     5.9     8.3       23.5    0.28976079    1.6        0.9
575.01    19.5   17.1     14.3     19.4    0.30343383    12.5     10.4      14.0    0.27689513    2.1        0.9
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


577.01    19.6    4.3     5.6       7.7    0.97390088     1.8     3.0        5.6    0.84140956    3.5        0.4
578.01    7.2     3.8     4.8      10.3    0.98101996     4.4     4.8        9.6    0.82918002    0.2        0.5
579.01    14.0   15.8     24.7     74.6      9.10E-06    16.2     24.1      71.8     7.45E-07     1.3        1.4
580.01    11.9    6.9     8.3      16.1    0.93204412     5.5     8.1       16.8    0.97861458    0.8        1.6
581.01    6.8     5.6     6.7      13.6    0.36455305     5.9     6.6       13.0    0.15632048    0.1        0.1
582.01    11.0    6.9     12.5     39.8    0.90045788     6.3     12.4      38.0    0.90989332    1.1        0.1
583.01    26.3   14.0     26.5     71.8    0.99973042    11.5     25.7      66.2    0.99999766    0.6        1.5
584.01    10.5    4.4     12.9     50.3     0.9906683     8.5     11.3      37.2    0.24644737    1.5        1.2
584.02    12.1    5.6     10.4     15.5    0.89182953     7.4     7.9       11.5    0.40152102    1.3        0.2
585.01    11.5   10.0     15.5     64.0    0.22034811     9.5     15.5      63.1    0.25919888    0.2        0.5
586.01    17.1    7.7     10.8     16.0    0.94408889     6.2     5.9       10.7    0.91825633    1.4        0.5
587.01    11.1   13.1     15.0     30.8    0.023986644   11.4     13.0      24.3   0.038092214    2.1        0.6




                                                                                                                      – 42 –
588.01    15.3    8.9     13.8     26.8    0.86978571     8.3     11.9      23.0    0.80040135    0.8        0.3
589.01    53.7   17.4     36.1     73.1    0.98577041    23.8     29.4      59.9     0.7615314    0.3        1.0
590.01    19.4    7.7     46.6     164.5   0.99092565    23.5     38.8     124.0   0.003307198    2.5        3.6
590.02    16.2    4.9     5.2       6.9    0.93520145     1.2     1.9        3.7    0.87590504    0.3        0.5
592.01    18.5   10.8     12.7     21.5    0.65779705    10.8     12.7      21.4    0.20488806    4.2        1.3
593.01    20.0   10.1     16.9     36.4    0.95702874    10.0     16.6      31.5    0.88776964    0.5        0.1
596.01    11.8    8.8     17.4     40.2    0.74489082    11.7     16.4      35.3   0.001108231    5.0        1.0
597.01    17.9   15.6     19.3     30.7    0.30998619     6.6     11.4      24.1    0.86695595    2.0        0.8
598.01    12.7    9.4     17.4     72.4    0.59246181     8.2     16.2      65.1    0.68191464    1.8        0.1
599.01    13.6    9.7     17.3     37.4    0.68763644    11.1     12.7      20.9    0.27301256    2.9        0.9
600.01    22.2   19.5     35.7     94.8    0.18718037    14.2     33.2      79.5    0.90743931    2.1        1.7
601.01    32.6    4.1     7.3      24.1          1        4.8     7.2       22.8         1        0.2        0.8
602.01    29.8    0.7     6.5      19.0          1        2.2     6.2       17.0    0.99999906    0.0        0.2
605.01    10.0    3.4     10.1     25.0          1        3.6     10.0      25.9    0.99999999    0.5        1.0
607.01    3.6     3.0     3.4      12.1    0.33647263     3.4     3.3       12.0   0.066900639    1.7        0.5
609.01    2.9     1.5     3.4      50.0    0.99395203     1.5     3.4       50.0    0.98835895    0.9        0.1
610.01    10.2    8.7     15.6     35.0    0.33544229     8.8     15.5      32.5    0.15007542    0.2        1.7
611.01    1.5     0.8     1.4       9.4     0.9996344     0.8     1.4        9.6    0.99701243    0.4        1.3
612.01    12.3   15.6     19.7     34.6    0.020056113    5.4     6.0       11.6    0.76969912    3.6        2.6
614.01    2.1     2.3     3.0       5.5    0.083895717    1.6     2.6        4.3    0.31184152    0.6        0.4
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


618.01    11.1   10.0     22.4     95.2     0.2252401    10.7     22.0      94.1   0.068953687     0.6       1.5
620.01    4.3     1.4     1.8       4.0    0.92593354     1.3     1.0        1.4    0.52056648     2.2       0.0
623.01    21.8   15.3     25.0     61.4    0.67759124    17.0     22.6      44.9    0.31943545     1.6       0.1
623.02    24.8    9.9     30.2     75.3    0.98023467    13.0     25.6      56.2    0.74952058     0.9       1.8
623.03    25.0   15.3     35.1     87.3    0.92350573    19.7     34.7      80.2    0.36287337     0.1       0.1
624.01    14.0   20.1     63.0     148.9   0.006638923   43.7     42.1     159.6     2.22E-16      6.3       3.5
626.01    15.7   14.6     19.9     38.6    0.23101732    19.0     19.1      33.8   0.008043793     0.1       0.8
627.01    12.3    8.2     11.0     22.6    0.75781035     7.4     8.3       13.0     0.7611121     2.1       1.4
628.01    12.4    7.3     10.3     17.5    0.81878895     5.9     9.9       14.3    0.83428191     0.5       0.9
629.01    29.0    6.6     5.5       6.6    0.97009622     1.9     2.1        3.8    0.88620247     2.6       0.2
632.01    16.7   10.1     22.0     48.6    0.90523627    10.0     19.1      43.8    0.82923143     3.0       0.2
635.01    13.0   10.7     15.4     33.2    0.38339267    12.5     14.8      29.7   0.067009608     0.3       0.9




                                                                                                                      – 43 –
638.01    6.3     2.5     2.5       3.4    0.91379578     2.9     2.3        3.6    0.50725464     0.5       0.8
639.01    13.1   15.5     19.6     39.8    0.050184169   14.5     13.9      21.2   0.022182295     1.9       1.1
640.01    5.5     4.3     4.5       6.5    0.40559975     0.6     0.8        1.1    0.80625758     4.8       1.1
641.01    7.6     5.8     7.4      23.4    0.49572327     6.7     6.8       26.5    0.14232301     0.9       2.5
645.01    20.2   18.2     34.5     82.9    0.21513746    23.5     31.0      60.9   0.003546801     1.9       0.9
645.02    26.4   16.1     24.3     36.6    0.70907193    13.2     23.4      34.3    0.58007334     0.1       0.4
647.01    21.5   16.8     25.8     60.7    0.51119146    17.7     24.6      60.1    0.26593347     2.0       0.3
649.01    18.3    6.9     13.4     25.2     0.9246362    11.2     10.0      13.8    0.30899041     0.5       0.2
650.01    5.8     5.5     5.1      10.8    0.17629864     2.3     4.1        9.0    0.92285347     2.0       2.0
652.01    2.3     1.5     1.2       1.9    0.64900002     0.7     0.6        1.2    0.78271623     1.3       1.1
654.01    20.5   12.7     25.8     57.4     0.8665769     8.9     17.3      36.0    0.98090188     3.5       1.1
655.01    8.0     8.3     8.3      11.6    0.16514122     3.2     3.3        4.7    0.38194961    14.6       2.6
657.01    13.0    9.0     15.0     70.6    0.82549229    10.8     14.8      66.1    0.23638065     0.7       0.5
657.02    9.8     4.4     5.8      24.2    0.94608424     4.0     5.4       24.5    0.87609861     0.0       2.1
658.01    21.5    6.6     10.3     30.5         1         6.6     10.1      31.2         1         2.2       4.6
658.02    12.0    5.5     14.2     43.8    0.99741558     7.7     14.0      42.6    0.78991349     0.3       0.6
659.01    12.9    9.3     9.1      11.0    0.54245699     4.0     4.9        9.7    0.85930531     0.7       0.6
660.01    22.4   19.4     27.1     70.0    0.26902157    20.5     26.7      67.9   0.093102328     0.5       0.1
661.01    16.7    6.9     24.5     70.9    0.97508982    11.7     22.9      61.9    0.40194787     0.5       1.3
662.01    24.9   13.9     22.7     63.2    0.91237762    20.6     20.6      44.0    0.22723412     6.1       5.3
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


663.01    7.9     5.8     8.4      31.8    0.72721528     5.2     8.4       32.8    0.89830242    0.1        0.4
663.02    8.0    12.9     12.2     16.6    0.000431686    4.9     6.7       11.9    0.47028322    4.6        5.5
664.01    18.1   17.4     36.5     59.2    0.18424586    24.8     28.9      51.9   0.000981038    2.9        1.3
665.01    10.2    5.6     9.9      28.4    0.97314145     5.7     9.6       28.2    0.92395857    1.2        1.1
665.02    49.8   26.3     53.0     200.8   0.99999211    31.3     52.0     185.8    0.99208769    2.8        1.2
665.03    78.6   23.0     79.8     300.0        1        28.3     78.9     299.5     0.9999999    1.1        1.6
666.01    7.4     6.3     6.4       9.9    0.33672547     2.4     2.0        3.9    0.72309618    1.8        1.7
667.01    5.2     3.7     4.5       7.1     0.7287436     3.8     4.4        7.2    0.51291028    0.1        1.1
670.01    19.8   16.9     22.8     92.0    0.31074877    13.2     22.2      93.2    0.61105058    1.0        0.6
671.01    24.5   14.0     20.2     49.8    0.98269336    11.6     17.8      44.2    0.99777883    1.9        0.7
672.01    8.5     2.0     6.2      16.1    0.99884468     3.8     5.5       11.7    0.82804446    0.2        0.8
672.02    5.5     4.0     3.0       4.1    0.48448944     0.2     0.2        0.2    0.93746604    2.5        0.1




                                                                                                                      – 44 –
673.01    20.5   13.8     16.0     40.7    0.85529171    11.1     15.6      38.6    0.97888233    0.8        0.0
674.01    5.0     4.6     4.1       5.9    0.25437459     1.7     2.5        4.7    0.82970521    1.4        0.2
676.01    2.6     2.8     3.4      11.2    0.022798997    2.0     3.0       12.1    0.38428424    1.0        0.4
676.02    3.7     3.5     6.2      114.2   0.040622585    2.1     5.8      115.8    0.99447957    0.4        2.1
679.01    19.9   15.9     21.2     32.3    0.38910658    14.3     18.1      23.2    0.11787075    9.7        5.0
680.01    1.7     1.2     1.8      13.1    0.76781541     1.3     1.7       14.5    0.37065604    1.3        0.5
684.01    8.8     8.7     13.0     42.8    0.02820332     6.6     12.7      40.7    0.54055055    1.6        0.1
685.01    19.7    7.3     19.6     69.6    0.99999982     8.2     19.4      65.4    0.99998498    0.8        0.8
688.01    17.8   13.9     21.5     47.6    0.53428649    16.1     20.1      44.0   0.077313835    0.9        2.1
689.01    9.1     8.1     9.8      15.4    0.28619433     5.7     5.4        8.4    0.28483127    1.5        0.9
691.01    12.3    4.5     11.8     20.1    0.88885309    11.2     11.1      16.1   0.048416866    1.6        0.8
691.02    50.2   47.9     66.1     107.7   0.17678718    46.1     63.1      94.8    0.10144564    0.5        0.9
692.01    27.2   13.8     19.6     71.9    0.99988619    16.4     19.5      68.7    0.98501923    0.6        0.1
693.01    24.1    5.7     10.5     20.0    0.98665767    11.3     9.4       14.2    0.49791979    0.2        1.0
693.02    20.0   25.2     85.1     340.6   0.010546127   68.2     76.8     266.5         0        4.6        1.1
694.01    9.7     4.8     13.7     33.3    0.88961536    12.6     11.2      20.8    0.00294363    2.5        1.7
695.01    8.1     2.3     4.8       7.8    0.94597424     2.1     2.9        4.1    0.57106083    4.0        1.1
697.01    11.4   11.8     18.2     41.1    0.010987102   14.0     17.8      37.2     1.44E-05     0.2        1.6
698.01    1.5     0.7     1.4       3.6    0.90512801     1.0     1.3        3.8    0.36446384    0.5        0.6
700.01    7.6     4.8     6.0       8.5    0.60659192     4.8     5.6        6.6    0.16830753    1.8        0.2
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


700.02    17.5   11.9     34.0     96.9    0.73965246    14.4     26.3      55.1    0.24173034     4.5       0.9
701.01    6.4     5.3     5.7      11.0    0.37444025     4.2     5.4        9.2    0.40058891     0.5       0.9
701.02    12.5    8.5     15.4     39.4    0.79684755    12.5     14.8      37.2   0.026872858     1.2       0.4
703.01    21.7   11.4     22.9     139.3   0.99999931    10.6     22.8     135.7    0.99999996     0.7       0.6
704.01    20.9   20.3     29.9     209.7   0.20572241    20.6     28.1     223.6   0.046453213     0.1       1.0
707.01    13.0    5.4     5.8      13.1    0.90082824     7.8     5.1        8.8    0.32229615     0.3       0.6
707.02    19.6   14.8     18.1     30.3    0.44418267     0.4     0.4        0.5    0.96452968     4.6       0.7
707.03    22.7   18.8     92.8     223.9   0.35992666    72.0     57.7      94.2     5.89E-12     31.1       1.5
707.04    27.5   24.8     22.5     47.4    0.24611997    11.5     20.3      52.1    0.90134562     0.8       0.5
708.01    12.5    6.7     9.8      19.2    0.85068356     6.3     8.7       17.5    0.66209513     0.8       0.4
708.02    20.5   16.4     25.3     54.9    0.44397051    21.8     20.2      35.3   0.015188132     2.2       2.3
709.01    11.7   15.6     28.3     44.1    0.015746422   22.8     26.0      31.8     1.54E-06      1.0       0.1




                                                                                                                      – 45 –
710.01    22.1   13.6     36.5     132.9   0.92562556    21.3     34.7     124.7   0.043118468     1.5       1.8
711.02    48.3   22.0     33.8     87.5    0.99988764    22.6     33.6      86.8    0.99936969     0.2       0.7
712.01    33.3   16.8     33.4     136.1   0.99997453    15.6     32.2     119.0    0.99999479     2.0       2.1
714.01    5.2     2.7     3.5       9.7    0.99611269     2.2     3.4       10.3    0.99969479     0.3       1.0
716.01    2.9     2.2     2.0       2.8    0.43565268     0.4     0.5        0.6    0.74734986    11.5       1.9
717.01    16.2    5.6     14.9     36.6    0.99320617    10.4     13.6      28.2    0.52473223     1.1       2.3
718.01    14.5    7.7     14.2     41.5    0.99177097     9.4     13.8      37.5    0.83343157     1.0       0.8
718.02    12.0    3.2     21.5     45.8     0.9904169    11.1     20.2      48.9   0.081577643     0.7       1.0
718.03    16.2    9.2     21.7     39.7    0.67557424    13.4     14.9      17.9   0.073052955     6.8       0.6
719.01    5.7     4.3     4.5      12.4    0.56498758     3.4     4.4       12.5    0.79108612     0.4       0.1
720.01    5.7     4.0     5.2      17.0    0.70636158     5.1     5.1       15.9    0.10706464     0.4       0.0
721.01    21.3   29.5     35.8     72.1    0.003450789   25.6     25.7      39.1   0.007142762     2.8       1.0
723.01    9.0     6.5     8.9      32.1    0.75626006     6.0     8.7       33.9    0.82221327     0.8       1.2
723.02    14.9   13.9     11.2     16.0    0.24873919     3.8     6.5       29.6    0.58290866     3.5       1.7
723.03    7.2     3.1     9.4      27.6     0.9891969     4.9     8.3       23.1    0.55999049     0.1       1.2
725.01    7.4     6.9     10.1     98.8    0.14646203     8.4     9.9      100.0   0.002936057     1.7       3.7
728.01    1.9     1.0     2.0       5.1    0.96644712     1.2     1.9        5.4    0.77484183     0.9       1.7
730.01    27.8   25.4     24.5     34.0    0.23166345    29.0     24.2      37.6   0.033331062     1.0       2.0
730.02    47.2   41.6     46.5     90.1    0.26147693    33.3     42.4     108.4    0.49825497     0.0       1.4
730.03    37.6   50.7     50.1     87.9    0.000395502   36.3     42.0      90.0    0.06112336     0.3       2.0
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


730.04    61.2   29.4     67.8     164.7   0.98743301    29.4     66.3     152.3     0.9638556     0.9        0.3
732.01    9.5     6.9     10.5     26.5    0.86683028     6.8     10.1      30.1    0.89346459     2.1        2.1
733.01    10.6    3.6     15.0     99.8    0.99995797     5.5     14.5      94.5     0.9657352     1.8        0.3
733.02    14.5    5.9     9.5      23.3    0.98943032     6.9     9.5       24.1    0.89827727     0.0        0.0
733.03    27.7   16.3     28.6     67.8    0.99035225    19.2     27.2      70.9    0.81017278     1.8        0.4
734.01    16.2    5.9     8.6      19.5    0.93462876    10.1     6.9       10.6    0.29190885     0.6        1.1
735.01    9.4    26.6     20.1     27.9      4.05E-10    11.5     16.5      33.7    0.00937252     2.7        0.7
736.01    14.2    7.1     6.8      12.1    0.88099968     6.3     6.0       11.0    0.76003091     1.1        2.5
736.02    24.1   10.8     31.1     71.7    0.99651661    19.1     29.8      61.7    0.32952173     0.3        0.9
737.01    6.5     4.2     3.9       5.3    0.70371149     1.7     2.2        4.6    0.95596439     1.3        1.0
738.01    14.2    9.6     10.9     20.6     0.7285779     8.9     8.8       17.3    0.65510302     2.4        2.9
738.02    18.7   12.3     26.3     55.1    0.73052401    11.8     25.2      54.7    0.59019257     0.3        1.2




                                                                                                                      – 46 –
739.01    13.0   10.6     18.4     47.4     0.3881949     9.8     17.9      50.9    0.73889948     2.0        2.8
740.01    21.0   13.3     17.8     39.3     0.7078978    11.8     17.4      37.0    0.56196379     0.2        1.3
741.01    0.9     0.3     0.4       0.6    0.86356459     0.1     0.1        0.2    0.79215343    10.5        0.9
743.01    5.1    10.2     17.4     102.9     8.79E-06     4.0     15.9     108.5    0.18371644     0.1       10.7
745.01    6.5     3.9     9.9      30.6    0.72597566     8.6     9.3       28.9    0.00370927     0.8        0.5
746.01    9.9     5.0     12.6     36.1    0.96355132     7.6     11.0      28.8     0.3468364     1.8        0.3
747.01    9.8     6.7     10.6     29.7    0.78315551     8.0     10.6      28.2    0.27636752     1.0        1.4
749.01    15.4   12.1     18.6     46.0    0.50867735    13.9     16.7      47.9    0.11706862     2.0        2.0
749.02    31.5   18.2     35.8     137.2   0.98138533    19.9     31.7     113.6    0.89108624     2.9        0.3
750.01    15.2   19.7     22.2     29.5    0.031465881    6.4     5.4        7.0    0.57678667     0.4        2.3
751.01    17.3   23.5     28.1     66.4      4.84E-05    22.2     27.1      69.4   0.000104399     1.8        0.9
752.01    20.9   13.3     21.7     46.0    0.82473595    15.3     18.3      38.3    0.45592354     2.7        0.5
753.01    3.8     1.5     16.6     84.7    0.95941041     6.8     15.3      70.3     6.22E-06      4.2        1.5
755.01    17.5    7.2     11.1     26.2    0.99999481     7.1     10.7      26.4    0.99998531     1.2        0.1
756.01    12.0    2.5     8.0      16.8    0.99956472     3.0     7.5       16.1    0.98321391     0.5        0.1
756.02    21.6   30.8     35.3     77.8      1.57E-06    30.3     34.6      73.3     9.95E-07      1.1        0.6
756.03    50.9   30.9     49.0     196.0   0.96975208    26.5     45.9     173.9     0.9944966     0.6        0.9
757.01    3.3     2.5     2.8       4.6    0.47192841     2.3     2.4        4.2    0.38287818     1.0        0.3
757.02    8.2    10.7     22.0     41.6    0.044764645    7.7     8.1        9.4   0.040264053    25.7        1.6
757.03    19.3   11.3     30.5     95.8    0.93950777    20.4     27.7      73.1   0.011362602     1.3        0.2
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


758.01    14.7    7.0     10.1     17.8    0.92921085     6.1     9.2      19.8     0.86115968    2.0        1.3
760.01    1.3     0.8     1.2       4.1    0.97127181     0.6     1.2       3.7     0.99608261    0.4        1.5
762.01    45.2   13.3     34.5     82.7    0.99999995    17.7     33.7     76.4     0.99989706    0.9        0.3
763.01    2.0     1.4     1.5       2.0    0.56952689     1.5     1.3       2.0      0.1547063    0.6        0.4
765.01    15.6    8.9     13.5     28.5    0.92746917    12.7     12.7     22.4     0.26520226    0.4        2.0
766.01    9.3     4.3     6.9      17.9    0.99786525     4.8     6.8      16.9     0.97879306    0.4        1.1
767.01    1.1     0.5     0.8       2.1    0.99995821     0.6     0.8       2.3     0.99687157   137.4      104.2
769.01    16.5   11.9     15.5     37.9     0.7265314    12.9     15.3     33.6     0.40624572    0.3        0.5
773.01    18.3    2.1     20.2     32.7    0.99577172    15.0     16.2     20.6    0.074187404    0.4        0.9
774.01    1.8     1.0     0.9       3.5    0.94897018     1.0     0.9       3.8     0.90683059    0.8        0.3
775.01    15.0   21.4     22.7     36.4    0.002066526   19.7     21.2     28.7    0.001867103    1.5        0.2
775.02    10.4   10.7     23.4     85.0    0.060192657   10.5     20.0     69.2    0.035142974    2.0        3.5




                                                                                                                      – 47 –
776.01    3.3     2.3     2.6       6.8    0.84946257     2.1     2.6       6.0     0.87855676    0.7        1.7
778.01    10.6    8.1     13.2     29.6    0.63551978     9.1     12.8     32.8     0.15812187    0.8        1.7
779.01    1.7     0.8     1.4       2.5     0.9443865     1.3     1.2       2.3     0.25034684    0.6        0.4
780.01    12.4    8.7     21.0     52.3    0.88419141    10.1     20.5     50.6     0.31987738    1.8        0.8
781.01    8.2     3.6     7.1      17.9    0.97547288     5.7     5.3      11.8     0.45094451    2.0        1.6
782.01    5.7     3.3     4.7      13.1     0.9449617     3.7     4.4       9.6     0.75402124    0.5        2.5
783.01    5.4     4.2     4.8      10.4    0.49614465     4.6     4.5       7.8     0.19865289    0.9        0.3
784.01    15.1   10.0     10.2     13.4    0.59368429     6.8     6.9      11.4     0.53113323    1.3        2.6
785.01    20.3   14.1     18.7     44.3    0.64129141    14.3     12.3     26.3     0.39268499    1.8        1.4
786.01    20.0   18.1     32.6     71.5    0.12654554    23.4     31.9     64.2      6.68E-05     2.0        0.2
787.01    17.5    9.8     13.2     23.0    0.98442658    11.9     12.5     26.5     0.75353018    2.0        1.0
787.02    24.0   18.0     31.4     94.5    0.61465712    18.7     28.3     90.4     0.38209942    2.3        1.0
788.01    9.9     5.9     5.5       7.0    0.69382383     4.5     4.5       5.8     0.52620281    1.0        1.0
790.01    19.2   11.5     14.3     32.4    0.86797079    10.7     13.6     26.1     0.82577381    1.1        0.4
791.01    3.4     1.3     3.7      34.3    0.98852926     1.8     3.6      33.5     0.73859464    0.9        0.2
794.01    30.2   21.9     35.9     82.3    0.78880299    19.6     35.8     80.6     0.93882363    0.8        0.4
795.01    11.0    6.6     12.5     24.0     0.9156746     5.1     11.9     27.4      0.9842977    0.3        1.5
797.01    3.8     3.9     4.8       8.6    0.10268556     3.6     4.5       8.5    0.071226725    1.6        0.3
799.01    9.7     7.1     13.8     69.5    0.85196716     6.9     13.8     69.2     0.88982764    0.7        0.5
800.01    19.7   11.7     22.5     52.7    0.99260018    11.9     22.1     46.1     0.98038661    0.6        1.8
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


800.02    23.7   10.6     47.7     183.6   0.99285361    17.5     46.1     170.2    0.45153898     2.6       5.0
801.01    1.9     1.3     1.9      13.8    0.97321865     1.3     1.9       13.9    0.92776199     0.3       0.3
802.01    1.1     0.8     0.8       1.4    0.53658852     0.7     0.7        1.1    0.28294623     1.2       1.0
804.01    16.4    6.8     10.0     23.1    0.99346819     4.4     9.4       19.7    0.99930454     0.2       1.9
805.01    2.6     0.3     1.7       4.2    0.99999979     0.5     1.7        4.2    0.99911779     0.3       0.3
806.03    25.6   35.4     28.0     52.5    0.017351992    8.0     9.6       20.9    0.73353516     3.4       1.3
809.01    1.2     0.6     1.2       2.9    0.99999425     0.8     1.1        3.0    0.97879622     2.0       0.0
810.01    13.2    9.1     14.9     28.7    0.81399704     9.2     14.4      34.2    0.69868204     1.9       0.1
811.01    8.2     3.8     7.5      12.3      0.896375     7.1     7.2       11.7     0.1203836     0.4       1.2
812.01    11.6    7.6     11.4     28.6    0.93093597     8.2     10.9      30.1    0.74320217     0.9       0.5
812.02    15.5   14.6     30.9     59.2    0.22815322    11.4     19.6      38.1    0.23884434     3.1       1.3
813.01    2.2     1.3     2.3       5.2    0.97088948     1.2     2.3        5.4    0.99294816     0.1       0.5




                                                                                                                      – 48 –
814.01    21.2   16.8     15.9     20.9    0.41237735    12.8     12.9      24.3    0.31380808     0.8       0.2
815.01    3.9     3.2     3.4       4.1    0.37591529     1.2     1.0        1.2    0.52197557     5.2       0.4
816.01    7.0     5.6     9.2      19.2    0.42632742     4.5     4.7        8.7    0.58206989     3.5       0.4
817.01    17.9   17.2     17.4     35.3    0.21658262    17.7     15.9      27.2   0.047082194     0.1       1.1
818.01    12.1    6.7     22.0     87.4    0.94575556    10.6     18.4      66.2    0.15475427     4.1       0.3
821.01    18.1   22.2     19.7     26.8    0.050703808   18.6     15.6      18.9   0.035593182     1.4       1.0
822.01    2.1     1.6     2.8       6.9    0.53811185     1.4     2.7        6.4     0.5594307     1.9       3.4
823.01    10.7    2.4     8.2      106.2         1        1.9     7.9      101.6         1         1.3       3.0
824.01    2.6     1.9     1.4       2.5    0.56079932     2.0     1.4        2.3    0.26762106     0.2       0.0
825.01    19.8    5.2     14.4     26.6    0.99997121     9.0     12.3      24.8     0.9641028     1.2       0.0
826.01    14.3    7.3     11.3     25.3    0.98827223     7.4     11.2      26.7     0.9684589     1.1       0.5
827.01    17.5    7.9     13.1     29.8    0.99763534     8.0     12.9      28.3    0.99178864     0.2       1.5
829.01    13.1    8.0     9.2      15.4    0.70816511     2.2     2.8        4.9    0.97290141     1.5       0.1
829.02    31.2   17.5     28.9     53.3    0.92028795    17.6     27.0      59.8    0.81791683     1.0       0.3
829.03    17.8   11.9     23.4     60.9    0.55094452     8.2     5.9       10.3    0.31853048    21.5       2.4
830.01    0.7     0.4     0.5       1.0    0.95214925     0.4     0.4        1.1    0.91514348     0.6       0.3
833.01    5.7     5.0     6.3      21.7    0.20264687     5.3     6.1       19.0   0.047852858     0.8       1.8
834.01    4.2     3.7     5.6       9.3    0.30438516     3.2     3.3        5.4    0.16628808     2.8       2.1
834.02    27.2   24.6     33.1     61.7    0.24789266    17.7     32.5      67.8    0.49936573     0.1       0.5
834.03    40.9   22.3     49.0     89.3    0.97891677    31.3     32.8      53.1    0.43296361     4.2       0.0
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


834.04    36.8   37.8     60.8     218.7   0.001481828   32.0     59.9     223.3    0.11786888    2.3        0.9
835.01    13.5    5.6     9.7      24.1    0.98249433     4.8     8.7       21.3    0.97066256    0.5        1.1
837.01    14.9    8.9     11.2     20.6    0.87471589     9.4     9.2       15.6    0.68125823    1.7        0.1
837.02    29.0   18.1     26.9     101.2   0.94496753    19.5     26.9     103.5    0.79512926    0.0        0.4
838.01    3.3     2.1     3.7      41.0    0.86709451     1.8     3.6       40.0    0.94742189    0.4        2.3
840.01    1.6     0.9     1.4       3.7    0.99311392     0.9     1.4        3.7    0.98775378    0.1        0.1
841.01    6.9     5.4     5.5      12.1    0.46017737     1.9     4.1       10.1    0.97276599    2.5        1.7
841.02    6.8     3.0     5.2       9.4    0.87702918     4.5     4.6        6.6    0.25179264    2.4        2.2
842.01    11.8    5.2     28.3     123.1    0.9738289    13.9     26.5     106.5   0.006747627    3.1        1.3
843.01    4.3     3.6     5.8      25.0    0.35676436     4.4     5.7       23.9   0.008037314    0.0        0.4
844.01    9.4     7.0     13.8     31.7    0.67524016    10.1     12.5      27.8   0.001731806    2.9        1.2
845.01    13.6   13.2     20.1     32.0    0.17602103    10.7     16.1      32.1    0.21064596    2.0        0.9




                                                                                                                      – 49 –
846.01    1.0     1.1     0.9       1.1    0.14548225     0.6     0.7        1.1    0.22902481    8.6        1.0
849.01    14.0    9.9     15.7     42.4     0.6481183     6.4     12.1      32.7    0.93168517    2.3        0.9
850.01    1.5     1.3     1.6       3.1    0.27325131     1.5     1.3        2.2   0.030547178    2.2        3.2
851.01    4.4     2.2     4.7      16.3    0.99769797     2.1     4.5       15.0    0.99712876    0.9        0.4
852.01    27.8   10.4     33.8     120.4   0.99999787    14.0     31.9     103.3    0.99634949    2.1        0.3
853.01    11.4   10.2     16.4     47.3    0.22643731    10.9     16.3      45.8   0.064849299    1.0        0.8
853.02    20.7   25.3     28.4     46.2    0.021565909   18.8     18.7      36.6    0.10484616    2.4        0.8
856.01    1.7     1.2     1.5       2.3     0.5180426     0.1     0.1        0.1    0.93374764    7.1        3.9
857.01    11.8    9.8     14.9     38.6    0.35392696     8.1     14.5      42.1     0.665613     0.1        0.8
858.01    3.0     2.4     2.2       9.5    0.45617672     2.4     2.1        9.3    0.21241668    0.4        0.5
861.01    28.9   15.4     25.5     114.9   0.99976382    20.9     24.2     114.3    0.74320075    1.3        2.0
863.01    14.8    7.8     19.1     49.1    0.99874082    10.9     17.4      44.3    0.63620462    2.6        0.7
864.01    13.4    6.8     16.1     31.6    0.98996915     9.7     15.0      29.6    0.54341325    1.3        1.8
864.02    23.3   13.1     21.1     41.1    0.73844404    15.9     20.1      35.9    0.23114582    0.3        0.8
864.03    20.0   13.9     18.2     27.9    0.64023548    16.6     17.3      29.9    0.19051429    1.1        1.1
867.01    7.3    11.2     12.2     17.2    0.000492991    9.6     9.2       14.4   0.001972779    2.0        2.8
869.01    17.7    8.4     14.9     31.2    0.98658117    11.8     13.9      24.5     0.6353122    1.1        0.6
870.01    21.8   11.0     14.5     39.4    0.98793459     3.6     10.1      32.3    0.99999999    1.6        0.1
870.02    18.2   16.0     19.8     31.3    0.26664385     9.5     14.2      29.5    0.87895246    2.3        1.0
871.01    1.5     0.3     0.4       1.7    0.99978449     0.4     0.3        1.7    0.97064687    0.1        0.0
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


872.01    2.3    19.1     23.9     35.7         0         7.3     9.4       14.7     1.78E-12     49.8       0.4
873.01    21.1   15.1     25.9     47.8    0.75507656    17.9     23.7      48.7    0.20252003     0.1       3.1
874.01    13.9   10.3     11.9     30.1    0.66935551     8.9     11.6      33.3    0.85593832     0.4       0.2
875.01    6.8     4.6     6.7      20.8    0.84949437     4.9     6.7       21.0    0.62329222     0.1       0.3
876.01    2.5     1.3     1.4       7.3    0.98858437     1.1     1.3        6.7    0.99391229     0.4       0.2
877.01    11.7    6.8     11.7     30.6    0.94759706     4.4     11.5      28.2    0.99887603     1.0       0.4
877.02    11.1    5.3     8.6      17.7    0.95551745     9.0     7.5       17.4    0.23544618     1.6       0.4
878.01    16.6   23.7     31.1     47.6    0.012379551   26.4     22.3      26.9   0.000367726     4.3       0.8
880.01    6.3     9.7     10.6     17.1    0.011829054    0.4     0.4        0.4    0.87922104    14.2       0.1
880.03    13.7    6.3     17.8     61.8    0.99685817     7.2     17.0      60.3    0.96364035     1.8       0.2
880.04    29.4   21.3     34.6     118.5   0.79728118    21.7     34.0     108.1    0.67520979     1.3       0.2
881.01    12.8    6.9     8.3      11.3     0.7678982     7.6     6.2       10.4    0.33087702     0.2       1.7




                                                                                                                      – 50 –
882.01    5.0     1.1     2.6       6.5         1         1.3     2.1        7.4         1         1.9       1.4
883.01    2.2     0.8     0.8       2.3         1         0.7     0.8        2.5         1         0.0       0.4
884.01    5.0     1.6     3.2       7.3    0.99911293     2.5     2.9        5.8    0.89613426     0.8       0.1
884.02    4.8    22.7     41.1     58.8         0         4.8     7.2       10.9   0.049741965    13.3       4.7
884.03    24.2   16.5     29.5     70.2    0.87374257    16.5     28.8      76.4    0.81593169     0.4       0.3
886.01    15.1    8.9     10.6     20.8    0.90693115     9.0     10.6      20.6    0.79199617     1.4       2.1
887.01    14.3    8.3     15.7     35.2     0.9187923     8.7     15.4      30.0    0.77837458     0.9       0.4
889.01    1.8     1.4     1.4       3.3    0.43198718     0.9     1.1        3.0    0.90521018     2.5       1.3
890.01    3.1     2.4     2.7       4.8    0.54533248     2.3     2.6        4.5    0.48151228     0.8       0.5
891.01    19.4   15.5     22.0     60.2    0.44769772    17.0     22.0      58.7     0.1548479     0.8       1.4
892.01    10.2    5.6     6.8      20.9    0.90509742     6.9     6.5       17.0    0.50944463     0.5       0.6
893.01    29.2   17.7     23.2     53.9    0.92967159    16.8     23.0      50.3    0.91906908     0.3       0.0
895.01    12.3    2.4     2.4       7.9         1         2.2     2.3        7.7         1         0.4       0.3
896.01    5.9     3.4     4.2       7.1    0.81179879     2.2     4.1        6.8    0.90359359     0.5       0.1
896.02    9.4     6.5     8.4      14.1    0.76152301     7.7     8.1       14.6    0.27424225     1.3       0.1
897.01    1.1     0.5     0.9       2.3    0.99999992     0.6     0.9        2.2    0.99937124     0.8       1.9
898.01    12.0   10.5     14.8     28.1    0.27431856     7.4     13.1      32.9     0.6848606     1.7       0.2
898.02    20.3   14.3     18.8     46.5    0.74967752    13.9     18.4      53.2    0.69776255     1.2       0.1
898.03    17.7   13.6     17.1     24.7    0.45927837     4.5     6.0       10.2    0.91893005     2.0       0.6
899.01    11.7   10.3     12.7     24.7     0.2549669     9.2     12.7      24.4    0.34136087     1.2       1.0
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


899.02    20.5   11.5     24.0     69.4    0.99565577    11.1     23.3      71.4    0.99535708    1.4        1.5
899.03    13.8    8.1     12.0     27.4    0.82571133     7.1     11.3      26.2    0.76724218    0.7        0.0
900.01    14.8    9.5     16.3     34.0     0.7374602     9.0     10.7      18.0    0.58949351    2.0        2.0
901.01    2.7     0.8     1.3       2.0    0.99857737     1.2     1.2        2.4    0.90710262    0.4        0.2
903.01    3.5     1.0     4.7      59.2    0.99999983     1.0     4.7       59.2    0.99999841    0.6        1.3
904.01    26.8   10.6     32.3     108.0         1       16.3     30.7      97.3    0.98942186    1.9        0.6
904.02    12.2    8.3     7.6      10.6    0.52990904     4.4     6.5       10.8    0.42980441    6.7        0.4
905.01    5.9     7.4     10.7     21.8    0.000400577    7.4     10.1      18.1   0.000112966    0.7        0.1
906.01    17.3   10.0     16.4     31.4    0.92874402    13.1     15.7      28.6    0.41384523    1.2        1.4
907.01    16.6   10.7     9.9      16.4     0.6858282     8.6     8.4       12.9     0.6450321    0.4        0.7
907.02    18.6   12.0     12.2     16.1    0.57954212     3.9     4.1        5.0    0.64544978    6.7        1.4
907.03    41.3   22.6     44.4     146.5   0.98848131    30.9     39.7     158.5    0.52482871    2.0        0.7




                                                                                                                      – 51 –
908.01    1.8     0.4     1.0       5.3          1        0.4     1.0        5.4         1        0.4        0.4
910.01    10.7    8.5     12.1     23.9    0.47811705     9.6     12.1      23.9    0.11674001    0.1        0.7
911.01    21.9   12.9     18.7     46.4    0.97646337    13.9     18.5      43.4    0.88133612    0.5        1.0
912.01    9.2     2.4     4.1       6.9    0.99946983     2.7     3.7        6.8    0.99082273    0.4        0.0
913.01    0.8     0.5     0.8       5.4    0.98204904     0.6     0.8        5.6    0.82566461    0.1        1.7
914.01    34.0   10.8     38.9     218.8   0.99999997    17.4     35.3     191.5    0.99530463    2.6        1.4
916.01    6.7     7.1     10.0     35.9    0.004529219    5.1     9.7       32.2    0.54719264    2.8        1.2
917.01    13.1    8.1     15.9     32.2    0.89468388    11.4     14.7      33.0    0.16434534    1.8        1.4
920.01    14.0   12.6     16.1     24.9    0.28188209     6.2     7.1        9.7    0.53662737    0.2        3.5
921.01    13.8   11.6     16.6     37.0    0.33603873     7.0     13.8      44.7    0.87538691    1.5        1.0
921.02    10.3    7.7     13.3     19.8    0.48886753     8.1     13.3      20.2     0.1776538    0.1        0.0
921.03    29.2   22.9     27.7     58.7    0.52268978    20.8     27.6      59.6    0.70181315    0.3        0.6
922.01    20.0    7.4     32.1     107.1   0.99994421    10.3     31.8     103.2    0.97667044    0.1        1.2
923.01    15.0    5.3     9.7      39.3    0.99995868     5.2     9.4       35.5    0.99986447    0.5        1.8
924.01    14.9   15.7     15.9     17.2    0.15619294    17.1     14.8      21.6   0.013134228    2.2        2.3
926.01    12.7    9.3     17.5     50.0     0.6866659    11.0     17.2      46.9    0.16646444    0.1        1.0
928.01    15.3   20.8     31.6     79.8      2.66E-10    15.1     24.8      59.7    0.00810768    7.7        2.1
929.01    2.7     3.0     2.6       4.7    0.023308282    2.8     2.5        5.2    0.03071683    0.2        0.3
931.01    1.3     1.1     1.1       4.0     0.4626938     1.0     1.1        3.9    0.50301808    0.0        1.1
934.01    11.2    6.3     12.6     37.3    0.96261984     9.7     12.3      35.7    0.16382857    1.0        0.1
Table 3—Continued

                               (EL 5,T2)                               (EL 2,T2)
                                                                                                 |∆ P | e   |∆ E| f
KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                               χ         MADa    WRMSb MAXc           p′2 d
                                                                                       χ          σP         σE
         (min)   (min)   (min)     (min)                 (min)   (min)     (min)


934.02    36.4    9.7     14.2     32.7    0.99941878     5.6     12.7      22.9    0.99985851    0.6        0.1
934.03    22.5   10.5     39.6     82.9    0.88928853    21.9     37.1      70.4   0.060086392    0.3        1.2
935.01    6.4     4.0     4.6       7.3    0.70140527     4.0     4.0        6.2    0.38894739    0.4        0.9
935.02    8.5     2.4     3.1       9.4    0.94525561     0.8     2.1        7.7    0.83685256    1.3        0.3
936.01    6.1     2.3     3.7      11.0    0.99650326     3.0     2.9        7.1    0.90276486    1.6        1.7
936.02    14.5    8.1     14.0     67.5    0.99999983     7.7     13.7      66.2    0.99999998    2.0        0.8
937.01    15.0    7.5     12.3     29.7    0.84981867     5.0     8.5       20.6    0.83059263    0.9        0.3
938.01    16.6   10.5     24.4     74.7    0.81254383     9.2     20.4      59.2    0.81106413    1.4        0.9
938.02    55.5   25.8     41.6     215.9   0.99996979    27.9     37.6     248.6    0.99940011    1.8        1.1
939.01    30.8   23.3     31.1     85.1    0.63760088    20.3     28.7      71.9    0.87350937    1.4        1.0
940.01    4.3     2.7     30.0     221.8   0.86454075     5.5     29.6     216.1     8.10E-05     1.9        4.6
941.01    6.1     2.4     4.2       8.1    0.99919409     1.3     4.1        7.9    0.99999833    0.1        0.2




                                                                                                                      – 52 –
941.02    17.9   10.0     19.2     62.9    0.99890792     9.1     18.1      53.2    0.99981743    2.3        0.3
941.03    5.9     8.4     6.2      12.4    0.012242093    5.4     4.7       11.2   0.075407927    0.1        0.3
942.01    10.7    8.3     17.8     56.2    0.47890711    10.5     13.6      34.0   0.053184752    3.6        0.9
943.01    15.5   11.8     19.7     40.7    0.59436884    12.8     18.8      37.9    0.27278827    2.3        1.6
944.01    6.2     5.2     6.6      15.0    0.29746397     4.7     6.5       15.1     0.5709972    0.6        0.0
945.01    29.7   19.3     21.1     40.0    0.61985651    23.3     20.3      30.3    0.14528133    0.7        0.4
945.02    20.4    4.5     21.6     33.6    0.97203183     5.5     8.9       15.7    0.56108234    7.6        1.0
947.01    7.5     5.4     4.8       8.1    0.52323328     5.9     4.7        8.1    0.14126285    0.3        3.3
949.01    12.5    8.4     8.9      16.8     0.6737156     6.5     6.4       10.6    0.74942419    0.7        0.6
951.01    5.0     2.1     4.1       7.0    0.98095214     2.4     4.0        7.7    0.85695829    0.8        1.2
952.01    11.0    5.9     12.2     26.1    0.97283853     8.2     10.5      20.8    0.45982427    1.7        0.2
952.02    12.5   12.2     17.2     31.4    0.10971322    12.4     14.2      26.1   0.045988832    1.8        1.1
952.03    11.2   12.8     22.7     61.6    0.066427078    7.2     16.6      44.5    0.35738618    3.1        0.9
952.04    37.9   25.1     43.7     196.9   0.93220755    25.8     43.3     200.8    0.85216154    1.1        0.5
953.01    5.9     3.6     6.1      20.1    0.95086863     3.4     6.0       20.6    0.95098951    0.1        0.7
954.01    14.5    9.5     26.0     79.6    0.78116457    10.6     20.6      51.5    0.43108222    4.4        0.4
954.02    14.7    2.6     5.8       9.1    0.98631622     1.2     1.4        2.0    0.86368129    3.0        0.9
955.01    20.0    9.2     19.4     51.6    0.99246425    10.3     17.8      45.9    0.93588537    1.1        1.0
956.01    6.5     3.4     5.5      10.4    0.95822764     3.2     5.4       11.5    0.93240384    0.2        1.3
960.01    0.7     0.6     0.8       1.3    0.37674328     0.5     0.6        1.6    0.32588536    2.5        0.1
Table 3—Continued

                                  (EL 5,T2)                                    (EL 2,T2)
                                                                                                           |∆ P | e   |∆ E| f
 KOI       σT T   MADa      WRMSb      MAXc         p′2 d
                                                     χ         MADa      WRMSb      MAXc        p′2 d
                                                                                                 χ          σP         σE
          (min)   (min)     (min)      (min)                   (min)     (min)      (min)


961.01     7.9       4.0       8.8       40.8     0.99999999      4.1      8.7       41.8     0.99999976     6.9      12.7
972.01     2.6       4.1       3.3        4.7    0.000469826      2.3      2.7       5.2      0.10081544     1.4       2.2
975.01    19.8       9.1      21.0      108.6     0.99998368      9.4     20.8      111.9     0.99989883     0.5       0.3
977.01    41.6     151.4    2,067.1    3,096.0         0        366.8     387.3     957.9          0       222.2      121.1
981.01    103.8     54.5      92.5      232.2     0.9965663      50.7     77.8      276.4     0.99752774     2.4       8.1
984.01    291.0   1,026.8   1,460.0   21,420.5         0       1,053.0    837.9    3,072.4         0       251.3      184.8
986.01    18.6      11.0      14.8       31.3     0.90617149      7.8     13.1       26.9     0.98533582     1.4       0.5
987.01    21.8       8.4      13.0       54.6     0.99999948      8.4     12.2       54.3     0.99999817     0.0       0.2
988.01    21.8      15.0      22.5       63.1     0.71160084     22.9     21.6       62.7    0.022471457     0.8       0.7
991.01    14.5       5.5       7.4       16.3     0.99412848      5.0      7.4       17.1     0.98435225     0.1       0.0
992.01    45.1      18.3      69.9      164.0     0.99480954     19.7     69.0      160.3     0.96413767     0.6       0.6
993.01    23.1       5.0       7.5       14.2     0.99610865      3.3      7.0       13.5     0.98399636     0.3       0.5




                                                                                                                                – 53 –
999.01    20.9      17.9      19.7       46.7     0.32606594      7.4     10.0       28.0     0.9281686      2.8       1.9
1001.01   52.1      56.7     222.4      569.9    0.072391402    129.8     179.1     395.0      2.45E-13      4.3       4.1
1002.01   17.3      17.1      28.9       62.7    0.023430107     17.6     28.7       65.4    0.006461492     0.2       0.5
1003.01    8.3       2.8     178.6      973.6     0.99771024     46.0     166.9     853.7          0        21.0      16.4
1013.01   13.4       7.0      12.7       74.3          1          7.0     12.7       74.9          1         0.2       2.2
1014.01   14.3       2.8       5.3       13.9     0.99966073      3.6      5.1       13.1     0.9821248      0.3       0.1
1015.01   15.7       5.9      11.5       18.6     0.87877807      1.2      1.7       2.6      0.86879269    35.0       0.0
1015.02   36.7      17.8      43.5       87.4     0.93670349     25.0     41.7      108.6     0.44045963     0.9       0.6
1017.01   18.1       8.9      13.4       23.0     0.91523524      9.4     12.2       19.2     0.70422167     0.2       0.6
1019.01   41.1      45.3      80.5      215.4    0.000175146     45.8     77.9      202.1      4.64E-05      1.8       1.6
1022.01   32.5      20.2      18.9       35.8     0.65607089     17.6     17.7       34.3     0.39804116     0.3       1.3
1024.01   12.8       7.4      14.1       51.7     0.9563353       8.8     12.8       49.7     0.66141307     2.1       0.8
1030.01   28.5      34.0      42.5      119.1    0.010152508     30.3     41.7      119.6    0.020439739     0.5       1.1
1031.01   67.8       8.0      78.0      253.7     0.99999774     31.9     73.6      211.2     0.83557534     1.0       0.3
1050.01   13.4      10.9      17.3       60.6     0.38977527     10.5     17.3       60.2     0.49837828     0.5       0.3
1051.01   24.1      11.8      28.0       84.6     0.98968273     12.8     27.2       78.1     0.9410789      0.9       0.0
1052.01   25.0      11.4      26.3       70.4     0.94362972     14.0     26.1       67.9     0.63424054     0.1       0.3
1053.01   31.0      20.4      40.8      213.2     0.99209744     21.7     40.7      210.9     0.9388723      0.0       0.1
1054.01   34.0      70.6     116.7      310.7          0         52.4     112.9     290.1      7.70E-14      5.6       0.2
1059.01   17.6      17.6      27.9       75.1      7.11E-05      20.0     27.4       82.4      2.08E-10      2.2       0.7
Table 3—Continued

                                (EL 5,T2)                               (EL 2,T2)
                                                                                                  |∆ P | e   |∆ E| f
 KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                                χ         MADa    WRMSb MAXc           p′2 d
                                                                                        χ          σP         σE
          (min)   (min)   (min)     (min)                 (min)   (min)     (min)


1060.01   32.8    11.3     23.9      56.4    0.99718189   13.7     21.7      48.8    0.94924986     1.0       0.1
1060.02   64.8    33.2     65.7     148.5    0.99575624   23.9     53.2     197.9    0.99994638     2.2       1.7
1061.01   22.5     9.4     21.8      35.9    0.84583519   7.0       9.0      12.1    0.49919026     7.8       0.1
1072.01   26.8     2.9      8.8      18.8    0.99656873   5.1       7.1      13.7    0.67857763     2.0       0.4
1078.01   12.7    11.4     22.3     103.7     0.1426801   9.5      20.5      86.0    0.56809706     3.3       1.8
1081.01   27.7    24.7     29.1      45.7    0.23648349   21.8     23.5      48.2    0.31674943     0.7       2.4
1082.01   30.3    24.2     49.1     126.6    0.45731276   17.9     47.0     110.4    0.87633869     2.1       0.1
1083.01   31.8    31.7     57.2     153.9   0.076188945   30.9     52.2     115.9   0.051879022     2.0       1.6
1085.01   41.1    16.7     45.7     129.4    0.99865253   19.1     45.0     123.5    0.97928412     0.5       0.4
1086.01   22.3     8.1     13.1      23.6    0.95966173   8.2      12.7      21.5    0.78415897     1.0       1.0
1089.02    7.2     5.4      6.0      10.3    0.56254226   4.6       5.4      10.1    0.61369922     1.4       3.6
1094.01   38.2    11.9     23.8      57.9    0.99999528   10.5     23.1      61.2    0.9999953      0.7       1.1




                                                                                                                       – 54 –
1101.01   64.9    27.6     49.2     176.7    0.99999827   21.4     48.6     186.0         1         0.7       0.4
1102.01   23.2    25.1     25.7      38.4   0.048355313   24.6     23.9      41.0   0.023701609     1.5       0.8
1102.02   276.2   25.2     51.1     106.3         1       26.3     39.5      76.2         1         0.1       1.0
1106.01   152.1   43.2     50.0      92.4    0.97284525   55.5     46.5      62.7    0.65769158     0.3       0.1
1108.01   23.5    17.8     38.4      90.3    0.54584529   23.1     33.8      70.2   0.053392324     0.6       1.9
1109.01   80.3    45.9     136.5    359.1    0.94779566   84.9     105.3    239.5    0.01234075     2.4       3.3
1110.01   35.9    36.3     48.8     100.4   0.069679642   40.1     47.8      90.7   0.006608499     0.9       1.7
1111.01   36.7    37.1     76.3     198.5   0.091546194   64.5     72.3     158.8     2.47E-08      1.6       0.7
1112.01   27.9    45.7     40.1      53.8    0.00553938   0.8       0.9      1.1     0.9500977     15.3       0.3
1113.01   28.0     6.6     18.9      25.0    0.99442486   9.4      10.1      23.2    0.8294393      1.2       0.1
1114.01   24.6    22.9     28.8      81.6    0.15197341   26.4     28.6      78.2   0.011764248     0.1       0.5
1115.01   37.2    14.9     39.8     103.8    0.99071283   23.2     36.1      79.1    0.63405046     1.4       0.1
1116.01   19.4     9.2     24.6      83.1     0.9996574   10.5     22.9      92.5    0.98946239     0.2       1.3
1117.01   29.4     8.9     18.9      49.2    0.99909185   12.3     15.1      28.6    0.9490812      1.1       0.4
1118.01   26.1    12.2     18.4      44.4    0.99050138   11.9     16.4      37.9    0.97759697     1.1       1.1
1128.01   12.0    12.2     20.4      70.5   0.001411978   12.7     20.3      73.4   0.000121867     1.1       1.3
1129.01   21.9    15.5     27.0      61.6    0.75324019   14.5     26.6      57.7    0.78242908     0.6       0.0
1141.01   31.6    36.3     50.6      93.3   0.002225982   32.1     49.5     102.6   0.016967135     1.6       0.0
1144.01   39.9    23.4     62.4     203.8    0.99610441   26.1     57.8     170.0    0.93618545     3.7       0.4
1145.01   18.7    19.3     21.7      32.3    0.15424175   3.9       3.3      5.3     0.87390256     2.1       2.8
Table 3—Continued

                                (EL 5,T2)                                (EL 2,T2)
                                                                                                   |∆ P | e   |∆ E| f
 KOI       σT T   MADa    WRMSb     MAXc        p′2 d
                                                 χ         MADa    WRMSb MAXc           p′2 d
                                                                                         χ          σP         σE
          (min)   (min)   (min)     (min)                  (min)   (min)     (min)


1146.01   22.4    27.4      34.7     76.5    0.001077701   26.3     29.8     60.9    0.001081326     0.0       0.7
1148.01   35.3    19.8      42.1    113.1     0.90771639   12.6     30.5     75.8    0.98768263      2.5       0.8
1150.01   93.1    71.9      73.6    167.9     0.50098584   53.3     70.0     148.8   0.77275173      0.8       1.4
1151.01   37.0    32.7      43.1    181.3     0.20747804   29.7     42.0     180.2   0.32722545      1.2       1.6
1151.02   34.5    21.3      34.7     69.7     0.88780763   26.9     34.2     62.6    0.35495599      0.2       0.1
1152.01    2.9     1.2      1.4       3.0     0.99827076    1.4      1.4      2.7    0.97423442      0.2       0.5
1160.01   22.2    13.1      15.5     21.4     0.81972107    8.9      9.2     21.4    0.91987838      0.0       1.4
1161.01   29.1    21.4      39.8    103.1     0.6589125    24.6     39.0     95.0     0.2113547      0.0       1.5
1163.01   23.0    16.7      41.1    168.4     0.77497441   14.2     40.4     165.5   0.95942781      1.0       0.9
1163.02   28.4    21.0      44.5     72.1     0.59822318   19.5     43.3     71.7     0.5655128      1.0       0.8
1164.01   51.7    26.6      72.4    326.9     0.99978456   29.4     72.0     318.5   0.99463937      0.1       0.6
1165.01   11.5     3.1      10.5     24.8     0.9999989     6.3      9.4     23.4    0.93196403      1.8       0.2




                                                                                                                        – 55 –
1166.01   16.5     9.9      13.8     34.4     0.91533237   10.5     12.9     32.8    0.76767366      1.1       0.2
1169.01   108.7   16.7     119.4   3,714.8         1       15.8     42.9     250.4         1         1.1       7.2
1170.01   12.3     7.4      17.2     42.5     0.90834005    9.7     16.3     33.3    0.33378302      1.4       0.8
1175.01   52.0    47.5      39.6     54.4     0.26309111   25.0     31.9     65.4    0.48439615      0.8       0.8
1176.01    1.3     0.5      1.1      12.9     0.99999999    0.6      1.0     13.0    0.99930912      1.2       0.5
1177.01   19.6    11.0      11.5     46.5     0.98468516    3.4      6.4     55.9          1         3.0       1.8
1187.01    4.1     2.7      4.2      20.1     0.99999899    2.5      4.2     19.7    0.99999999      1.5       1.3
1198.01   32.9    27.7      41.9     88.7     0.34592401   34.3     41.3     90.9    0.033758685     0.7       0.0
1198.02   49.8    14.7      70.9    186.4     0.99978734   32.3     64.7     160.0   0.63579198      2.1       0.5
1199.01   11.9    23.9      27.1     39.0    0.000290474   12.1     18.8     30.5    0.027895914    10.5       0.9
1201.01   15.2    14.2      24.7     58.2    0.052342173   16.2     23.7     50.8    0.000608547     3.0       0.1
1202.01   28.3    19.1      34.7    118.9     0.99298494   19.1     34.7     117.6   0.99018312      0.3       0.5
1203.01   23.9    17.6      16.0     22.3     0.48977279   12.0     11.5     15.5    0.45099686      0.8       0.2
1203.02   28.3     9.1      41.4    165.5     0.99729035   24.2     37.1     130.1   0.17103525      2.1       0.0
1204.01   58.6    46.2      79.1    159.3     0.47765338   45.9     72.1     139.0   0.33946859      1.4       1.5
1205.01   37.3     8.7      25.3     61.8     0.99998337   11.4     23.1     47.9    0.99793491      0.9       0.7
1207.01   17.9    22.8      36.4     85.8    0.008785765   14.3     25.2     55.6    0.23609623      3.1       2.5
1210.01   35.0     7.3      16.7     30.7     0.99992736    5.4     16.5     34.1      0.999857      0.2       0.0
1212.01   38.4    26.8      30.7     46.0     0.66031745   14.6     25.5     67.3    0.97109998      0.9       0.7
1214.01   63.2    34.5      69.4    138.5     0.99233623   40.5     68.2     159.5   0.87409998      0.9       0.5
Table 3—Continued

                                (EL 5,T2)                               (EL 2,T2)
                                                                                                  |∆ P | e   |∆ E| f
 KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                                χ         MADa    WRMSb MAXc           p′2 d
                                                                                        χ          σP         σE
          (min)   (min)   (min)     (min)                 (min)   (min)     (min)


1215.01    22.2   19.9     41.5      78.0    0.27001188   17.4     16.2      23.6    0.23837475     2.0       3.2
1215.02    22.5   25.8     24.7      35.6   0.082801771   8.1       6.6      9.7     0.66376272     2.0       1.5
1216.01    28.1   29.0     34.8      63.2   0.073588894   21.6     34.2      57.9    0.33348048     0.2       0.9
1218.01    15.5    8.3      9.0      12.2    0.81629029   4.1       7.1      13.7    0.90676342     0.6       0.2
1219.01    76.1   34.9     78.5     174.4    0.99993476   37.0     67.1     173.7    0.99930653     3.4       2.0
1220.01    25.3   24.3     38.7     102.8     0.1005205   23.5     35.2      88.6    0.08235055     1.8       0.7
1221.01    25.2   27.2     23.0      28.1    0.13802028   3.5       3.9      5.8     0.76471209     7.5       0.3
1221.02    40.9    4.3      3.8       4.7    0.99679328   0.7       0.8      1.4     0.97222484     0.1       0.2
1222.01    34.3   22.6     71.9     163.1    0.89177319   33.7     69.3     145.0   0.023690682     0.0       0.7
1227.01     7.3    1.6      8.1      67.0         1       2.4       7.9      63.7         1         3.3       0.5
1236.01    12.2   17.0     18.0      30.6    0.02732072   1.0       0.9      1.0     0.86034733    19.7       0.8
1236.02    26.0   47.5     104.7    486.4     7.49E-13    52.3     98.8     443.3         0         5.2       0.6




                                                                                                                       – 56 –
1238.01    19.7   10.4     11.6      17.2    0.78199133   7.1       6.3      10.3    0.6620329      0.8       0.3
1240.01    25.3   14.0     31.2     117.4     0.9996427   12.7     31.0     117.4    0.99996625     1.0       1.2
1241.01    20.9   33.3     61.5      91.1   0.001310734   29.2     41.7      67.1   0.001617233     3.1       2.2
1241.02    43.8   48.1     164.9    479.6   0.034972298   73.2     144.5    386.0     2.18E-07      4.2       3.7
1244.01    20.9    5.6     27.4      82.4    0.99984058   10.7     17.4      53.2    0.87335347     2.6       1.7
1245.01    25.4   13.6     24.5      44.0    0.87207098   14.5     23.2      54.8    0.61002098     0.5       0.5
1246.01    22.1    8.9     14.3      30.3    0.93803501   7.7       9.0      18.2    0.81109797     1.2       1.4
1258.01     7.0    8.1      7.4       9.9    0.10126764   0.5       0.6      0.9     0.87524615    12.4       0.6
1264.01    18.0   10.5     15.1      27.8    0.85381378   9.4      13.3      30.6    0.80018945     1.2       0.2
1266.01    17.4    6.7     13.7      42.1    0.99312423   9.2      13.1      39.9    0.81889255     0.2       0.6
1270.01     8.4    9.5     11.3      25.0   0.004627814   10.3     11.0      23.5   0.000192562     0.7       0.6
1273.01    11.2    2.8      2.8       2.9    0.96073183   1.2       1.3      2.6     0.81032845     2.0       0.1
1276.01    18.4    6.0     12.7      25.8    0.98528902   9.2      12.3      24.9    0.67201872     0.3       0.1
1278.01    41.7   22.7     42.0      75.9    0.89854265   32.8     35.5      47.9    0.2724472      0.3       1.0
1278.02    20.2   21.7     17.3      27.2    0.14084354   8.5       7.4      11.5    0.36173625     6.4       1.4
1279.01    16.5    7.8      9.3      15.0    0.94688877   6.4       8.2      13.2    0.92909687     0.4       0.4
1281.01    13.2    5.6      6.2       7.8     0.8387711   1.5       1.2      1.5     0.80534892     1.0       0.9
1282.01    15.9   16.1     31.3      73.4    0.17156305   17.4     14.2      21.2   0.023700682     2.6       2.1
1283.01    46.2   21.4     33.7     157.5    0.99148808   20.6     29.8     172.3    0.9813829      0.7       1.5
1285.01    12.3    4.5      7.7      68.2         1       1.8       6.2      67.7         1         2.7       4.0
Table 3—Continued

                                (EL 5,T2)                               (EL 2,T2)
                                                                                                  |∆ P | e   |∆ E| f
 KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                                χ         MADa    WRMSb MAXc           p′2 d
                                                                                        χ          σP         σE
          (min)   (min)   (min)     (min)                 (min)   (min)     (min)


1298.01     9.8   10.2     11.3      17.4   0.084443755   11.3     11.0      16.6   0.009093844    1.1        1.3
1300.01    11.6    6.6     12.7      47.3         1       6.6      12.6      48.1         1        1.3        0.6
1301.01    21.7    6.7     23.6      34.2    0.98931179   13.4     14.1      19.8    0.46233326    1.0        1.7
1303.01    37.0   25.1     21.1      40.8    0.57704676   13.5     16.3      37.7    0.65608775    0.5        0.7
1304.01    36.8   16.7     33.3      99.1     0.9994596   17.4     32.9      96.8    0.99668469    0.4        0.1
1305.01    31.2   13.3     38.7     182.4    0.99999915   13.9     37.9     182.6    0.99998788    0.9        1.5
1306.01    24.8   23.7     32.3     139.4   0.013388426   23.9     32.0     142.1   0.005635702    1.1        0.9
1306.02    31.9   20.5     38.6     115.0    0.94575557   14.6     36.8     110.9    0.99980828    1.8        0.4
1306.03    43.6   38.1     57.2     131.5    0.23506952   29.5     54.0     103.6    0.71737885    1.5        0.8
1307.02    11.9    9.0     10.4      17.1    0.50083748   11.5      9.9      16.3   0.066306191    0.2        0.0
1308.01    18.5   15.1     28.8      78.1    0.39025884   13.1     21.2      43.3    0.26959394    3.2        2.3
1309.01    19.5   13.8     23.2      52.7    0.64967349   14.6     19.3      36.8    0.37875661    2.1        1.0




                                                                                                                       – 57 –
1310.01    21.1    4.5      7.2      16.9    0.99944466   6.3       5.8      9.6     0.96444514    0.6        1.0
1312.01    23.2   21.0     42.0     113.1    0.18153892   22.6     40.9     104.3   0.041390048    1.1        1.9
1314.01    42.8   32.9     49.1      92.6    0.51644668   33.6     48.5      95.9    0.31467237    0.6        0.0
1315.01    22.9   14.8     37.0      79.6    0.85050583   18.7     36.8      82.1    0.27590341    0.3        0.1
1316.01    55.7   15.0     48.1     132.3    0.99998998   24.5     40.5     117.0    0.98374822    1.4        1.3
1325.01     5.8    3.2      3.9       9.6    0.93273003   2.4       3.9      8.9     0.97757025    0.2        0.2
1329.01    18.7    8.4      8.5      13.3    0.86924112   11.2      6.6      14.9    0.32623027    0.4        0.6
1336.01    25.8   26.0     44.5      94.1   0.093937533   21.1     42.3      85.9    0.23959658    1.8        0.2
1337.01    39.5   21.3     40.1     149.6    0.99990112   24.6     39.5     153.7    0.98792174    1.2        0.7
1338.01    36.8   23.4     38.4     101.2    0.92147606   25.5     33.6      68.6    0.71758708    2.1        1.8
1339.01    47.4   21.5     40.4      96.2    0.99973805   25.6     40.0     100.8    0.98517417    1.2        1.9
1341.01    54.6   16.3     18.6      28.1    0.99922215   18.2     16.4      33.4    0.98757075    0.3        0.9
1342.01    39.7   20.3     33.8      82.3    0.99850081   16.5     33.3      79.0    0.99993594    0.4        1.4
1344.01    26.5   29.0     38.3      66.5   0.004089481   32.3     35.5      67.4     5.05E-05     2.7        1.1
1355.01     8.1    4.7     10.3      13.1    0.66939359   5.1       4.2      10.5    0.1761757     6.9        2.3
1360.01    12.8    7.0     10.3      12.7    0.70043786   4.1       5.4      12.0    0.48562155    5.3        0.8
1360.02    19.1   13.9     14.3      27.9    0.58031538   12.4     12.6      25.8    0.5027724     1.2        0.3
1363.01    36.4   14.7     37.0     100.0    0.99999568   18.5     36.3      93.4    0.99761271    0.1        1.2
1364.01    22.1   15.5     19.8      30.0    0.54520542   17.2     15.0      18.5    0.15033554    0.4        1.5
1364.02    22.7   14.1     20.8      46.5     0.7938846   17.3     19.6      40.4    0.31562962    0.0        1.7
Table 3—Continued

                                (EL 5,T2)                               (EL 2,T2)
                                                                                                  |∆ P | e   |∆ E| f
 KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                                χ         MADa    WRMSb MAXc           p′2 d
                                                                                        χ          σP         σE
          (min)   (min)   (min)     (min)                 (min)   (min)     (min)


1366.01    17.7    8.0     22.3      36.5    0.90061336   3.8      10.3      29.1    0.94948735    2.1        4.2
1367.01    38.3   11.7     26.1     138.4         1       11.7     26.0     137.2         1        0.6        1.7
1369.01    26.7   18.8     30.7      70.7    0.83549698   19.9     29.8      79.2    0.60114974    1.5        0.3
1370.01    32.8   11.6     26.5      76.8    0.99984486   10.8     26.5      79.2    0.99968366    0.1        0.1
1376.01    15.4   15.1     25.0      62.9    0.11293887   14.1     24.8      58.1    0.10794717    0.7        0.1
1377.01    40.9   30.2     43.6     105.7    0.57263574   28.5     43.5     102.0    0.47310142    0.2        0.0
1378.01    17.8   18.0     16.5      34.7    0.12407712   6.2      13.1      39.3    0.93281771    1.0        1.1
1379.01    23.2   15.7     19.0      48.2    0.82453493   12.8     18.8      49.1    0.95346987    0.3        0.8
1382.01     4.0    2.2      4.0     113.1    0.97448277   1.7       3.8     113.7    0.99739944    0.5        0.8
1385.01     1.6    0.5      0.6       1.7     0.9921217   0.5       0.5      1.3     0.94348082    0.6        1.0
1387.01     1.3    1.0      0.6       2.2    0.44876699   1.1       0.4      1.6     0.11903893    1.0        2.9
1391.01     6.3    2.1     15.6      57.3    0.99975404   5.4      14.5      46.8    0.18392874    3.2        1.7




                                                                                                                       – 58 –
1395.01    17.5    6.8     11.9      23.7    0.99650671   5.3      10.3      24.2    0.99793741    0.9        0.5
1396.01    21.7   12.1     24.5      64.8    0.92096394   10.0     22.4      48.1    0.9456261     1.0        1.2
1396.02    41.4   51.1     53.8     181.9   0.000260834   54.3     53.7     178.2     8.94E-06     0.4        0.5
1401.01    23.5   13.4     28.2     179.7         1       13.4     28.2     179.2         1        1.1        2.5
1402.01    41.4   19.3     29.1      73.1    0.99295373   24.4     25.0      58.2    0.84653496    0.0        1.0
1403.01    18.4    9.1     11.8      18.8    0.91446618   8.3       9.5      15.5    0.81785662    0.1        0.4
1404.01    43.8   15.9     35.2      97.2    0.99979129   13.3     34.5      90.1    0.99988573    0.7        0.4
1405.01    31.0   29.3     39.7      68.6    0.19955106   15.1     32.3      71.2    0.75932624    2.0        0.7
1406.01    18.2    9.5     13.4      24.2    0.93522628   8.4      11.3      20.6    0.91044509    1.1        0.5
1408.01    24.7   19.0     31.3      65.5    0.48925805   32.2     29.8      55.4   0.001559721    1.2        0.8
1409.01    15.8   23.6     25.3      49.7    0.00183048   19.7     25.1      52.9   0.005244895    0.7        0.9
1410.01    52.6   11.1     29.5      61.5    0.99654845   14.9     26.1      55.7    0.88906889    0.6        2.2
1412.01    17.0    7.1      8.8      14.8    0.89600208   4.2       4.2      5.1     0.82694108    0.9        0.4
1413.01    40.8   44.6     61.6     117.2   0.043097254   50.5     46.9      72.9   0.002254188    3.1        0.2
1419.01     6.7    4.6      8.4      30.9     0.9483493   4.2       8.2      32.9    0.9877565     1.1        2.3
1422.01    14.4   14.4     17.6      38.2    0.05528909   14.5     17.5      37.5   0.024902249    0.3        0.4
1422.02    13.1   11.3     12.0      23.0    0.31615562   11.0     11.3      17.7    0.17748545    0.8        0.7
1422.03    23.5   21.8     48.8     116.2    0.08912444   25.0     46.2      98.2   0.001881282    3.9        0.0
1424.01    16.2   10.7     20.9      79.1     0.9918561   11.1     20.9      79.9    0.96060053    1.0        1.0
1425.01    95.7   18.1     40.7     168.3         1       21.1     39.4     163.3         1        0.0        1.0
Table 3—Continued

                                (EL 5,T2)                               (EL 2,T2)
                                                                                                  |∆ P | e   |∆ E| f
 KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                                χ         MADa    WRMSb MAXc           p′2 d
                                                                                        χ          σP         σE
          (min)   (min)   (min)     (min)                 (min)   (min)     (min)


1426.01     8.7   10.9      8.6      11.0   0.061191962   2.9       2.5      3.0     0.47294199    1.8        1.6
1427.01    33.4   16.5     25.3     108.6    0.99995148   13.9     25.0     105.0    0.99999922    0.7        0.4
1428.01    11.7    7.8     18.6      73.6     0.9961766   7.3      18.5      76.7    0.99959056    1.1        0.5
1430.01    15.7    8.9     10.8      20.4    0.91611485   7.7       7.7      18.1    0.91892787    0.8        1.7
1432.01    24.0   19.1     36.9     112.6    0.46486464   13.7     34.5     101.0    0.89151781    1.0        1.6
1433.01    28.7    9.1      9.1      17.5    0.98787147   5.1       7.3      15.6    0.99026624    0.3        0.5
1434.01    42.3   21.4     35.6     214.6         1       18.8     36.4     214.6    0.99999135    0.1        0.7
1435.01    20.3   14.9     20.0      33.0    0.46832162   14.9     15.8      24.4    0.11098411    2.7        1.2
1436.01    33.5   16.4     35.7     115.1    0.99995807   18.0     35.4     107.1    0.99886085    0.9        0.2
1437.01    39.8   28.4     50.0     147.0    0.68378657   35.1     48.7     142.2    0.14289436    0.8        0.4
1438.01    31.5   28.3     44.1     103.9    0.19881381   20.9     43.6     105.4    0.71446002    0.8        0.3
1440.01    35.0    8.8     30.4      84.7    0.99999913   13.2     27.3      75.6    0.99835626    0.9        0.6




                                                                                                                       – 59 –
1441.01    30.8   15.0     26.0      76.9    0.98179398   10.6     25.6      74.4    0.99762786    0.6        0.1
1442.01    36.1   14.7     26.8      96.8         1       14.6     26.6      99.0         1        0.1        0.9
1444.01    21.6   14.7     15.7      26.6    0.53517523   18.5     15.2      18.9   0.062139722    1.4        0.2
1445.01    28.0   23.2     38.4      86.5    0.37009244   27.8     32.1      67.3   0.033973525    2.8        1.8
1448.01     9.8    2.3     21.0     339.1         1       3.8      20.8     334.6    0.99999994    2.3        0.9
1452.01    13.4    5.1     20.1     274.1         1       5.2      19.9     278.9         1        2.8        1.0
1459.01     4.9    2.6      5.2      55.9         1       2.5       5.2      56.1         1        0.6        0.2
1465.01     6.6   32.0     26.4      67.5         0       31.1     25.8      74.1         0        0.4        4.4
1468.01    12.6   17.9     26.4      58.8     3.00E-05    16.9     24.4      62.8     6.26E-05     2.3        1.7
1475.02    34.1   17.3     44.6      98.1     0.919274    19.4     43.8      91.2    0.66700742    0.1        0.4
1480.01    11.7    5.2     13.1      24.4    0.90217539   8.7      12.9      22.2    0.22786583    0.4        0.1
1486.02    24.0    2.9      8.4      28.0    0.99896616   6.0       7.8      24.1    0.82060871    0.2        0.2
1488.01    12.9   11.2     16.7      45.1    0.23804645   9.9      15.6      41.5    0.47404195    2.4        0.7
1489.01    17.7   10.9     10.0      21.9    0.78069525   8.8       9.5      16.6    0.79350678    0.5        0.1
1494.01    26.5   16.2     29.2      42.0    0.67115605   10.6     10.6      22.4    0.60109128    2.1        1.2
1495.01    21.2    8.3      9.6      16.3    0.96218565   5.3       5.1      6.9     0.96423943    0.8        0.5
1498.01    34.1   20.4     33.3      89.2    0.94106756   22.4     27.1      66.8    0.76142647    2.6        0.1
1499.01    10.3    5.1     10.5      18.5     0.9095181   4.5       9.5      17.6    0.83888061    1.0        0.2
1502.01    17.4   12.5     25.9      74.6    0.85632427   12.9     25.9      76.4    0.70374294    0.1        1.0
1505.01    29.7   21.6     31.9      93.3    0.68926517   22.6     30.8      89.4    0.46064732    1.0        0.4
Table 3—Continued

                                (EL 5,T2)                               (EL 2,T2)
                                                                                                  |∆ P | e   |∆ E| f
 KOI       σT T   MADa    WRMSb MAXc           p′2 d
                                                χ         MADa    WRMSb MAXc           p′2 d
                                                                                        χ          σP         σE
          (min)   (min)   (min)     (min)                 (min)   (min)     (min)


1506.01    15.0    8.9      7.4       9.6    0.65074879   0.5       0.6      0.8     0.94209465     4.3       0.0
1507.01    34.0   36.3     41.8      80.7   0.097771858   35.7     37.7      68.5   0.034698826     1.2       0.7
1508.01    21.8   14.1     52.4     112.9    0.68650258   30.7     30.2      43.5   0.000921422     4.5       0.2
1510.01    17.7   12.6     17.8      82.8    0.93369868   12.6     17.7      81.4    0.91372515     1.5       0.5
1511.01    23.0   13.1     25.7     151.1    0.99733402   16.4     23.4     158.6    0.77744038     2.2       1.5
1512.01    15.3   13.2     41.4     131.3    0.30069959   23.9     37.8     102.5     6.52E-07      4.1       0.6
1515.01    20.6   18.9     30.5     107.4   0.047233567   15.8     29.6     105.6    0.57034058     2.7       0.5
1516.01    23.8   19.0     50.8     113.9    0.42254884   32.2     45.9      95.3   0.001757162     1.9       1.0
1517.01     9.5    5.8      8.3      14.0    0.63295483   4.9       5.5      6.9     0.25960988     7.2       0.2
1518.01    25.9   20.9     14.7      20.9    0.39524792   13.8     10.9      25.4    0.41189278     0.2       0.8
1519.01    39.8   18.3     31.9      69.8     0.9993126   15.1     31.5      73.8    0.99990987     0.6       0.0
1520.01    14.4   18.8     14.6      20.0   0.013398347   18.1     14.5      20.0   0.004869325     0.1       0.2




                                                                                                                       – 60 –
1521.01    19.0   25.3     22.0      28.2   0.039524241   14.4     15.6      23.0    0.10004854    10.1       0.5
1522.01    14.7    5.4      9.8      15.1    0.88537977   1.2       1.4      2.0     0.85650939     4.2       0.6
1523.01    37.6   47.4     82.4     150.5   0.001107588   41.2     75.8     148.9   0.008131062     1.9       1.4
1525.01    26.2   12.5     71.0     277.0    0.99279178   21.5     68.5     248.9    0.26728463     3.0       0.3
1526.01    46.3   25.6     31.0      78.1    0.98793914   28.2     30.9      81.0    0.91593186     0.0       0.1
1528.01    23.5    9.2     17.7      40.8    0.99999344   8.5      16.6      45.7    0.99999593     0.2       0.4
1529.01    20.9   20.1     35.3      70.5    0.19072422   27.2     27.6      73.4    0.00305531     1.9       1.6
1530.01    17.9    6.8     13.3      32.9    0.98613972   9.6      11.2      25.9    0.73413923     0.1       1.0
1531.01    22.9   10.7     14.7      30.3    0.99702396   11.1     14.5      30.4    0.98662816     0.4       0.8
1532.01    21.4   22.2     25.2      83.5     0.1186063   15.4     21.2      59.9    0.30078278     1.6       0.2
1533.01    30.5   14.7     43.3     131.0     0.9945817   10.4     38.4      95.8    0.99980664     2.6       1.1
1534.01    28.6   20.0     19.6      24.5    0.57081614   17.3     18.7      29.6    0.40977323     0.0       0.1
1536.01    38.7   20.4     29.0      84.8    0.99735397   19.0     28.9      84.4    0.99807444     0.1       0.2
1537.01    43.0   18.6     34.1      96.8    0.98730457   13.1     32.0     116.7    0.99629662     0.4       0.7
1540.01    12.4    2.1      6.0      82.6         1       2.1       6.0      83.0         1        42.5       71.5
1541.01     1.7    0.6      1.0       7.4         1       0.8       1.0      7.6     0.99999191     0.9       0.5
1543.01     2.0    0.7      1.0       2.7    0.99999983   0.8       0.9      2.5     0.99997346     0.5       0.8
1546.01    11.9    2.7      6.2      71.9         1       2.1       5.5      69.8         1         2.9       0.9
1557.01     6.9    4.8      5.7      11.3    0.86726745   4.8       5.6      11.9    0.80886619     0.9       0.1
1561.01    11.9    5.3     17.6      55.6     0.9608563   9.8      16.1      48.8    0.20196117     0.2       2.0
Table 3—Continued

                                      (EL 5,T2)                                   (EL 2,T2)
                                                                                                                |∆ P | e   |∆ E| f
  KOI         σT T     MADa     WRMSb MAXc              p′2 d
                                                         χ         MADa     WRMSb MAXc               p′2 d
                                                                                                      χ          σP         σE
             (min)     (min)    (min)     (min)                    (min)    (min)     (min)


 1564.01        5.9      2.8       2.4       5.2     0.78248324     0.0        0.0       0.1      0.99254795      5.4       0.4
 1569.01       18.4     11.9      11.3      17.4     0.74722669     7.4        9.1       15.5     0.93990739      1.2       0.1
 1573.01        7.7      5.7       7.5       9.8     0.47905482     1.6        1.3       5.0      0.8667736       1.2       2.5
 1576.01        7.5      3.7       5.0      10.8     0.97403058     3.8        4.5       9.7      0.90298095      0.2       1.2
 1581.01       54.7     18.1      67.3     143.3     0.95288515     67.5      49.1       74.1    0.008408237      1.2       1.7
 1583.01       34.0     18.5      42.5     160.7     0.95827003     19.5      41.4      146.9     0.85915401      0.9       0.5
 1584.01       24.4     18.4      27.3      68.0     0.58929937     15.4      24.6       58.1     0.80914813      0.4       1.5
 1585.01       23.6     11.4      12.8      18.9     0.92117756     8.2       10.5       18.0     0.93094001      0.8       0.1
 1586.01       14.6      6.8       8.9      23.8     0.99579786     4.6        8.5       22.8     0.99989885      0.7       0.4
 1588.01       18.3      8.4      13.0      35.4     0.99989025     11.6      12.7       31.4     0.91516599      0.9       0.2
 1589.01       24.3     16.8      38.7     115.6     0.71848227     15.2      29.3       74.0     0.71239097      3.3       0.9
 1589.02       24.4     25.4      31.9      72.2    0.074559444     20.8      27.5       66.5     0.1820699       1.9       0.8




                                                                                                                                     – 61 –
 1590.01       36.1      3.0       6.9       9.7     0.99842471     5.6        5.6       7.5      0.7373081       0.9       1.0
 1590.02       29.7     25.7      32.1      88.3     0.21404264     18.9      30.4       77.7     0.91948554      0.3       1.3
 1591.01       14.1      7.8      22.4      46.9     0.82494409     14.9      18.7       34.1    0.031208828      2.1       0.8
 1593.01       30.1      8.8      24.0      47.4     0.99174407     5.1       19.4       32.1     0.9914722       1.2       0.4
 1596.01       24.5     16.0      36.7      92.6     0.85685508     21.6      34.9       87.4     0.13828802      0.9       1.3
 1597.01       16.8      9.7      22.8      79.7     0.92873104     8.6       19.9       60.8     0.94210726      2.0       1.1
 1598.01        8.6      3.0       8.2      20.9     0.90392115     3.8        3.8       6.3      0.34638362      5.2       1.2
 1599.01       24.3     27.8      38.5      67.4    0.055725096     23.1      29.6       41.2    0.073863061      1.2       2.0
 1601.01       38.1     18.9      45.5     150.8     0.97504361     16.5      43.5      144.4     0.97437679      1.3       0.1
 1602.01       52.4     36.4      72.3     178.6     0.69287429     35.4      72.0      166.1     0.56951525      0.6       0.6
 1603.01       28.2     20.6      41.2     165.2     0.75275146     17.8      40.6      157.7     0.94927952      0.7       1.3
 1605.01       39.5     23.5      65.1     153.4     0.96318673     27.6      64.4      147.1     0.69145198      3.7       11.9
 1606.01       27.1     13.3      23.4      50.6     0.99736961     16.3      23.2       51.0     0.91282459      0.6       0.3
 1608.01       28.0     25.0      42.0      82.6     0.24251848     19.4      38.0       83.8     0.50375951      2.0       0.7



  Note. — Table 3 is published in its entirety in the electronic edition of the Astrophysical Journal. A portion is shown here for
guidance regarding its form and content.
  a Median   Absolute Deviation of transit times in Q0-2 from ephemeris
  b Weighted   Root Mean Square deviation of transit times in Q0-2 from ephemeris
c MAXimum       absolute deviation of transit times in Q0-2 from ephemeris
d p-value   for a χ2 -test using χ′2 , as described in §3.1
e Absolute   value of difference of best-fit periods for L2 ,T2 and L5 ,T2 ephemerides normalized by formal uncertainty
f Absolute   value of difference of best-fit transit epochs for L2 ,T2 and L5 ,T2 ephemerides normalized by formal uncertainty




                                                                                                                               – 62 –
Table 4.      Quadratic Ephemerides for Kepler Objects of Interest based on transit times during Q2.

 KOI             Ea            σE             P             σP               cb              σc         MADc         WRMSd          MAXe            ′2
                                                                                                                                                   pχ f         pF g
                (d)            (d)           (d)            (d)                                          (d)          (d)            (d)

  42.01      149.89207      0.002317258   17.835806     0.000999096        -7.93E-05      4.83E-05    0.000224292   0.000465821    0.00087804   0.98156568   0.053661725
 124.02       107.5387      0.004856891   31.713798     0.003447988      0.000155781      9.53E-05    0.000101866     8.70E-05    0.000177141   0.96675223   0.018503953
 142.01      120.58229       0.0014794    10.912549     0.000260135        6.28E-05       7.86E-06    0.001685495   0.002572359    0.00727168   0.67069648   0.005875349
 227.01      122.54014      0.001542628   17.678654     0.000469767        -7.68E-05      1.55E-05    0.000969901   0.001511303   0.003312192   0.82842292   0.028645506
 314.01      124.63071      0.001690889   13.780802     0.000429775         3.71E-05      1.52E-05    0.002035933   0.001290098   0.003126117   0.35704363   0.078718429
 467.01      151.46194      0.001891538   18.007959     0.000842961        -4.92E-05      2.47E-05      6.71E-05      6.55E-05    0.000102345   0.93992411   0.029226395
 528.01      138.41866      0.003407732    9.578232     0.000663483        -5.97E-05      2.13E-05    0.002067159   0.003516547   0.007456802   0.99547272   0.035870139
 649.01      139.37393      0.010461445   23.447238     0.004043237     -0.000165971    0.000148364   0.000121626   0.000120244   0.000228574   0.98082178   0.017380622
 878.01      130.40553      0.007549669   23.615695     0.006189283     -0.000667528    0.000214225   0.001208953   0.001048118   0.001790873   0.79282356   0.067398588
 935.01      133.86998      0.003139609   20.860536     0.001445591        8.34E-05       5.89E-05      6.38E-05    0.000120015   0.000214038   0.99919724   0.002730505
 941.03      146.68417      0.00254628    24.664449     0.002533906     0.000158955       9.16E-05    0.000255548   0.000235014   0.000381217   0.87610092    0.07150007
 960.01      125.95369      0.000313363   15.800727     0.000146537        1.07E-05       5.90E-06    0.000135125   0.000123596   0.000210589   0.88030747   0.054869155
1308.01      126.11344      0.008972545   23.597302     0.004072063       0.00039199    0.000147879   0.003606992   0.003070563   0.005514918   0.73324413   0.061761557
1310.01      129.81925      0.009257043   19.130778      0.00267195        6.13E-05       8.77E-05    0.000511397   0.001120656   0.002320763   0.99997768   0.020817298




                                                                                                                                                                       – 63 –
a Epoch

b curvature;   see Eqn. 1
c Median    Absolute Deviation of TTs from quadratic ephemeris
d Weighted     Root Mean Square deviation of TTs from quadratic ephemeris
e MAXimum       absolute deviation of TTs from quadratic ephemeris
f p-value   for a χ2 -test using χ′2 relative to quadratic ephemeris, as described in §3.1
g p-value   for an F -test comparing linear and quadratic ephemerides, as described in §3.1
– 64 –




    Table 5.      Notes for Kepler Planet Candidates with Putative Transit Timing Variations.

KOI          P         Rp a   S/Nb    Tdur c   nTTd   nPCe     TTVf                      Comment
            (d)       (R⊕ )           (hr)                     Flag

 10.01     3.52230    10.5    22.6     3.3       35     1       2     epoch offset
 13.01     1.76359    20.4    130.7    3.2       35     1       3     outlier
 42.01    17.83278     2.6    10.8     4.5        5     1       2     quadratic?
 94.02    10.42361     4.0    10.1     5.3        3     3       2     offset
103.01    14.91155     2.3    14.5     3.4        7     1       1     Period & epoch differ
124.02    31.71954     2.8    10.7     5.1        4     2       4     few TTs; quadratic?
131.01     5.01418     9.0    78.6     4.7       16     1       3     plaussible
137.02    14.85901     8.6    59.3     3.8        7     3       2     offset; trend?
142.01    10.91478     2.5    18.1     3.7       10     1       1     cubic
148.03    42.89554     2.0    12.3     5.6        3     3       2     offset
151.01    13.44739     4.6    10.8     2.7       10     1       2     Period differs
153.01     8.92503     3.2     8.9     2.7       12     2       3     plaussible
156.02     5.18856     1.6     3.1     2.5       21     3       3     no obvious pattern
168.01   10.7435565    3.7     7.2     6.1       11     3       2     offset
172.01    13.72288     1.6     8.9     5.0        8     1       3     plaussible
179.01    20.74007     3.3    21.7    10.3        6     1       3     outlier
209.01    50.78974     7.5    74.0    10.9        3     2       4     few TTs
217.01     3.90509    10.4    83.0     2.8       30     1       2     epoch offset?
226.01     8.30890     1.6     5.6     3.0       15     1       2     Period differs
227.01    17.66076     2.9    13.4     4.7        7     1       1     large amplitude; quadratic
238.01    17.23217     2.5     6.5     4.4        8     1       2     Period differs
241.01    13.82145     1.7     9.3     3.5       10     1       3     plaussible
244.02     6.23855     2.6    20.4     3.6       18     2       2     systematically low; long-term trend
245.01    39.79454     2.1    30.3     4.7        3     1       2     few TTs; offset
248.01     7.20349     2.9     7.4     2.6       17     3       2     Period differs
258.01     4.15764     4.5     4.5     5.3       27     1       2     period & epoch change; pattern?
260.01    10.49577     1.2     3.4     4.5       10     2       3     outlier
261.01    16.23844     5.6     9.6     3.9        7     1       3     no obvious pattern
270.01    12.58084     0.9     5.8     5.9        9     2       3     low amplitude
277.01    16.23675     2.1    19.9     7.7        7     1       1     quadratic
279.01    28.45557     4.9    50.8     8.1        3     2       2     few TTs; offset
281.01    19.55687     3.7    14.3     8.1        5     1       2     outlier
288.01    10.27540     1.5     9.9     6.3       10     1       3     no obvious pattern; outliers
295.01     5.31741     2.0     2.5     2.9       20     1       2     Period differs
312.01    11.57898     1.6     4.2     2.7       10     1       3     no obvious pattern
314.01   13.7810484    1.9     8.0     2.5        8     2       2     offset; quadratic?
323.01     5.83674     2.9     1.4     3.4       21     1       5     long-term trend; despite low SNR; but is it spots?
331.01    18.68416     1.1     7.0     6.4        6     1       3     fit affected by a few outliers
339.02     6.41681     1.1     2.4     3.1       18     2       4     Period differs; but lo SNR
346.01    12.92463     3.4     3.7     2.8        9     1       4     possible periodicicty; outliers
348.01    28.51109     5.3    30.0     4.6        3     1       4     few TTs
355.01     4.90345     2.0     4.4     2.8       23     1       3     outlier
360.01     5.94042     1.3     2.6     4.6       17     1       5     offset; low SNR
377.02    38.91160     6.2    37.3     5.0        3     3       2     few TTs; offset
388.01     6.14974     0.6     4.4     5.4       18     1       2     epoch offset? Large TT uncertainties
– 65 –




                                             Table 5—Continued

KOI         P        Rp a   S/Nb    Tdur c   nTTd   nPCe   TTVf                          Comment
           (d)      (R⊕ )           (hr)                   Flag

417.01   19.19311   9.0      45.0   2.5         6    1        2   epoch offset?
418.01   22.41834   12.6    157.6   4.9         4    1        4   epoch offset?
420.01    6.01040   4.3      24.4   2.3        19    1        2   epoch offset?
423.01   21.08739   9.6      62.3   6.0         4    1        4   few TTs; outliers?
443.01   16.21718   2.2      9.1    4.7         6    1        2   epoch offset
467.01   18.00891   5.0      30.4   4.9         4    1        4   few TTs; quadratic?
473.01   12.70512   2.2      6.6    2.4         8    1        2   epoch offset? or outlier?
477.01   16.54318   2.6      6.0    3.8         7    1        2   outlier?
486.01   22.18310   1.4      7.4    5.1         4    1        4   few TTs
505.01   13.76725   3.1      6.2    3.0         9    1        2   epoch offset?; chopping?
524.01    4.59252   2.3      6.2    2.4        25    1        2   Period & epoch differ
528.01    9.57676   3.1      6.1    3.4        11    3        1   cubic?
528.03   20.55273   3.2      5.4    2.5         5    3        3   fift affected by outlier?
531.01    3.68746   4.2      15.7   1.3        31    1        5   short duration and PDC likely affecting TTs
564.01   21.05821   2.4      6.6    7.4         5    2        2   Period differs
579.01    2.02000   1.5      2.3    1.9        58    1        4   low SNR; short duraiton; no obvious pattern
596.01    1.68271   1.7      2.8    1.3        70    1        5   short transit durations may affect TTs; Period differs
624.01   17.78948   2.1      5.1    4.4         5    1        2   outlier
649.01   23.44942   2.0      7.3    8.1         4    1        4   few TTs; quadratic?
658.01    3.16267   1.5      6.1    1.9        37    2        2   short duraiton; offset?
662.01   10.21362   1.5      6.2    5.5        11    1        2   Period & epoch differ
663.02   20.30708   1.7      10.1   2.8         6    2        2   no obvious pattern
664.01   13.13755   2.1      4.0    4.7         7    1        3   no obvious pattern
679.01   31.80485   1.8      10.4   8.1         3    1        2   few TTs; offset?
693.02   15.66002   1.7      7.3    7.0         8    2        3   fit affected by outlier
697.01    3.03219   4.0      6.0    3.6        29    1        3   plaussible
700.02    9.36127   1.9      3.0    3.3        13    2        2   Period differs
707.03   31.78453   2.5      6.4    8.6         3    4        4   few TTs; outlier
709.01   21.38418   2.2      7.5    3.8         5    1        2   large amplitude; alternating?
725.01    7.30500   6.7      4.4    3.4        17    1        3   outlier
730.03    9.85997   2.4      1.8    4.4        13    4        4   low SNR; plaussible
735.01   22.34101   5.0      6.9    4.8         4    1        5   few TTs; large amplitude; active star
743.01   19.40335   10.9     44.6   10.5        5    1        5   active star; possible periodicicty; fit affected by outliers
751.01    4.99682   3.2      2.4    2.1        17    1        4   lo SNR; no obvious pattern
753.01   19.89939   6.9      10.8   1.9         6    1        5   short duraiton; outlier
756.02    4.13463   2.6      2.7    3.1        20    3        4   lo SNR; no obvious pattern
767.01    2.81651   14.2     79.9   2.6        40    1        5   inaccurate ephemeris in B11
786.01    3.68995   1.8      1.9    2.3        32    1        4   low SNR; plausibly small amplitude
800.02    7.21227   2.5      3.8    4.0        14    2        4   offset?; but outlier; low SNR
818.01    8.11429   3.6      5.0    2.4        14    1        2   Period differs
822.01    7.91937   11.5     43.4   3.1        15    1        2   epoch offset?
834.03    6.15542   1.4      2.3    4.6        20    4        2   Period differs
850.01   10.52631   8.7      52.8   2.7        10    1        2   epoch offset?
856.01   39.74897   13.1    105.8   5.7         3    1        4   epoch offset?
867.01   16.08561   3.4      9.2    3.7         7    1        3   no obvious pattern
– 66 –



                                                     Table 5—Continued

 KOI             P         Rp a     S/Nb    Tdur c    nTTd    nPCe    TTVf                         Comment
                (d)       (R⊕ )             (hr)                      Flag

 872.01       33.60167     7.4      38.5      4.4        3      1      4     few TTs
 878.01       23.58879     5.2       8.6      4.5        4      1      4     outlier?
 884.02       20.47687     2.7      10.8      3.5        5      3      1     quadratic
 905.01        5.79511     2.0       6.5      2.4       19      1      3     no obvious pattern
 920.01       21.80587     1.9       5.7      2.9        4      1      4     epoch offset?
 928.01        2.49409     2.3       2.2      1.8       45      1      1     short duraiton; periodic in Q¡=2?
 935.01       20.85987     3.6      14.1      5.2        5      3      2     quadratic
 940.01        6.10484     3.5      23.5      4.7       18      1      2     outlier
 941.03          24.7      6.6       9.6      3.3        4      3      2     offset; quadratic?
 947.01       28.59891     2.7       8.8      3.7        4      1      4     epoch offset?
 954.01        8.11522     2.3       4.3      2.9       12      2      2     Period differs
 960.01      15.8011094    13.9     237.4     6.2        6      1      2     offset; quadratic?
 961.01        1.21377     3.9       3.4      0.5       98      3      5     short transit durations may affect TTs; Period differs
 972.01       13.11893     5.3      30.0      4.5        6      1      5     pulsations may affect TTs
 977.01        1.35366     0.8       2.5      3.6       86      1      5     phase linked variations
 984.01        4.28899     4.4       1.2      2.9       28      1      5     noisy star; likely dominates apparent TTVs; low SNR
1001.01       20.40241     2.6       4.3     12.8        7      1      2     major outliers
1003.01        8.36062     14.1     24.7      7.3       10      1      2     outlier
1019.01        2.49677     1.2       0.7      2.6       47      1      5     low SNR
1054.01        3.32361     2.0       1.4      3.8       36      1      5     variable star; low SNR; messy TTVs suggest false alarm
1059.01        1.02267     1.4       0.8      1.4      114      1      5     low SNR; short transit duration
1089.02      12.2182202    5.7      11.0      2.9       10      2      2     offset
1111.01       10.26494     1.6       1.7      3.8       11      1      4     low SNR; fit likely affected by outliers
1128.01        0.97488     1.0       3.2      1.7       61      1      5     some transits affected by thermal events; short duraiton
1169.01        0.68921     1.2       2.1      1.6      171      1      5     low SNR; short duration
1199.01       53.52962     2.7       8.2      5.6        3      1      4     few TTs
1201.01        2.75753     1.4       1.0      1.0       43      1      5     low SNR; short duration
1204.01        8.39776     1.7       1.9      6.5       15      1      4     low SNR; periodic?
1215.01      17.3229827    2.2       5.5      7.5        7      2      2     offset
1236.02        6.15488     1.7       2.6      5.7       19      2      4     low SNR
1241.02       10.49447     7.0       3.6     12.7       11      2      2     plaussible
1270.01        5.72943     2.0       3.6      1.2       20      1      5     short transit duration
1285.01        0.93742     8.0       4.7      1.7      124      1      5     spotted star; short duraiton; epoch offset? Trend?
1308.01      23.584268     2.0       6.8      5.5        5      1      2     period & epoch differ
1310.01       19.12903     2.0       3.9      3.7        7      1      2     F test suggests quadratic; but TTs consistent w/ linear
1344.01        4.48761     1.1       1.7      2.6       26      1      5     low SNR
1366.01       19.25493     2.4       6.4      4.5        5      1      2     epoch offset?
1396.02        3.70128     1.9       1.2      2.6       22      2      5     low SNR
1465.01        9.77142     4.9      10.5      1.7       13      1      5     PDF artificacts; short duraiton; TTs unreliable
1468.01        8.48084     3.7       9.5      6.2       15      1      3     possible periodicicty; fit affected by outliers
1508.01       22.04698     1.6       3.6      4.6        6      1      2     outlier?
1512.01        9.04184     2.1       3.1      2.1       13      1      2     fit affected by outlier
1540.01        1.20785     19.2     22.0      3.0       71      1      5     inaccurate ephemeris in B11
1605.01        4.93916     1.8       3.3      1.4       25      1      5     offset; but low SNR and short duration may affect TTs

a Putative   radius of planet in Earth radii (from B11)
b Typical   Signal to Noise Ratio of an individual transit
– 67 –

  c Transit   duration (from B11)
  d Number     of transit times measured in Q0-2
  e Number    of transiting planet candidates for host star
  f 1=patternto eye, 2=trend or periodicity, 3=excess scatter and no trend, 4=low S/N per transit and/or few transits, 5=note about
difficulty measuring TTs
– 68 –


                                          Appendix

     Here we provide an appendix (online only) of TTVs for several Kepler planet candidates of
particular interest. The TT are plotted relative to the EL 5 ephemeris provided by B11. Using
the Q0-Q2 ephemeris would cause the weighted average of TTVs was zero. Thus, an offset of
the weighted average of plotted TTVs (relative to zero) and/or a slope of the TTVs may indicate
a gradual change in the orbital period between the ephemeris measured based on Q0-2 and the
ephemeris based on Q0-5 data and provided in B11.



                                      TTV Candidates
– 69 –




KOI 010.01
– 70 –
– 71 –
– 72 –
– 73 –
– 74 –
– 75 –
– 76 –
– 77 –
– 78 –
– 79 –
– 80 –
– 81 –
– 82 –
– 83 –


Weak TTV Candidates
– 84 –
– 85 –
– 86 –
– 87 –
– 88 –
– 89 –
– 90 –
– 91 –


Non-Detections of TTVs
– 92 –
– 93 –
Transit timing observations from kepler  i. statistical analysis of the first four months
Transit timing observations from kepler  i. statistical analysis of the first four months
Transit timing observations from kepler  i. statistical analysis of the first four months
Transit timing observations from kepler  i. statistical analysis of the first four months
Transit timing observations from kepler  i. statistical analysis of the first four months
Transit timing observations from kepler  i. statistical analysis of the first four months
Transit timing observations from kepler  i. statistical analysis of the first four months

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Transit timing observations from kepler i. statistical analysis of the first four months

  • 1. intended for arxiv & ApJ on Feb 2 Transit Timing Observations from Kepler : I. Statistical Analysis of the First Four Months arXiv:1102.0544v1 [astro-ph.EP] 2 Feb 2011 Eric B. Ford1 , Jason F. Rowe2,3 , Daniel C. Fabrycky4 , Josh Carter5 , Matthew J. Holman5 , Jack J. Lissauer3 , Darin Ragozzine5 , Jason H. Steffen6 , William J. Borucki3 , Natalie M. Batalha7 , Steve Bryson3 , Douglas A. Caldwell3,8 , Thomas N. Gautier III9 , Jon M. Jenkins2,3 , David G. Koch3 , Jie Li2,3 , Philip Lucas10 , Geoffrey W. Marcy11 , Fergal R. Mullally2,3 , Elisa Quintana2,3 , Sean McCauliff8 , Peter Tenenbaum2,3 , Susan E. Thompson2,3 , Martin Still12,3 , Joseph D. Twicken2,3 eford@astro.ufl.edu ABSTRACT The architectures of multiple planet systems can provide valuable constraints on models of planet formation, including orbital migration, and excitation of orbital eccen- tricities and inclinations. NASA’s Kepler mission has identified 1235 transiting planet candidates (Borcuki et al. 2011). The method of transit timing variations (TTVs) has already confirmed 7 planets in two planetary systems (Holman et al. 2010; Lissauer et al. 2011a). We perform a transit timing analysis of the Kepler planet candidates. We find that at least ∼12% of planet candidates currently suitable for TTV analysis show evidence suggestive of TTVs, representing at least ∼65 TTV candidates. In all cases, the time span of observations must increase for TTVs to provide strong constraints on 1 Astronomy Department, University of Florida, 211 Bryant Space Sciences Center, Gainesville, FL 32111, USA 2 SETI Institute, Mountain View, CA, 94043, USA 3 NASA Ames Research Center, Moffett Field, CA, 94035, USA 4 UCO/Lick Observatory, University of California, Santa Cruz, CA 95064, USA 5 Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138, USA 6 Fermilab Center for Particle Astrophysics, P.O. Box 500, MS 127, Batavia, IL 60510 7 San Jose State University, San Jose, CA 95192, USA 8 Orbital Sciences Corporation/NASA Ames Research Center, Moffett Field, CA 94035, USA 9 Jet Propulsion Laboratory/California Institute of Technology, Pasadena, CA 91109, USA 10 Centre for Astrophysics Research, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, England 11 University of California, Berkeley, Berkeley, CA 94720 12 Bay Area Environmental Research Institute/NASA Ames Research Center, Moffett Field, CA 94035, USA
  • 2. –2– planet masses and/or orbits, as expected based on n-body integrations of multiple tran- siting planet candidate systems (assuming circular and coplanar orbits). We find that the fraction of planet candidates showing TTVs in this data set does not vary signifi- cantly with the number of transiting planet candidates per star, suggesting significant mutual inclinations and that many stars with a single transiting planet should host additional non-transiting planets. We anticipate that Kepler could confirm (or reject) at least ∼12 systems with multiple transiting planet candidates via TTVs. Thus, TTVs will provide a powerful tool for confirming transiting planets and characterizing the orbital dynamics of low-mass planets. If Kepler observations were extended to at least six years, then TTVs would provide much more precise constraints on the dynamics of systems with multiple transiting planets and would become sensitive to planets with orbital periods extending into the habitable zone of solar-type stars. Subject headings: planetary systems; planets and satellites: detection, dynamical evo- lution and stability; methods: statistical; techniques: miscellaneous 1. Introduction NASA launched the Kepler space mission on March 6, 2009, to measure the frequency of small exoplanets. In its nominal mission Kepler will observe over 100 square degrees nearly continuously for three and a half years, so it can detect multiple transits of planets in the habitable zones of solar- type stars. The spacecraft carries consumables that could support an extended mission which would improve sensitivity for detecting small planets and would dramatically improve the constraints from transit timing studies. Kepler began collected engineering data (“quarter” 0; Q0) for stars brighter than Kepler magnitude (Kp ) 13.6 on May 2, 2009, and science data for over 150,000 stars on May 13, 2009. The first “quarter” (Q1) of Kepler data extends through June 15, 2009 and the second quarter (Q2) runs from June 20 to September 16, 2009. On February 1, 2011, the Kepler team released light curves during Q0, Q1 and Q2 for all planet search targets via the Multi-Mission Archive at the Space Telescope Science Institute (MAST; http://archive.stsci.edu/kepler/). The Kepler team has performed an initial transiting planet search to identify Kepler Objects of Interest (KOIs) that show transit-like events during Q0-2 (Borucki et al. 2011; hereafter B11). B11 lists 1235 KOIs as active planet candidates. Other KOIs are recognized as likely astrophysical false positives (e.g., blends with background eclipsing binaries) and are reported in B11 Table 4. As the team performs tests of KOIs, a “vetting flag” is used to indicate which KOIs are the strongest and weakest planet candidates with the expected reliability ranging from ≥98% for confirmed planets to ≥60% for those which have yet to be fully vetted. Table 2 of B11, lists the putative orbital period, transit epoch, transit duration, planet size, and vetting flag for KOIs which are active planet candidates and were observed to transit in Q0-2. The current sample of planet candidates is incomplete due to selection effects. In particular, planets with long orbital periods (P > 125d), small planets (Rp ≤ 2R⊕ ), and planets around faint, active and/or large stars are affected (B11).
  • 3. –3– Further candidates will likely be identified as additional data are analyzed and the Kepler pipeline is refined. The light curve of two eclipsing objects can be very sensitive to perturbations that result in non-Keplerian motion. The variability in the times of eclipsing binaries have been studied for decades. Typically, an “O-C” diagram, highlighting the difference between the observed ephemeris and the ephemeris calculated from a constant period, has been used to detect additional bodies, apsidal motion, and other effects. The application of this technique to planetary transits is known as Transit Timing Variations (TTVs) which have been studied extensively both theoretically and observationally over the past several years. Astrophysically interesting non-linear transit times potentially observable by Kepler can be caused most readily by a perturbing planet (e.g., Miralda- Escud´ 2002; Agol et al. 2005; Holman & Murray 2005; Ford & Holman 2007) or moon (e.g., Simon e et al. 2007; Kipping et al. 2009), though higher-order gravitational effects can occasionally be significant (e.g., Carter & Winn 2010). While variations in transit duration, depth, or overall shape can also be used to study various astrophysical properties (e.g., Miralda-Escud´ 2002; Ragozzine e & Wolf 2009; Carter & Winn 2010), these are not calculated or discussed in this manuscript. In this paper, we analyze putative transit times (TTs) by Kepler planet candidates that show at least three transits in Q0-2. We describe our methods for measuring transit times and constructing ephemerides in §2. We discuss the results of several statistical analyses applied to each of the planet candidates under consideration in §3. We present a list of planet candidates with early indication of TTVs in §4.1. We compare the expected and observed TTVs for candidate multiple transiting planet systems in §4.2. Finally, we discuss the implications of these early results for planet formation and the future of the TTV method in §5. 2. Measurement of Transit Times from Kepler Data 2.1. Bulk Transit Time Measurements A combination of pipelines is used to identify KOIs as described in Latham et al. (2011). We measure transit times based on the long cadence (LC), optimal aperature photometry performed by the Kepler SOC pipeline version 6.2 (Jenkins et al. 2010). The pipeline produces both “calibrated” light curves (PA data) for individual analysis and “corrected” light curves (PDC) which are used to search for transits. This paper presents a bulk set of transit times measured from PDC data. For a detailed analysis of an individual system, we strongly recommend that users inspect both PA and PDC data to determine which is best suited for their target star and applications. For example, the TTV detections of Kepler-9b & c and Kepler-11 b-f were based on PA data (Holman et al. 2010; Lissauer et al. 2011a). We fold light curves at the orbital period reported in B11. Next, we fit a limb-darkened transit model to the folded light curve, allowing the epoch, planet-star radius ratio, transit duration, and
  • 4. –4– impact parameter to vary. We use the best-fit transit model as a fixed template to measure the transit time of each individual transit (while holding other parameters fixed). The best-fit transit times are determined by Levenberg-Marquardt minimization of χ2 (Press et al. 1992). In a few cases, we iterate the procedure, aligning transits based on the measured period in order to generate an acceptable light curve model. For a small fraction of candidates (KOI 2.01, 403.01, 496.01, 508.01, 559.01, 617.01, 625.01, 678.01, 687.01, 777.01), we measure TTs during Q1 only, due to complications in the Q2 light curves (e.g., saturation and changing aperture, convergence issues for low S/N transits during Q2, stellar noise, and/or grazing short-period events). We estimate the uncertainty in each transit time from the covariance matrix. For most planet candidates, typical scatter in its TT relative to a linear ephemeris is comparable to the median timing uncertainty (see Fig. 1). Even when the transit model used for transit time measurements is not ideal, good TTVs and errors can be extracted using this technique, since the transit time is the only free parameter and only a roughly correct shape is needed to identify accurate times and errors. Subsets of the observed times reported in Table 2 were tested with different transit time estimation codes, which employ different techniques. While a more thorough analysis can sometimes reduce the timing uncertainty or minimize the number of apparent TTV outliers, the results are consistent across different algorithms. For target stars where multiple transiting planet candidates have been identified, we sequen- tially fit each transit separately. Prior to fitting for TTVs, we remove the best-fit transit-models for additional candidates present in the light curve. For example, if there are 3 planet candidates in the system, then the fitting procedure would first fit for the template light curves in the following order: 1) fit candidate .01, 2) remove .01 from the light curve, 3) fit candidate .02 from residuals, 4) remove .02 from light curve, 5) fit candidate .03 from residuals, and 6) remove .03 from light curve. In most cases, the sequence .01, .02, ... is from the highest to the lowest signal to noise (integrated over all transits). Next, we would measure the transit times according to the following plan: 1) remove .02 and .03 from original light curve, 2) fit for .01 template, 3) measure TTs for candidate .01, 4) remove .01 and .03 from original light curve, 5) fit for .02 template, 6) measure TTs for candidate .02, 7) remove .01 and .02 from original light curve, 8) fit for .03 template, and 9) measure TTs for candidate .03. In some cases, we repeat the measurement of TTs by aligning the transits using the first set of TTs before generating the template. 2.2. Transit Timing Models Once each set of individual transit times (TTs) has been measured, we calculate multiple sets of TTVs by comparing them to multiple ephemerides: 1) the linear ephemeris published in B11 (EL 5), 2) the best-fit linear ephemeris calculated from TTs in Q0-2 (EL 2), and 3) the best-fit quadratic ephemeris calculated from TTs in Q0-2 (EQ 2). The quadratic ephemeris is given by ˆ ˆ ˆ tn = E0 + n × P (1 + n × c), ˆ (1)
  • 5. –5– ˆ ˆ where E0 is the best-fit time of the zeroth transit, P is the best-fit orbital period, and c is the ˆ best-fit value of the curvature. For a linear ephemeris, c = 0. The EL 5 ephemerides differ from the ˆ EL 2 ephemerides in that E ˆ0 and P were determined using Kepler data up to and including Q5, ˆ rather than Q2. 3. Assessing the Significance of Transit Timing Variations Transit times for each planet candidate considered are provided in the electronic version of Table 2. We perform several tests to determine if TTVs are statistically significant. These address three questions: 1) “Is the observed scatter in TTs greater than expected?”, 2) “Is there is a long-term trend in the TTs?”, and 3) “Is there a simple periodic variation in the TTs?”. 3.1. Scatter in Transit Times 2 ˆ ˆ First, we calculated χ2 = n∈ Q0−2 tn − tn /σn for tn calculated from both the EL 2 and EL 5 ephemerides. A standard χ 2 test results in a p-value less than 0.001 for 15-17% of candidates. As expected, the fraction is lower if we use the EL 2 ephemerides, since the same times are being used for the model fit and the calculation of χ2 . If the errors in the TT measurements, normalized by the estimated timing uncertainty, were accurately described by a standard normal distribution, then one would expect only a few false alarms. However, we note that a disproportionate fraction (42%) of the planet candidates with seemingly significant scatter in their transit times have an average signal to noise (S/N) in each transit of less than 3, while planet candidates with such a small S/N per transit represent only (∼23%) of planet candidates considered. While it is possible that planets with low S/N transit are more likely to have significant TTVs, we opt for a more conservative interpretation that the distribution of errors in our transit times measurements for low S/N transits are not accurately described by a normal distribution with a dispersion given by the estimated timing uncertainties. In particular, when measuring the times of low S/N transits, ˆ the χ2 surface as a function of tn can be bumpy due to noise in the observed light curve, resulting in a much greater probability of measuring a significantly discrepant transit time than assumed by our normal model. To avoid a high rate of false alarms due to random noise, we focus our attention on planet candidates where the typical S/N in a transit exceeds 3. A standard χ2 test results in ∼10-13% (84 or 102/807) of the remaining planet candidates having a p-value less than 0.001. We ob- serve that for many of these cases, the contribution to χ2 is dominated by a small fraction of the TTs. Based on the inspection of many light curves around these isolated discrepant tran- sit times, we find that occasionally the measured TTs can be significantly skewed by a couple of deviant photometric measurements. In principle, this could occur due to random noise, but for high S/N transits, stellar variability or improperly corrected systematic errors are the more likely
  • 6. –6– culprits. For example, systematic errors often appear after events such as reaction wheel desatu- rations, reaction wheel zero crossings, and data gaps (see data release notes at MAST for details; http://archive.stsci.edu/kepler/data_release.html). To further guard against a few discrepant TTs leading to a spurious detection of TTVs, we calculate a statistic similar to the standard χ2 , but one that is more robust to outliers, π NT T ( MAD)2 χ′2 ≡ 2 , (2) 2σT T where NT T is the number of TTs measured in Q0-2, MAD is the median absolute deviation of the measured TTs from an ephemeris, and σT T is the median TT measurement uncertainty. For the standard normal distribution the expectation value of χ′2 is equal to the expectation of the standard χ2 . The advantage of χ′2 for our application is that χ′2 is much less sensitive to the assumption that measurement errors are well characterized by a normal distribution. A small fraction of significant outliers can greatly increase χ2 but has a minimal effect on χ′2 . Of course, this comes at a price, χ′2 is not useful for recognizing TTV signals where only a small fraction of TTs deviate from a standard linear ephemeris. We expect this is a good trade, given the predicted TTV signatures (Veras et al. 2011) and the characteristics of our TT measurements. We calculate a p-value based on χ′2 and identify planet candidates showing strong indications of a TTV signal based on a p ≤ 10−3 . This test identifies roughly ∼4-5% (29 or 39/807) of planet candidates with a S/N per transit greater than 3 as showing excess scatter relative to a linear ephemeris. We find the larger fraction (∼5%) when comparing to the EL 2 ephemerides (rather than the EL 5 ephemerides). We speculate that this may be due to the EL 5 ephemerides being more robust to a small number of outlying TTs in Q2 which would have a greater effect on the EL 2 ephemerides. We discuss these candidates further in §4.1. A summary of these and other summary statistics for all planet candidates considered appears in Table 3. 3.2. Long Term Trends in Transit Times 3.2.1. Difference in Best-fit Orbital Periods Next, we search the TTs in Q0-2 for evidence of a long-term trend. As a first test, we compare the orbital periods we measure from our EL 2 ephemeris to the period of the EL 5 ephemeris reported in B11. We find period differences greater than three times the formal uncertainty in the orbital periods for roughly 14% (117/307) of planet candidates with a S/N per transit greater than 3. Most of these have only three transits in Q0-2 or only slightly exceed the threshold, perhaps due to a slight underestimate of the uncertainty in the orbital period. Of the planet candidates for which the periods disagree very significantly and there are at least four transits in Q0-2, most show an easily recognizable long-term trend and were identified as interesting by the χ′2 test described in §3.1.
  • 7. –7– For planet candidates with an apparently discrepant period and no more than 5 transit times measured in Q0-2, often the EL 2 ephemeris could have been significantly affected by a single outlying TTV point during Q0-2. KOI 1508.01 has 6 transits, and may also have been affected by an outlier. Two planet candidates have large and nearly linear residuals suggesting an inaccurate ephemeris was given in B11. Based on data through Q0-2 only, we provide alternative ephemerides of: (118.05868±0.00011)+N ×(2.8153306±0.0000084) for KOI 767.01 and (147.41414±0.00085)+ N × (1.2094482 ± 0.000038) for KOI 1540.01. After discarding the cases above, the most compelling candidates with at least five transit times observed in Q0-2 that were identified by this method and not by the χ′2 test are KOI-524.01 and 662.01. KOI-961.01 is formally highly significant, but we caution that the short transit duration may affect the TT measurements. KOIs 226.01, 238.01, 248.01, 564.01, 700.02, 818.01 and 954.01 are also identified based on an apparent discrepancy (≥ 4 − σ) between the periods of the EL 2 and EL 5 ephemerides. KOIs 295.01, 339.02 and 834.03 also meet this criteria, but are even less secure since they have a S/N per transit of less than three. If the putative signals are real, then they should become obvious with a longer time span of TT observations. 3.2.2. Difference in Best-fit Epochs We can perform a test similar to §3.2.1, but comparing the epochs we measure from our EL 2 ephemeris to the epoch from the EL 5 ephemeris reported in B11. This test identifies 30 planet candidates for which the best-epoch for Q0-2 differs from that reported for Q0-5 from B11 at the ≥ 4σ level (excluding some with known issues regarding the TT measurements). Of these, 16 had not been identified by the χ′2 -test or the test for a difference in orbital periods between Q0-2 and Q0-5: 10.01, 94.02, 137.02, 148.03, 217.01, 279.01, 377.02, 388.01, 417.01, 443.01, 658.01, 679.01 and 1366.01. In addition, the χ′2 test flagged 1169.01 and 360.01 that have poor TT measurements due to low S/N, 800.02 that may be affected by an outlier. While 279.01 and 679.01 have only three TTs during Q0-2, that is sufficient for testing whether the epoch matches the B11 ephemeris. Particularly interesting are KOIs 279.01, and 658.01 and 663.02 that are in systems with two planet candidates and 94.02, 137.02, 148.03, 377.02, 884.02 and 961.01 that are in systems with three planet candidates. 3.2.3. F -test for Comparing Quadratic and Linear Models While TTV signatures can be quite complex, the time scale for resonant dynamical interactions among planetary systems is typically orders of magnitude longer than the orbital period. Thus, we expect that the dominant TTV signature of many resonant planetary systems can be well approximated by a gradual change in the orbital period over timescales of months to years. Indeed, such a pattern led to the confirmation of Kepler-9 b&c (Holman et al. 2010). (The “chopping” signature occurs on an orbital timescale, but a much smaller amplitude.) Thus, we fit both linear
  • 8. –8– and quadratic ephemerides (see §2.2) to the Q0-2 data, calculate χ2 for both models and perform an F -test to assess whether including a curvature term significantly improves the quality of the fit. This method has the advantage of being less sensitive to the accuracy of the TT uncertainty estimates, as they affect both the numerator and denominator of the F statistic similarly. The F -test does not result in a p value less than 10−3 for any of the KOIs that are still viable planet candidates. For our application, the F -test has limited power, since we fit only TTs measured in Q0-2, resulting in a shorter time span for a gradual change in the period to accumulate. We note that the F -test does strongly favor the quadratic model for two KOIs previously identified as being due to stellar binary or triple systems (KOI-646.01, Fabrycky et al. in prep; 1153.01), where the curvature is sufficiently large that the period changes appreciably during Q0-2. Next, we consider systems for which the F -test gives a p-value of 0.05 or less. Quadratic ephemerides for these KOIs are given in Table 4. Approximately 1% of KOIs considered are iden- tified. Half of these correspond to candidates with only 4 or 5 transits in Q0-2, so it is impractical to assess the quality of a three-parameter model accurately. Of the remaining systems, KOI 142.01 and 227.01 were already identified by the χ′2 test, while KOI-528.01 and 1310.01 were not. Upon visual inspection, 528.01 appears to be a plausible detection of TTVs, but 1310.01 does not, as the TTs and uncertainties are also consistent with a linear ephemeris. These candidates are discussed further in §4.1. 3.3. Periodic Variations in Transit Times Over long time scales, dynamical interactions in two-planet systems can result in complex TTV signatures characterized by many frequencies. However, on short time scales, TTV signatures can often be well described by a single periodic term. For example, for closely packed, but non-resonant, planetary systems, the TTV signature is often dominated by the reflex motion of the star due to other planets. In this case, we would expect a typically small TTV signal on an orbital time scale. Given the relatively short time span of the observations, we search for planet candidates with a TTV signature that can be approximated by a single sinusoid, ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ ˆ tn = E0 + n × P + A sin(2π nP /PT T V ) + B cos(2π nP /PT T V ), (3) ˆ ˆ ˆ A and B determine the amplitude and phase of the TTV signal, while 2π/PT T V gives the frequency ˆ of the model TTV perturbation. For a given PT T V , finding the best-fit (i.e., minimum χ2 ) model ˆ is a linear minimization problem. Thus, we perform a brute force search over PT T V to identify the best-fit simple harmonic model stopping a (Ford et al. 2011). Assessing whether the best-fit harmonic model is significantly better than a standard linear ephemeris is notoriously difficult (e.g., Ford & Gregory 2007), even when the distribution and magnitude of measurement uncertainties are well understood. Therefore, we plotted the cumulative distribution of summary statistics and recognized a break in the distribution corresponding to a tail that included approximately 2% of the planet candidates considered, which also included several KOIs which have since been moved
  • 9. –9– to the false positives list. One quarter of the KOIs in this tail had eight or fewer TTs measured in Q0-2, so it was not practical to assess the quality of a five-parameter fit accurately. Of the remaining KOIs with a possible periodic signal, 90% have some other evidence suggesting that they are a stellar binary. Three KOIs remain: KOI-258.01 (most significant), 1465.01, and 1204.01 (least significant). The first two were also identified by the χ′2 analysis described in §3.1. KOI-258.01 appears to show a periodic pattern with amplitude ∼40 minutes and time scale of either ∼28 or 58 days, however there is also a hint of a secondary eclipse for KOI-258.01. For KOI-1465.01 the combination of a short transit duration and long cadence observations might have resulted in the PDC data having artifacts that render the TTs unreliable. For KOI-1204.01, there is only a hint of a periodicity and additional observations will be necessary to assess the significance of the putative signal. 4. Planet Candidates of Particular Interest In this section, we investigate KOIs of particular interest, including those which were identified as potentially having transit timing variations based on one of the statistical tests described in §3 and several in multiple transiting planet candidate systems. 4.1. Planet Candidates with Potential Transit Timing Variations We provide a summary of the planet candidates identified by our statistical tests in Table 5. For completeness sake, the table includes all planet candidates from B11 with at least three transits in Q0-2. However, we regard many as weak candidates. For a strong candidate, we typically require: 1) a S/N per transit of at least 4, 2) at least 5 TTs observed in Q0-2 for most tests, and 3) no indications of potential difficulties measuring the transit times (e.g., near data gap, short duration, PDC artifacts, heavily spotted star). When comparing the best-fit epochs, we require only three transits during Q0-2. Many of these candidates were identified by the χ′2 statistic which appears to provide a balance of sensitivity and robustness when searching for excess scatter in the present data set. Those detected by other tests have already been discussed in §3.2 & 3.3. As the number of transits observed by Kepler increases, it is expected that model fitting will eventually provide superior results (Ford & Holman 2007). For example, Kepler 9b&c, and Kepler 11b-f were confirmed by transit timing variations, but only Kepler-9c shows TTVs in the Q0-2 data. For Kepler-9b, the TTVs are not detectable during Q0-2, as the libration timescale (∼10 years) is much greater than the time span of observations (Holman et al. 2009). The TTVs of planets in Kepler-11 are much smaller and demonstrate the benefits of fitting a dynamical model to TTs of all planets simultaneously (Lissauer et al. 2011a). The analysis presented in this manuscript considers each candidate individually. For multi- candidate systems, it is possible that there exists a significant anti-correlation in TTV signals, even
  • 10. – 10 – though the individual signals do not reach the various significance thresholds given in Section 3. If the relationship between TTVs of multi-candidate systems can be proven to be non-random, it significantly weakens the probability that the candidate signals are due to false positives (Ragozzine & Holman 2010), even if the properties of the planets cannot be directly inferred. This method of confirming planets will become much stronger with additional data. 4.1.1. False Positives KOI 928.01 attracted the early attention of the Kepler Transit Timing Working Group, despite its low S/N per transit. A detailed analysis suggesting that this is likely a stellar triple system will be presented in Steffen et al. 2011. Several other single TTV candidates were identified as false positives and removed from the B11 planet candidate list. 4.1.2. Weak TTV Candidates KOIs 156.02, 260.01, 346.01, 579.01, 730.03, 751.01, 756.02, 786.01, 1019.01, 1111.01, 1236.02, 1241.02, 1396.02, 1508.01 and 1512.01 appear to have excess scatter based on the χ′2 test. However, the small S/N in each transit makes the TT measurements and uncertainties unreliable. Similarly, KOI 295.01, 339.02, 700.02, 800.02, and 834.03 appear to have a change in orbital period and/or epoch between Q0-2 and Q0-5, but may be affected by the small S/N in each transit. In particular, KOI 260.01, 346.01, 800.02, 1111.01, 1508.01 and 1512.01 appear to be affected by an outlier. Several relatively weak TTV candidates will receive further attention once more TTs are available. For example, KOIs 124.02, 148.03, 209.01 and 707.03 also appear to have excess scatter and have host stars with multiple transiting planet candidates. These planet candidates are less likely to be affected by random noise, given their higher S/N transits, but it is difficult to assess whether the scatter is significant, since they have only three or four TTs measured in Q0-2. Of the TTV candidates with only 3 or 4 transits observed in Q0-2, KOI 148.03, 279.01 and 377.02 stand out, as all three have host stars with multiple transiting planet candidates and a significant offset in epoch relative to the B11 ephemeris. This is suggestive of long-term trends emerging during Q0-5. Indeed, KOI 377.02 has already been confirmed as Kepler-9b (Holman et al. 2011). In the case of KOI 148.03, the scatter in the TTs of the other planet candidates is small, but there may be a feature in common near 160 days, perhaps due to dynamics. Clearly, a more detailed analysis incorporating TTs beyond Q0-2 is merited.
  • 11. – 11 – 4.1.3. Strong TTV Candidates Based on Q0-2 data, the largest timing variations for active planet candidates are KOIs 227.01, 277.01, 1465.01, 884.02, 103.01, 142.01, and 248.01 (starting with largest magnitude of TTVs). Each of these has well-measured transit times due to a high S/N in each transit, a transit duration of over three hours (minimizing complications due to long cadence and PDC corrections), and a star with limited variability. Each shows a clear trend of TTVs, indicating at least a period change between Q0-2 and Q0-5. For KOIs 142.02 and 227.01, the period derivative can be measured from Q0-2 data alone (see Table 4). Each of these candidates has been tested with centroid motion tests, high-resolution imaging (except 884 and 1465), and at least some spectroscopic observations. Only KOI 42 show any indications of the KOI being due to a blend with an eclipsing binary star. Given the large magnitude of the period derivatives, the transiting body must be strongly perturbed, by a companion that is massive, close and/or in a mean-motion resonance (MMR). Despite the clear timing variations, we do not consider these confirmed planets. Confirming them would require developing an orbital model that explains the observed TTVs and excludes possible false positives, as was done for Kepler-9d (Torres et al. 2011). For example, it is possible that some (or all) of these may be examples of physically bound triple systems consisting of the bright target star and a low-mass eclipsing binary. Eclipse timing variations are not uncommon in the Kepler Binary Star Catalog (Prsa et al. 2011; Slawson et al. ; Orosz et al. 2011). If this is the case, then it may eventually be possible to detect eclipses of additional bodies due to orbital precession, as observed in the triply eclipsing triple system, KOI- 126 (Carter et al. 2011). Indeed, some of the first KOIs investigated by the Kepler Transit Timing Working Group have timing variations of a similar magnitude and time scale but turned out to be triple systems (KOIs 646, 928). Since these systems were selected to have the largest amplitude TT variations during Q0-2, it would not be surprising if they were atypical of multiple transiting planet candidate systems. The Kepler Science Team will investigate these systems further to determine which are indeed planets and which are multiple star systems. If they are planets, then the planet radii are ∼ 2−3R⊕ , assuming stellar radii from the Kepler Input Catalog (Brown et al. 2011). Even if all turn out to be false positives, the timing variations will play a critical role in understanding the nature of these KOIs. Several other planet candidates were identified as having significant scatter in their TTs by the χ′2 test or a difference between our EL 2 ephemeris and the EL 5 ephemeris of B11. Further information for these is given in Table 5. A few, such as KOI 151.01 and 270.01, appear to have hints of a pattern in the TTs, but large timing uncertainties make interpretation difficult at this time. We expect that further TT observations will clarify which are real signals and enable confirmation and/or complete dynamical model modeling. One potential source of astrophysical false positives that could masquerade as planets with dynamical TTVs is an isolated star+planet (or eclipsing binary) combined with stellar activity and/or spots. This is a particular concern for planet candidates that appear to have excessive scatter of their TTVs, rather than a long-term trend or periodic pattern. The Kepler Follow-up Observation Program will be conducting a variety
  • 12. – 12 – of follow-up measurements to help eliminate potential false positives and likely confirming many of the multiple transiting planet candidates. 4.1.4. Strong TTV Candidates in Multiple Transiting Planet Candidate Systems Here we identify only planet candidates with a S/N per transit of at least 4, five or more TTs measured in Q0-2 and a host star with multiple transiting planet candidates: KOIs 137.02, 153.01, 244.02, 248.01, 270.01, 528.01, 528.03, 564.01, 658.01, 663.02, 693.02, 884.02, 935.01 and 954.01. For most of these, there is no obvious pattern in the TTVs, perhaps due to measurement errors, or perhaps due to a complex TTV signature. Visual inspection does reveal several planet candidates with tantalizing patterns in the observed TTs. KOI 884.02 shows the most pronounced pattern, with a min-to-max variation of over an hour within Q0-2. Any TTVs of KOI 884.01 are only suggestive at this time. The period ratio with KOI 884.01 is P884.02 /P884.01 = 2.17, slightly beyond the nominal 1:2 MMR. KOI 137.02 shows a significant shift in epoch between the EL 2 and EL 5 ephemerides. The variations in KOI 137.01 are not statistically significant on their own, but are suggestive. The period ratio with KOI137.01 is P137.02 /P137.01 = 1.94, slightly inside the nominal 1:2 MMR. A detailed analysis of this system will be presented in Cochran et al. 2011. KOI 244.02 shows a significant shift in epoch between the EL 2 and EL 5 ephemerides, but KOI 244.01 does not. The period ratio with KOI 244.01 is P244.02 /P244.01 = 2.04. KOI 663.02 and KOI 248.01 show significant shifts in both period and epoch between the EL 2 and EL 5 ephemerides. KOI 663.02 is not near a low-order period commensurability with another transiting planet candidate. KOI 248.01 is near the 3:2 MMR withi 248.02, with a period ratio P248.02 /P248.01 = 1.52. KOI 528.01 appears to have a long-term trend and/or a periodic pattern of TTVs with a ∼20-30 minute min-to-max in Q0-2. There are not sufficient transits of the other candidates in Q0-2 for a comparison of their TTVs. KOI 528.01 is slightly beyond the nominal 1:2 MMR with KOI 528.03 with a period ratio P528.03 /P528.01 = 2.15. KOI 270.01 could have a sizable TTV amplitude (∼40 minutes), but relatively large TT measurement uncertainties prevent such a pattern from being clearly recognized in the present data. The period ratio with KOI-270.02 is P270.02 /P270.01 = 2.68. 4.2. Candidate Multiple Transiting Planet Systems We discuss a few particularly interesting systems with multiple transiting planet candidates. In order to form an order-of-magnitude estimate of the magnitude of TTVs that are likely to arise
  • 13. – 13 – in systems with multiple transiting planets, we performed an n-body integration for each of these systems. We assume coplanar and circular initial conditions and assign masses according to Mp /M⊕ = (Rp /R⊕ )2.06 , (4) as described in Lissauer et al. (2011b). As the TTV signature can be very sensitive to masses and initial conditions (Veras et al. 2011), we do not expect that these simulations will accurately model the TTV observations. However, they can help us develop intuition for interpreting TT observations. 4.2.1. Non-detection of TTVs in Multiple Transiting Planet Candidate Systems Our n-body simulations of multiple transiting planet candidate systems indicate that we should not be surprised that many multiple transiting systems have not yet been detected by TTVs. For our assumed mass-radius relation and circular, coplanar orbits, only KOI 137.01 and 250.02 would have TTVs more than twice the median TT uncertainty and at least three transits during Q0- 2. Interestingly, we do not detect TTVs in either of these. One possible explanation is that the planets have smaller masses, resulting in TTVs with a smaller amplitude and/or longer timescale. Alternatively, the planets may have eccentricities that significantly affect the TTV signal during Q0- 2. Or, there may be additional non-transiting planets that significantly affect the orbital dynamics. Yet another possibility is that one or both of these KOIs are actually a blend of two planetary systems (or one planetary system and one background eclipsing binary), rather than multiple planets in a single planetary system. Since we chose these two systems based on the predicted TTV signature being among the largest during Q0-2, it would not be surprising if they were atypical of the multiple transiting planet candidate systems. Fortunately, simulations predict that the RMS amplitude will grow to over 17 (137.01) and 5 (250.02) times the median timing uncertainty, so further observations are very likely to resolve these systems. Looking at the predicted TTVs over the 3.5 year nominal mission lifetime for all the multiple transiting planet candidate systems, we find that at least 25 transiting planet candidates in 12 systems would be expected to have detectable TTVs. The number of multiple transiting planet systems with detectable TTVs could increase considerably if significant eccentricities are common (Steffen et al. 2010; Veras et al. 2011; Moorhead et al. 2011). 4.2.2. Dynamical Instability & Multiple Transiting Planet Candidate Systems Our n-body integrations show that the nominal circular, coplanar models of only three KOIs (191, 284 and 730) are violently unstable (Lissauer et al. 2011b). As it is unlikely that a (presumably old) planetary system would go unstable on a timescale much less than the age of the system, we presume that this is an artifact of our choice of masses and/or orbital parameters. This also
  • 14. – 14 – demonstrates the power of dynamical studies to help constrain the masses and orbits of systems of transiting planet candidates. Alternatively, these KOIs could be a blend of two stars, each with one transiting planet. This would be the natural conclusion, if a future, more thorough investigation were to find that all plausible masses and orbits would quickly result in instability. However, the close commensurabilities of the orbital periods of the planet candidates in KOI 191 (5:4) and 730 (6:4:4:3) make it extremely unlikely for these to be blend scenarios. The dynamics of systems like KOI-730 is discussed in Fabrycky et al. (in prep). Assuming KOI 191, 284 and 730 are stable multiple transiting planet systems, they could have very large TTVs due to their strong mutual gravitational interactions that place them near the edge of instability. As the time span of Kepler TT observations increases, TTVs become increasingly sensitive to the masses and orbits of such planetary systems. 4.2.3. Specific Systems We do not analyze KOI 377 (Kepler-9; Holman et al. 2010), KOI 72 (Kepler-10; Batalha et al. 2011) or KOI 157 (Kepler-11; Lissauer et al. 2011a) further, as more thorough analyses have already been published using data beyond Q0-2. KOI-500 hosts five transiting planet candidates. If confirmed, they would be even more tightly packed than the planets of Kepler-11 and would indicate that planetary systems like Kepler-11 are not extremely rare (Lissauer et al. 2011b). The TTs during Q0-2 are shown in Fig. 2. KOI 500.01 was identified as a TTV candidate due to the difference in the best-fit epoch during Q0-2 from that during Q0-5, as reported in B11. While the apparent discrepancy is suggestive, the Q0-2 data is not sufficient to confirm the planetary nature of the KOI. This is not surprising as confirming 5 of the 6 planets orbiting Kepler-11 with TTVs required data extending over Q0-6 (Lissauer et al. 2011a). Fortunately, the nominal model predicts that much larger TTVs (∼hour) will become apparent for four of the 5 planet candidates in future Kepler data. The large amplitude is very likely related to the near period commensurabilities of the orbital periods of the outer four planet candidates (4:6:9:12). Each neighboring pair of planets has a period ratio slightly greater than the nominal MMR, as is typical for near-resonant systems identified by Kepler (Lissauer et al. 2011b). Further, each pair deviates from the nominal resonance by a similar amount, strongly suggesting that the four bodies are dynamically interacting. Unfortunately, Kepler ’s nominal mission lifetime is shorter than the dominant timescale of TTVs predicted for KOI-500. In order to establish that a TTV signal is periodic, one needs to observe ≥ 2 cycles. Hopefully, the Kepler mission can be extended, as the increased time baseline would dramatically enhance the sensitivity of TTV observations to the planet masses and orbital parameters.
  • 15. – 15 – 5. Discussion 5.1. Precision of Transit Times from Kepler Our analysis of TT measurements during Q0-Q2 demonstrate that Kepler is capable of provid- ing precise transit times which can be expected to enable the dynamical confirmation of transiting planet candidates and detection of non-transiting planets. After discarding those planet candidates with S/N per transit of less than 4 or just a few transits in Q0-2, the median absolute deviation (MAD) of transit times from a linear ephemeris during Q0-2 is as small as ∼20seconds for Jupiter- size planets, and 1.5 minutes for Neptune and super-Earth-size planets. The median (taken over planet candidates) MAD of TTs is approximately ∼11 minutes for super-Earth-size planets, ∼6.5 minutes for Neptune-size planets, and ∼1.5 minutes for Jupiter-size planets. Since large planets can be detected around fainter stars at low signal-to-noise, each class includes some candidates with relatively poor timing precision (up to an hour). All the TT measurements presented in this paper were based on LC data only and were performed in a semi-automated fashion. Experience with systems subjected to detailed TTV studies suggests that TT precision could often be significantly improved, if individual attention to devoted to mitigating systematic and choosing which transits yield the best templates. This work can serve as a broad, but shallow survey of Kepler planet candidates. Our results can help scientists choose the most interesting systems for follow-up work to perform more detailed light curve modeling (as well as other types of follow-up such as observations from other observatories, theoretical investigations and observations using short cadence mode). At any time Kepler collects photometry in short cadence mode (≈ 1 minute samples) for a small fraction of its targets. In some cases, short cadence data may further improve timing precision. It is expected that the differences in the times and errors inferred from the two data types are small for purely white, Gaussian noise and adequate transit phase coverage. However, when either precondition is not met, the accuracy of TTs can depend on whether LC or SC data are used. Short cadence times show improved accuracy and smaller errors for situations where the ingress/egress phases are short in duration and largely unresolved in the long cadence photom- etry. In the case of KOI-137, this improvement is significant, with timing errors differing by nearly a factor of two at some epochs. In a similar vein, the short cadence times are more robust against deterministic (as opposed to stochastic) trends that have characteristic timescales less than the long cadence integration time. In particular, brightening anomalies occurring during transit associated with the occultation of a cool spot on the star by the planet will be unresolved with long cadence photometry and will likely result in a timing bias. For several planet candidates, the orbital period is a near multiple of the long cadence inte- gration time. The result is sparse transit phase coverage that is not improved as the number of observed epochs increases. In these cases, the short cadence photometry provides a more complete phase coverage and, subsequently, times with smaller error bars.
  • 16. – 16 – For low signal-to-noise transit events, stochastic temporally-correlated noise may dominate on short cadence timescales. As a result, the short cadence timing uncertainties may be unrealistically optimistic if they were inferred assuming a “white” noise model. Here, the long cadence photometry will give more reliable errors when assessed with the same noise model by effectively averaging over high frequency noise. Short cadence times estimated for Kepler-10b seem to be affected by correlated noise, under the expectation of a linear ephemeris, given the relatively small timing errors and the relatively large deviates (compared to the long cadence times). 5.2. Frequency of TTV Signals & Multiple Planet Systems While TTVs have been used to confirm transiting planet candidates, TTVs have yet to provide a solid detection of a non-transiting planet. In principle, one strength of the TTV method is that it is sensitive to planets which do not transit the host star (Agol et al. 2005; Holman & Murray 2005). A longer time baseline will be required before TTVs yield strong detections. Yet, we can already use the multiple transiting planet candidate systems and the number of preliminary TTV signals to estimate the frequency of multiple planet systems. Doppler planet searches find that systems with multiple giant planets are common (≥ 28%; Wright et al. 2009). Kepler is probing new regimes of planet mass and orbital separation, so it will be interesting to compare the frequency of multiple planet systems among systems surveyed by Doppler and Kepler observations. B11 estimates the false alarm rate of Kepler planet candidates to range from ≤ 2% for the confirmed planets (“vetting flag”=1) to ≤ 20% for well-vetted candidates (vetting flag=2) to ≤ 40% for those that are yet to be fully vetted (vettting flag=3 or 4). Morton & Johnson (2011) use the specifications for Kepler to predict that even incomplete vetting could result in a false positive rate of less than ∼10% for planet candidates larger than 1.3R⊕ and a typical host star. The most common mode of false positive involves a blend of multiple stars which are closely superimposed on the sky (Torres et al. 2011). Contriving such scenarios for KOIs with multiple planet candidates is more difficult. The odds of three or more physically unassociated stars being blended together is extremely small. In many cases, requiring dynamical stability excludes the possibility of multiple transit-like events being due to a multiply eclipsing star systems. The most common types of false positives for a candidate multiple transiting systems are expected to be either a blend of two stars each with one transiting planet or a blend of one star with a transiting planet and one eclipsing binary (Torres et al. 2011). Even these scenarios become highly improbable for pairs of planets that are close to a MMR. Thus, candidate multiple transiting planet systems, and especially near-resonant candidate multiple planet systems, are expected to have very few false positives (Holman et al. 2010; Fabrycky et al. 2011; Lissauer et al. 2011b). Given the low rate of expected false positives, we can use the frequency of stars with multiple transiting planet candidates to estimate a lower bound on the frequency of systems with multiple planets (with sizes and orbits detectable by Kepler using the present data), assuming that all systems are coplanar. Table 1 lists the number of stars with at least one transiting planet candidate
  • 17. – 17 – Table 1. TTV Candidates & Transiting Planet Candidates Ncps a Nst b Ntr c Ntr d Ntr e Ntr f NTTV g NTTV h NTTV i % TTVj % TTVk % TTVl s4n3 s3n5 s4n5 s4n3 s3n5 s4n5 s4n3 s3n5 s4n5 1 809 809 462 453 371 95 59 45 21% 13% 12% 2 115 230 121 110 83 24 16 13 20% 15% 16% 3 45 135 71 67 57 14 8 6 20% 12% 11% 4 8 32 15 14 10 2 1 1 13% 7% 10% 5 1 5 2 3 2 1 1 0 50% 33% 0% 6 1 6 4 3 3 0 0 0 0% 0% 0% All 979 1217 675 650 526 136 85 65 20% 13% 12% Note. — Number and fractions of systems with evidence showing for TTVs separated by the number of transiting planet candidates in the system a Number of candidates per star b Number of stars c Number of transiting planet candidates (only those used for this analysis) d Number of transiting planet candidates with a S/N per transit ≥ 4 and at least 3 transits in Q0-2 e Number of transiting planet candidates with a S/N per transit ≥ 3 and at least 5 transits in Q0-2 f Number of transiting planet candidates with a S/N per transit ≥ 4 and at least 5 transits in Q0-2 g Number of transiting planet candidates from s4n3 sample that show indications of TTVs h Number of transiting planet candidates from s3n5 sample that show indications of TTVs, excluding epoch offset test i Number of transiting planet candidates from s4n5 sample that show indications of TTVs, excluding χ′2 test j% of planets from s4n3 sample that show indications of TTVs k% of planets from s3n5 sample that show indications of TTVs, excluding the epoch offset test l% of planets from s4n5 sample that show indications of TTVs, ecluding χ′2 test
  • 18. – 18 – (Nst ) and the number of transiting planet candidates (Ntr ), separated by the number of candidates per star (Ncps ). The probability that at least two coplanar candidates transit for a randomly positioned observer is simply R⋆ /a(2) , where a(2) is the semi-major axis of the planet with the second smallest orbital period. Among the planet candidates in B11, the average a/R⋆ for single planet candidates is ∼30. For stars with two (multiple) transiting planet candidates, the average a(2) /R⋆ is 44 (39). Thus, the difference in the detection rates due to purely geometric considerations would be modest. The fraction of Kepler planet candidate host stars with at least two (exactly two) transiting planets (with sizes and orbits detectable by Kepler using the present data) is at least ∼23% (17%). For stars with at least three transiting planet candidates, the average a(3) /R⋆ is 50, so the fraction of Kepler planet candidate host stars with at least three similar transiting planets is at least ∼ 9.4%. Such a high occurance rate of multiple candidate systems requires that there be large numbers of systems with one transiting planet where additional (more distant) planets are not seen to transit, even in the most conservative coplanar case. Of course, the true rates of multiplicity could be much higher, if systems have significant mutual inclinations. Lissauer et al. (2011b) provide more detailed analysis of the observed rate of multiple transiting planet systems and its implications for their inclination distribution and multiplicity rate. Next, we make use of the fact that TTV observations are sensitive to non-transiting planets. Table 1 includes multiple values of the number of planet candidates (NTTV ) that were identified as likely having TTVs by various sets of tests described in §3 and the number of planet candidates which these tests were applied to (Ntr ). We evaluate the robustness of our results by applying various sets of tests for TTVs to different samples of planet candidates. In Table 1 the columns labeled sSnN refer only to planet candidates with a single transit S/N of at least S and at least N TTs measured during Q0-2. Some planet candidates in the s4n3 sample have too few transits to apply the χ′2 test, F -test and period comparison test. Similarly, for the epoch and period comparison tests, we required a S/N per transit of at least 4, so these tests were not applied to all the planet candidates in the s3n5. The s4n5 sample is the smallest, but is the least likely to result in false alarms when searching for TTV signals. To further reduce the risk of false alarms, we do not include the χ′2 test for excess scatter when analyzing the s4n5 sample. The columns labeled “% TTV” give the fraction of planet candidates that were identified by the tests for TTVs that were applied to the given sample. We find that ∼13-20% of planet candidates suitable for TTV analysis show some evidence for TTVs, depending on the tests applied (see Table 1). We obtain similar rates when we consider only systems with Ncps = 1 − 3 transiting planet candidates. For Ncps ≥ 4, the accuracy of the resulting rates are limited by small number statistics. Of planet candidates which are near a 1:2 MMR with another planet candidate, 25% show some evidence for a long-term trend. This could be due to planets near the 1:2 MMR being more likely to have large TTVs, but we caution that this results is based on a small sample size and an early estimate for the frequency of TTVs.
  • 19. – 19 – Regardless of which sample and tests are chosen, we do not find significant differences in the fraction of planet candidates which show TTV signals as a function of Ncps . This suggests stars with a single transiting planet are nearly as likely to have additional planets that cause TTVs, as stars with multiple transiting planets are to have masses and orbits that result in detectable TTVs. Since large TTVs most naturally arise for systems that are densely packed and/or have pairs of planets in or near a MMR, a system with a single transiting planet that shows TTVs is likely to have a significant dispersion of orbital inclinations. A dispersion of inclinations has the effect of increasing the probability that a randomly located observer will observe a single planet to transit and decreasing the probability of observing multiple planets to transit. Thus, a dispersion of inclinations may help explain the relatively small frequency of systems with two transiting planet candidates relative to the frequency of systems with one transiting planet candidate. However, simply increasing the inclination dispersion to match the ratio of two transiting planet candidate systems to one transiting planet candidate systems fails to produce the observed rate of systems with three or more transiting planet candidates. This suggests that a single population model is insufficient to explain the observed multiplicity frequencies (Lissauer et al. 2011b). 5.3. Frequency of False Positives and Planets in Close Binaries The small fraction of systems with very large TTVs is consistent with the notion that the Kepler planet candidate list has a small rate of false positives. In particular, physically bound triple systems are one of the most difficult types of astrophysical false positives to completely eliminate (i.e., an eclipsing binary that is diluted by light from a third star). In many cases, wide triple systems would be recognized based on centroid motion during the transit (B11). For KOIs that are not near the threshold of detection there is a relatively narrow range of orbital periods that would escape detection by the centroid motion test and be dynamically stable (for stellar masses). In many cases, such a triple system would exhibit eclipse timing variations, as are often seen in the Kepler binary star catalog (Prsa et al. 2011; Slawson et al. 2011; Orosz et al. 2011). We identify only a handful of systems with large period derivatives that are consistent with a stellar triple system. This suggests that the Kepler planet list contains few physical triple stars with eclipsing timing variations and that Kepler planets are rarely in a tight binary systems. 5.4. Future Prospects for TTVs We identify over 60 transiting planet candidates that show significant evidence of TTVs, even on relatively short timescales. Even for the early TTV candidates identified here, an increased number of transits and time span of Kepler observations will be necessary before TTVs can pro- vide secure detections of non-transiting planets. Additionally, follow-up observations to determine the stellar properties and reject possible astrophysical false positives will also be important for confirming planets to be discovered by TTVs.
  • 20. – 20 – We expect the number of TTV candidates to increase considerably as the number and timespan of Kepler observations increase. For non-resonant systems (e.g., Kepler-11), TTV typically have timescale of order the orbital period, but relatively small amplitudes (Nesvorn´ 2009; Veras et y al. 2011). In this case, Kepler will be most sensitive when the planets are closely spaced (e.g., Kepler-11). Our analysis of TTs during Q0-2 identified no periodic signals at a confidence level of ≤ 0.01. When searching for a simple periodic signal in time series, the minimum detectable signal decreases dramatically as the number of observations increases beyond ∼12 observations and continues to decrease faster than classical ∼ N −1/2 scaling even as the number of observations grows to ∼40 observations. Thus, over the 3.5 year nominal lifetime of Kepler the increased number of TT observations will significantly improve Kepler’s sensitivity to closely spaced, non-resonant systems. In this regime, Kepler will be most sensitive to TTVs of short-period planets, since they will provide enough transits during the mission lifetime to detect a periodic signal. Some TTV candidates identified by Kepler will become targets for ground-based follow-up in the post-Kepler era. For planetary systems near a MMR (e.g., Kepler-9), both the amplitude and timescale of the TTVs can be quite large. Fortunately, continued observations provide the double benefit of increased number of observations and an increasing signal size. To illustrate this point, we used n-body integrations to predict the RMS TTV of multiple transiting planet candidate systems identified in B11 for a nominal circular, coplanar model (see Fig. 3). During Q0-2 less than 2% had a TTV signature with an RMS more than 10 minutes, but the fraction grows to over 10% over the 3.5 year mission lifetime. Both this result and the ∼12% of suitable planet candidates showing evidence for a long-term drift in TTs suggest that the TTV method will become a powerful tool for detecting non-transiting planets as well as confirming transiting planets. For systems with multiple transiting planets, the additional information makes the interpretation of TTVs even more powerful for confirming their planetary nature and that they orbit the same host star (e.g., Holman et al. 2010; Lissauer et al. 2011a). With continued observations, TTVs become very sensitive to the planet mass and orbital parameters. Based on the distribution of orbital periods of Kepler transiting planet candidates in B11, at least ∼16% of multiple transiting planet candidate systems contain at least one pair of transiting planets close to a 2:1 period commensurability (1.83 ≤ Pout /Pin ≤ 2.18). If we assume that planets near the 1:2 MMR are nearly coplanar, then true rate of detectable planets near the 1:2 MMR (if both had a favorable inclination) is at least ∼ 25%. If a significant fraction of these systems are not in the low inclination regime, then the true rate of pairs of planets near the 1:2 MMR would be even larger (Lissauer et al. 2011b). This rate is approximately double the rate of systems that show TTVs basd on our initial analysis of early Kepler data, implying that the number of systems with TTVs could double over the course of the mission. In conclusion, transit timing is extremely complimentary to Doppler observations form con- firming planets. On one hand, transit timing only works for planets with detectable TTVs. On the other hand, TTVs can be quite sensitive to low-mass planets that are extremely challenging for
  • 21. – 21 – Doppler confirmation. Additionally, TTVs are likely to be particularly useful for confirming some of the Kepler planet candidates with host stars that are problematic for confirmation via Doppler observations (e.g., faint stars, active stars, hot and/or rapidly rotating stars). Of particular interest for the Kepler mission is whether the transit timing method might be able to discover or confirm rocky planets in the habitable zone. Due to the TT uncertinaties for Earth-size planets, a detection of TTVs of the rocky planet itself would require a large signal which is only likely if the small planet is near a resonance with another planet. Further complicating matters, planets in the habitable zone will have only a few transits for solar-mass stars. Fortunately, Kepler is detecting many systems with multiple transiting planets, which would open the door to TT measurements of both the planet in the habitable zone and an interior planet (see Fig. 4). Indeed, Kepler has identified over a dozen planet candidates that are in or near the habitable zone and are associated with stars that have multiple transiting planet candidates. In most cases, the period ratio between the transiting planet candidates is large, so the TTVs could be small (unless there are additional non-transiting planets). However, N-body integrations suggest that continued Kepler observations of several pair could prove very useful for confirming (or rejecting) these planet candidates based on TT. Of course, many other stars with a planet candidate in or near the habitable zone may harbor additional non-transiting planets. The distribution of period ratios of Kepler transiting planet candidates shows that planets near the 1:2 and 1:3 MMR are common. For reference, Kepler-9 b & c were confirmed on the basis on 9(b)+6(c)=15 TT observations. Obtaining 15 TTs for two planets in a 1:2 MMR requires observing for 5 times the orbital period of the outer planet. Thus, it is feasible that a transiting planet in the habitable zone identified by Kepler could be confirmed using TTVs, provided that there is another transiting planet near an interior MMR and that the Kepler mission were extended to ≥ 6 years. The prospects improve significantly for stars less massive than the sun, thanks to the shorter orbital period at the habitable zone. Funding for this mission is provided by NASA’s Science Mission Directorate. We thank the entire Kepler team for the many years of work that is proving so successful. We thank David Latham for a careful reading of the manuscript. This material is based on work supported by the National Aeronautics and Space Administration under grant NNX08AR04G issued through the Kepler Participating Scientist Program. This material is based upon work supported by the National Science Foundation under Grant No. 0707203. Facilities: Kepler. REFERENCES Agol, E., Steffen, J., Sari, R., & Clarkson, W. 2005, MNRAS, 359, 567
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  • 23. – 23 – Torres, G., et al. 2011, ApJ, 727, 24 Veras, D., Ford, E. B., & Payne, M. J. 2011, ApJ, 727, 74 Wright, J. T., et al. 2011, arXiv:1101.1097 This preprint was prepared with the AAS L TEX macros v5.2. A
  • 24. – 24 – Fig. 1.— Median absolution deviation of transit times from the ephemeris of B11 versus the median uncertainty in transit time observations during Q0-2. Systems with one planet candidate are marked with an X, and multiple planet systems are marked with a (red) disk.
  • 25. – 25 – Fig. 2.— Transit timing observations (points, left column only) and the TTVs predicted by n-body integrations (lines). This is not a fit, but rather the output for a nominal circular orbital model (Lissauer et al. 2011). The right-hand column shows the predictions over 7-years, while the left- hand column zooms in on the first two quarters reported here. Rows are for KOI 500.03 (top), 500.04 (upper middle), 500.01 (lower middle) and 500.02 (bottom). KOI 500.05 is not shown, as the TT error bars are ∼hour and the model TTVs are less than a second.
  • 26. – 26 – 1 Q0-2 3.5 yr 0.9 0.8 0.7 Cumlative Fraction 0.6 0.5 0.4 0.3 0.2 0.1 0.01 0.1 1 10 100 1000 10000 RMS TTV (minutes) Fig. 3.— Cumulative distribution of the predicted RMS TTVs for systems of multiple transiting planets over the four months of Q0-2 (solid) and the 3.5 years mission lifetime (dashed). The predictions are based on n-body integrations starting from coplanar and circular orbits. Actual TTV amplitudes could be much higher for even modest eccentricities. Even for the case of all circular orbits, over half have a TTV amplitude that is measurable with ground-based follow-up. At least 10% of current multiple transiting planet candidates are expected to have amplitudes of ∼10 minutes or more, allowing for detailed dynamical modeling based on TTV observations.
  • 27. – 27 – Fig. 4.— Orbital periods and stellar masses for which confirmation of a transiting planet in the habitable zone is practical. The x-axis is the orbital period of a transiting planet (Ptr ), limited by the nominal mission lifetime (DKep =3.5 years). The black curve approximate the orbital periods corresponding to the inner and outer edge of the habitable zone. The solid (dashed) magenta lines indicate the orbital period beyond which Kepler would observe no more than 5 (10) transits during DKep . It would be extremely difficult to interpret TTVs for planets to the right of these curves. The solid (dashed) blue curves indicate the orbital period of a planet near the 1:2 (1:3) MMR with the inner and outer edges of the habitable zone. A second planet significantly to the left of the blue curves will not typically result in detectable TTV signature due to interactions with a planet in the habitable zone. The solid (dashed) line indicates the stelar mass (M⋆ ) above which the orbital period at the inner (outer) edge of the habitable zone exceeds DKep . The most promising prospects for TTVs confirming a planet in the habitable zone involve a system with one transiting planet in the habitable zone (between black curves) and a second transiting planet that is between the blue
  • 28. – 28 – Table 2. Transit Times for Kepler Transiting Planet Candidates during Q0-2 KOI n tn TTVn σn BJD-2454900 (d) (d) 1.01 0 65.645036 -0.000204 0.000073 1.01 1 68.115649 -0.000058 0.000051 1.01 2 70.586262 -0.000001 0.000079 1.01 3 73.056875 -0.000042 0.000186 1.01 4 75.527488 0.000045 0.000098 1.01 5 77.998101 -0.000020 0.000103 1.01 6 80.468714 -0.000041 0.000071 1.01 7 82.939327 -0.000091 0.000080 1.01 8 85.409940 0.000004 0.000074 1.01 9 87.880553 -0.000123 0.000054 Note. — Table 2 is published in its entirety in the electronic edition of the Astrophysical Journal. A portion is shown here for guidance regarding its form and content. We also intend to make an elec- tronic version avaliable online prior to publication at: http://astro.ufl.edu/~ eford/data/kepler/
  • 29. Table 3. Metrics for Transit Timing Variations of Kepler Planet Candidates. (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 1.01 0.2 0.1 0.1 2.4 0.99999727 0.1 0.1 2.5 0.99989265 1.3 1.1 2.01 0.3 0.2 0.3 0.7 0.66745223 0.1 0.3 0.8 0.99935567 1.4 1.4 3.01 0.7 0.3 0.4 3.2 0.99982414 0.3 0.4 3.1 0.99929283 1.2 0.6 4.01 3.5 2.4 3.5 8.6 0.84167045 2.8 3.4 9.4 0.35265519 0.0 2.4 5.01 1.9 1.4 1.6 3.1 0.711099 1.7 1.5 3.0 0.11421086 2.2 0.6 7.01 3.5 2.1 3.4 18.3 0.98587454 2.1 3.2 15.8 0.97553341 1.5 1.4 10.01 0.8 18.3 21.0 35.2 0 6.2 7.1 12.7 0.015052582 2.6 12.01 1.0 0.7 1.3 2.1 0.60479879 0.7 0.7 1.0 0.28837559 0.8 1.3 13.01 4.1 0.8 3.1 20.9 1 0.9 3.0 19.7 1 0.5 3.0 17.01 0.7 0.3 0.3 0.5 0.93944266 0.3 0.3 0.5 0.85296174 0.3 1.1 18.01 0.7 0.9 1.0 1.7 0.030577461 0.4 0.5 0.8 0.65314361 0.3 2.2 – 29 – 20.01 0.5 0.3 0.5 1.5 0.90732023 0.4 0.5 1.4 0.71942255 0.6 0.6 22.01 0.6 0.5 1.0 4.2 0.22568081 0.2 0.9 4.6 0.99376928 1.6 0.8 41.01 9.4 9.1 9.2 19.3 0.14659777 7.2 8.0 22.8 0.32234503 0.2 0.4 42.01 4.7 14.7 14.8 19.7 4.00E-15 3.1 3.5 5.3 0.33467081 1.3 0.5 46.01 4.3 1.6 5.6 15.4 0.99998638 1.7 5.6 15.3 0.99987464 0.2 0.2 49.01 7.4 4.9 5.7 12.7 0.73992243 2.2 3.6 7.9 0.99415475 0.1 0.6 51.01 2.0 0.5 0.9 1.9 0.96389448 0.5 0.7 1.4 0.61883068 17.3 0.0 63.01 3.2 1.2 2.7 19.5 0.98868323 1.3 2.5 17.2 0.92756729 1.4 0.1 64.01 3.8 2.3 3.5 9.4 0.99640901 2.4 3.3 9.0 0.98389423 1.8 0.1 69.01 3.1 2.2 3.1 6.2 0.73181601 2.4 3.1 5.7 0.47472802 0.6 0.2 70.01 3.0 3.2 4.2 10.4 0.061133419 2.8 3.6 11.4 0.10361429 0.9 1.9 70.02 6.7 4.6 7.3 57.6 0.86573929 5.0 7.0 55.0 0.55873677 0.4 2.8 70.04 33.7 6.6 37.7 138.1 1 9.3 37.4 136.7 0.99999533 0.6 0.8 72.01 8.2 6.0 9.4 48.5 0.91550494 6.4 9.4 48.3 0.55708987 0.9 0.9 72.02 4.9 0.4 0.7 1.1 0.99812806 0.0 0.0 0.1 0.99496589 3.4 2.3 82.01 3.2 4.1 4.2 6.0 0.017313477 4.1 4.0 5.2 0.003764048 0.4 0.7 82.02 9.0 5.0 12.0 111.4 0.931708 4.2 11.1 114.8 0.9520552 0.2 0.8 84.01 3.5 1.9 3.4 11.5 0.93794108 2.3 2.9 7.5 0.63089441 1.6 1.5 85.01 5.0 2.7 4.5 11.0 0.98441823 2.4 4.0 10.2 0.98986235 1.0 1.0 85.02 52.4 10.6 22.2 112.3 1 12.7 22.1 115.3 1 0.7 0.1 85.03 15.0 9.7 21.2 44.6 0.82709803 8.5 21.2 46.4 0.86674621 0.1 0.6
  • 30. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 94.02 9.5 13.0 13.0 15.6 0.032338604 12.3 12.5 13.1 0.005123416 317.0 13.6 97.01 0.8 0.4 0.5 1.4 0.99648639 0.4 0.5 1.1 0.98688162 0.5 0.6 98.01 4.9 0.7 1.5 3.2 1 0.7 1.3 3.0 1 0.5 0.1 100.01 6.7 5.9 6.0 12.5 0.25415671 4.7 4.9 14.8 0.49515881 2.5 1.5 102.01 3.0 1.8 3.0 7.8 0.99847261 1.7 2.8 8.2 0.99971355 1.1 0.9 103.01 4.6 23.5 24.9 36.2 0 1.7 4.9 15.9 0.90263724 10.1 4.2 104.01 5.9 1.9 6.4 26.0 1 2.1 6.3 27.1 0.99999972 0.1 0.4 105.01 3.3 2.3 3.1 7.3 0.69657599 1.9 2.9 6.7 0.79593361 0.5 0.4 107.01 6.6 4.4 4.8 11.0 0.81665114 4.6 4.4 10.7 0.63276108 0.9 1.1 108.01 5.1 2.4 2.5 4.3 0.94863752 2.2 2.5 4.4 0.88138773 0.6 0.2 110.01 4.8 2.2 3.6 16.8 0.98650951 2.5 3.6 16.4 0.89613764 0.5 0.4 111.01 5.8 3.4 4.5 9.2 0.86038256 3.6 4.4 9.1 0.64421757 0.1 0.0 – 30 – 111.02 6.5 7.2 8.3 13.7 0.080308799 8.7 8.2 12.9 0.002192174 0.6 0.5 112.02 18.5 12.6 22.5 63.1 0.85910829 11.8 22.2 64.8 0.90299725 0.8 0.6 115.01 5.1 1.3 3.7 15.7 0.99999994 1.2 3.7 15.7 0.99999988 0.2 0.1 115.02 13.6 4.0 9.2 19.4 0.99996113 5.2 8.9 21.7 0.99602082 0.2 0.1 116.01 7.5 8.4 7.7 15.6 0.048012264 3.0 5.1 14.9 0.91819163 1.6 1.1 116.02 7.3 2.8 6.4 10.6 0.86961288 4.4 5.7 8.0 0.18353792 1.6 0.6 117.01 8.7 5.0 8.2 13.4 0.82915219 3.2 5.2 14.3 0.91921374 2.0 0.0 117.02 21.5 8.8 21.2 60.1 0.99984958 16.2 19.2 51.2 0.4905386 0.6 0.9 117.03 20.7 13.9 36.7 150.0 0.90373914 18.4 36.2 141.4 0.097261158 0.6 1.1 117.04 83.5 45.6 96.7 449.7 0.96254145 56.1 92.8 421.1 0.65775779 0.1 1.4 118.01 12.9 5.4 8.5 15.6 0.92651619 4.5 8.2 15.2 0.81099207 0.6 0.7 122.01 5.3 2.2 5.0 10.2 0.9851732 4.2 4.7 7.6 0.27010843 1.0 0.1 123.01 8.0 3.6 11.5 37.8 0.99705529 6.4 10.1 30.0 0.31744605 1.4 1.6 123.02 7.3 2.4 6.8 13.1 0.98531875 6.8 6.2 10.5 0.081870505 0.9 0.3 124.01 13.6 10.9 15.3 43.8 0.43374707 5.3 14.7 43.4 0.96782263 1.0 0.3 124.02 8.8 8.3 7.5 9.0 0.23188899 7.9 6.8 8.8 0.080674869 1.6 0.7 127.01 0.7 0.4 0.7 1.8 0.9945318 0.4 0.7 1.9 0.97383084 2.3 0.3 128.01 0.6 0.5 0.6 2.0 0.78208277 0.4 0.6 2.0 0.79957506 0.3 1.5 131.01 1.2 2.1 2.5 6.5 2.62E-09 1.0 1.3 4.8 0.3515113 0.6 1.5 135.01 1.0 0.7 1.2 5.0 0.65077067 0.7 1.1 5.3 0.5818778 3.0 1.3
  • 31. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 137.01 2.1 2.1 3.0 31.7 0.062049934 1.7 2.4 32.9 0.27840051 2.5 1.2 137.02 1.9 1.3 2.1 4.2 0.59047062 1.7 1.6 2.9 0.12931018 1.2 6.0 137.03 15.3 11.4 16.7 45.7 0.66658325 10.7 16.4 52.1 0.7311264 0.9 0.6 139.02 31.7 13.4 30.0 98.0 0.99999122 18.8 29.1 81.2 0.97306244 0.9 0.2 141.01 2.4 1.4 2.1 5.5 0.99001857 1.4 2.0 6.0 0.98610276 0.7 0.2 142.01 4.3 19.8 19.1 29.4 0 13.3 11.4 18.1 0 8.2 12.6 144.01 5.2 4.9 5.8 18.3 0.070405945 4.6 5.7 17.2 0.11307597 0.2 0.7 148.01 9.5 5.0 8.1 21.7 0.99463961 5.1 7.8 20.5 0.98479452 0.7 0.9 148.02 4.5 2.9 5.5 18.8 0.7801617 3.0 5.3 16.8 0.57864979 2.5 2.6 148.03 9.8 10.7 9.2 22.0 0.12958845 0.1 0.1 0.1 0.98595413 2.9 12.3 149.01 6.3 2.8 5.3 12.8 0.96157323 2.0 2.8 6.6 0.97222511 0.0 0.2 150.01 6.5 2.9 3.5 7.1 0.99313616 3.2 3.4 6.9 0.9449915 0.1 0.0 – 31 – 150.02 8.9 4.2 5.4 10.5 0.85116977 5.6 5.2 8.8 0.28966722 0.2 0.1 151.01 6.3 10.6 9.0 17.1 2.48E-06 3.0 4.1 11.4 0.89586618 4.6 0.2 152.02 9.7 6.9 7.9 11.6 0.55549867 3.0 3.3 5.4 0.85934384 1.5 0.2 152.03 12.4 6.3 9.1 17.1 0.92038904 4.8 5.9 11.6 0.93186358 1.3 0.4 153.01 5.6 4.5 7.2 14.4 0.41842245 7.3 6.6 10.5 0.000395973 1.2 0.6 153.02 7.1 3.9 8.4 45.7 0.99050896 4.0 8.1 43.5 0.97253653 1.3 0.5 155.01 7.0 3.1 5.9 30.2 0.99868204 2.9 5.9 30.6 0.9985353 0.8 0.5 156.01 9.7 8.4 11.1 22.8 0.28723819 8.7 9.5 26.6 0.13045819 1.6 1.3 156.02 14.4 18.2 27.8 109.4 0.000169556 13.6 26.5 109.6 0.062392491 2.0 1.1 156.03 4.1 1.2 2.3 6.9 0.99868967 1.2 2.2 6.1 0.99217569 0.3 0.8 157.01 7.2 7.1 9.8 16.8 0.12524872 4.7 9.1 16.9 0.55750364 1.2 0.2 157.02 6.6 4.4 4.0 6.8 0.63513028 4.2 4.0 6.8 0.37599593 0.4 1.9 157.03 4.0 6.3 6.2 9.4 0.003886391 1.5 1.7 3.4 0.63961181 3.3 0.5 157.06 18.0 15.3 18.1 44.0 0.32621514 14.6 17.9 42.3 0.2444876 0.4 0.1 159.01 9.1 8.9 11.6 29.2 0.11180289 6.4 11.3 26.8 0.51655727 0.1 0.6 161.01 3.9 2.6 4.0 15.4 0.91981851 2.4 4.0 15.2 0.96594571 0.6 0.6 162.01 8.5 5.0 6.8 14.6 0.84076704 5.1 6.8 14.7 0.65762625 0.5 0.5 163.01 7.0 6.2 11.0 52.2 0.2466841 5.5 10.7 47.6 0.30418995 0.3 1.1 165.01 7.0 5.8 6.5 10.5 0.36402274 4.3 6.1 12.3 0.58545823 0.2 0.3 166.01 7.1 9.4 11.5 21.3 0.002517424 9.0 8.0 16.7 0.00149333 3.0 1.6
  • 32. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 167.01 9.8 7.0 12.1 30.9 0.73217302 6.8 12.0 31.0 0.7092131 0.9 0.4 168.01 13.1 6.9 16.3 50.6 0.93800877 6.6 14.5 39.9 0.88536273 1.6 4.0 168.02 47.8 39.5 69.7 213.9 0.36947977 40.2 69.2 218.6 0.2215729 0.5 0.4 168.03 44.6 24.9 44.4 81.4 0.94596753 28.6 35.0 83.7 0.71993969 1.4 1.1 171.01 10.6 6.7 10.9 25.7 0.90139707 6.7 10.8 23.9 0.81055481 0.4 0.1 172.01 8.5 8.6 12.7 24.7 0.11429709 14.1 11.8 18.6 4.90E-06 0.5 1.4 173.01 11.6 10.9 12.7 25.5 0.16662144 9.2 12.4 25.9 0.28728258 1.0 1.1 176.01 11.5 6.3 6.9 11.2 0.80254354 5.6 6.8 12.4 0.6077188 1.0 1.1 177.01 14.5 18.9 15.4 22.6 0.013871918 10.6 13.3 19.9 0.28435937 0.9 0.3 179.01 8.6 14.5 15.8 58.0 0.000152069 7.1 14.6 58.3 0.16910905 1.4 0.0 180.01 8.8 4.4 6.5 10.3 0.96193692 3.3 4.8 11.0 0.98309058 1.4 0.4 183.01 0.5 0.3 0.4 1.4 0.97199142 0.3 0.4 1.4 0.97756339 0.1 0.1 – 32 – 186.01 0.9 0.3 0.6 1.2 1 0.3 0.6 1.2 1 0.0 0.3 187.01 0.8 0.0 0.2 0.4 0.9997405 0.1 0.1 0.2 0.82041991 0.8 0.1 188.01 0.6 0.5 0.9 4.7 0.62137077 0.5 0.9 4.8 0.2870704 0.0 0.3 189.01 0.9 0.4 0.3 0.6 0.81130566 0.4 0.3 0.5 0.59756469 0.7 0.2 190.01 1.3 1.3 2.6 8.2 0.10105516 1.4 2.4 7.1 0.028657014 0.3 2.1 191.01 1.2 0.9 1.3 3.2 0.62638467 1.0 1.2 2.8 0.23891752 1.2 0.3 191.02 12.9 9.5 20.0 56.7 0.76852469 8.2 19.2 50.0 0.96687334 1.8 0.1 191.03 49.7 23.9 46.0 182.2 1 27.0 49.8 163.0 1 1.2 0.1 191.04 58.6 17.4 17.5 28.5 0.98344131 6.9 9.0 13.5 0.99090958 0.2 1.2 192.01 0.8 0.4 0.6 1.1 0.96172643 0.4 0.6 1.1 0.95632961 0.5 0.3 193.01 0.8 0.6 0.5 0.8 0.44634571 0.0 0.1 0.2 0.9028308 5.5 2.5 194.01 2.6 0.6 1.9 13.5 1 0.7 1.9 13.8 1 0.1 0.1 195.01 0.8 0.5 0.9 8.5 0.95338554 0.4 0.9 8.7 0.99467902 0.7 0.3 196.01 0.7 0.5 0.7 3.4 0.89949585 0.4 0.7 3.3 0.99874001 1.4 0.7 197.01 0.8 1.0 1.0 1.5 0.016176357 0.8 0.8 1.4 0.05078992 1.8 0.8 199.01 1.0 0.6 1.0 2.5 0.99272173 0.6 0.9 2.6 0.97103253 0.6 1.1 200.01 1.0 0.5 1.0 4.0 0.98877833 0.4 0.9 3.6 0.99159788 1.0 0.7 201.01 7.0 2.4 2.4 12.3 0.99999904 2.6 2.4 11.5 0.99996647 0.5 1.4 202.01 0.8 0.5 0.7 2.3 0.99696707 0.5 0.7 2.3 0.99101077 1.1 0.8 203.01 0.7 0.6 0.7 3.6 0.13312885 0.6 0.7 3.6 0.14251895 0.3 0.3
  • 33. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 204.01 1.7 1.4 1.8 6.2 0.28684302 1.3 1.7 6.1 0.47764383 1.0 0.4 205.01 1.0 0.7 1.4 5.4 0.67359556 0.7 1.4 5.6 0.51141935 0.1 1.2 206.01 2.4 1.3 1.8 4.9 0.97739907 1.4 1.8 5.6 0.92797231 0.7 0.3 208.01 4.9 2.0 2.6 5.7 0.99999855 1.9 2.5 6.4 0.99999944 2.3 0.5 209.01 2.0 3.4 3.8 4.8 0.0042149 3.6 3.4 4.6 0.000108707 2.8 0.8 209.02 3.3 1.7 8.7 17.8 0.82500155 3.5 8.6 16.9 0.036904548 0.9 1.0 212.01 2.1 1.4 2.5 5.7 0.82471978 1.7 2.4 5.9 0.32559997 2.3 0.1 214.01 1.5 0.9 1.7 11.2 0.97335068 0.7 1.7 11.0 0.99993462 0.7 0.9 216.01 2.5 1.0 3.1 10.4 0.96109924 1.2 3.1 10.2 0.68320385 0.5 0.1 217.01 0.9 0.7 0.9 3.5 0.51371281 0.6 0.9 3.2 0.8999275 1.4 4.6 219.01 2.8 1.9 2.7 6.5 0.76605909 1.8 2.3 6.5 0.75358377 1.8 0.1 220.01 2.9 2.2 3.1 9.0 0.75810376 2.1 2.9 7.1 0.82267841 2.0 1.1 – 33 – 220.02 36.3 17.0 49.8 178.1 0.99962092 24.3 48.9 165.8 0.81476702 1.3 0.4 221.01 2.5 2.2 2.6 6.7 0.26978724 2.2 2.6 6.6 0.18869327 0.4 0.7 222.01 8.3 4.6 7.5 18.2 0.97286375 4.1 7.2 17.8 0.97959141 0.5 0.2 222.02 9.5 4.7 13.1 26.8 0.91449794 8.3 11.8 20.4 0.13388569 2.2 0.6 223.01 6.8 3.3 6.1 13.8 0.99973941 3.0 6.1 13.4 0.99995185 0.5 0.2 223.02 9.0 7.0 5.9 8.0 0.42000351 1.8 1.7 2.3 0.66919883 2.6 1.0 225.01 3.7 2.4 4.4 74.5 0.99926748 2.4 4.4 74.7 0.99825783 0.3 0.1 226.01 10.6 8.2 13.0 26.9 0.51275718 9.8 10.2 21.6 0.083977284 4.1 1.3 227.01 3.8 36.3 66.2 109.9 0 5.5 7.2 12.3 0.00028818 33.7 3.5 229.01 3.2 2.3 2.8 17.9 0.76705404 1.8 2.7 18.1 0.98574847 0.9 0.9 232.01 3.4 3.6 3.6 9.8 0.065699024 2.2 3.3 11.3 0.60090967 0.1 1.2 232.02 19.0 11.8 22.3 62.9 0.91500872 11.3 21.6 58.3 0.89842696 1.9 0.7 234.01 10.7 8.4 8.7 12.5 0.47207156 8.0 8.7 13.7 0.41948815 0.3 0.4 235.01 10.0 5.0 7.3 20.9 0.99502875 5.8 7.3 20.8 0.93208493 0.4 0.2 237.01 10.4 6.5 9.7 26.8 0.85926269 5.5 9.2 28.1 0.91264615 1.5 0.2 238.01 14.5 15.9 33.3 70.9 0.056591325 16.0 25.3 43.6 0.017408912 4.1 1.5 239.01 7.6 4.7 5.7 11.1 0.91629028 3.9 5.3 11.2 0.97376917 0.6 1.5 240.01 8.0 6.8 9.2 21.8 0.29843757 6.0 8.9 21.9 0.55647144 0.7 0.7 241.01 7.4 10.0 12.5 27.8 0.001313043 12.9 10.8 20.1 1.03E-07 2.7 1.6 242.01 3.5 2.2 3.4 7.5 0.87624967 2.9 3.3 7.0 0.23753434 0.1 0.5
  • 34. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 244.01 1.7 2.2 2.0 6.4 0.005423181 1.5 1.8 7.7 0.14534664 0.6 0.5 244.02 3.7 5.0 4.5 9.9 6.67E-05 2.6 2.5 5.7 0.64186157 0.7 3.2 245.01 3.5 11.6 18.4 54.4 4.93E-11 5.7 17.4 60.4 0.000489352 1.7 8.1 246.01 4.3 4.1 4.5 12.0 0.092012543 3.9 4.5 11.4 0.098107351 0.5 0.4 247.01 6.8 2.5 10.0 19.8 0.98290209 3.9 9.8 19.9 0.60309425 0.5 0.1 248.01 7.3 3.5 8.1 25.3 0.99082216 3.6 6.8 18.7 0.9659645 4.5 3.4 248.02 8.5 5.6 13.7 94.6 0.7655133 9.0 12.5 98.7 0.022377549 1.0 0.9 248.03 15.4 9.1 22.1 58.0 0.99383516 8.9 21.2 54.8 0.99356392 2.9 1.3 249.01 4.2 2.4 3.1 6.6 0.87247006 0.9 1.9 6.8 0.99951576 2.3 0.9 250.01 4.6 3.1 4.1 9.9 0.68768223 1.3 3.5 8.6 0.99362271 0.1 1.7 250.02 5.9 4.5 5.1 10.2 0.48403266 4.5 4.7 8.2 0.24380497 1.5 1.0 250.03 34.2 14.5 37.6 149.6 0.99998435 14.3 36.4 138.4 0.99996183 0.1 1.4 – 34 – 251.01 4.1 2.7 4.7 23.2 0.9134354 3.1 4.7 23.0 0.48509255 0.2 0.5 252.01 8.7 7.0 10.6 17.6 0.42560986 5.6 8.8 17.6 0.41764123 1.5 1.4 253.01 5.9 6.1 6.8 13.8 0.034198778 5.1 6.4 16.3 0.18518009 0.9 0.4 254.01 0.8 0.6 0.8 4.8 0.69912465 0.6 0.7 4.9 0.58600301 0.5 0.8 255.01 7.7 5.0 3.9 5.7 0.61069408 2.9 2.1 4.0 0.63694653 1.0 1.2 257.01 4.7 2.9 4.2 14.3 0.89880058 3.0 4.1 15.1 0.76278922 0.2 0.4 258.01 11.9 21.5 59.8 240.9 1.11E-16 22.9 49.1 180.9 0 13.8 10.7 260.01 15.6 9.4 42.5 163.9 0.83864354 24.1 37.2 127.4 9.42E-06 3.4 0.6 261.01 6.1 10.9 6.8 19.2 7.97E-06 10.1 6.7 20.7 1.12E-05 0.1 0.5 262.01 15.4 4.4 14.8 31.8 0.99997831 8.3 14.5 33.3 0.90962008 0.3 0.8 263.01 16.3 5.5 28.0 54.1 0.97031368 20.8 19.9 47.7 0.005322006 1.9 0.6 265.01 36.1 12.7 36.4 100.8 0.99999395 17.5 34.1 83.0 0.99396981 1.3 2.7 269.01 18.9 4.0 7.4 13.4 0.99668965 2.8 7.2 12.1 0.982813 0.1 1.3 270.01 17.4 20.7 31.2 58.2 0.017533 26.9 29.9 49.3 1.92E-05 0.7 1.2 270.02 18.6 9.1 8.4 9.4 0.77071847 2.3 2.5 3.7 0.7852684 4.0 0.5 273.01 7.2 3.7 4.5 18.3 0.94650762 2.8 4.3 17.7 0.97785391 0.4 0.7 274.01 30.2 16.5 22.4 35.5 0.85626187 17.8 21.2 35.7 0.57198846 0.4 0.3 275.01 17.9 11.9 15.3 23.7 0.67885197 9.7 13.5 22.5 0.66939178 0.9 0.1 277.01 6.0 25.3 40.9 72.5 0 2.8 5.0 20.2 0.78961113 30.7 18.6 279.01 2.1 1.1 1.8 2.9 0.75286868 0.2 0.2 0.3 0.87269261 6.0 4.3
  • 35. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 279.02 13.9 7.9 12.3 19.6 0.80896122 8.1 8.4 18.8 0.52530852 1.3 0.4 280.01 4.1 5.1 4.5 7.1 0.00817993 3.2 3.4 10.9 0.28122714 2.0 0.8 281.01 10.8 8.3 72.2 185.0 0.46050574 24.4 49.5 85.7 1.14E-08 8.9 10.9 282.02 29.6 11.6 19.9 40.8 0.99866543 11.3 18.2 50.9 0.99578796 0.2 1.2 283.01 6.7 1.7 4.9 12.3 0.99849279 2.1 2.8 5.6 0.95150632 1.5 1.2 284.01 12.9 12.8 12.0 17.7 0.15930845 5.9 6.2 10.7 0.73684589 2.0 1.3 284.02 18.0 10.8 30.5 102.0 0.91558857 11.2 28.9 124.3 0.79985904 2.0 0.0 284.03 21.1 15.8 25.1 61.6 0.60179869 14.3 25.0 61.5 0.66848418 0.1 0.7 285.01 5.7 5.5 5.2 8.9 0.17043247 4.2 4.4 7.9 0.31648963 0.5 0.0 288.01 10.0 19.3 18.2 34.8 5.32E-09 18.6 18.1 33.0 5.25E-09 1.1 2.7 289.01 7.2 8.8 8.1 9.6 0.070617943 2.3 2.8 3.8 0.48291515 11.0 1.1 291.01 12.8 1.9 2.3 4.0 0.99175963 0.4 0.3 0.5 0.94302319 1.7 0.7 – 35 – 291.02 20.4 11.3 20.9 50.9 0.94572719 13.1 17.7 33.7 0.70078787 2.2 0.1 292.01 11.4 7.5 13.1 31.7 0.95301857 7.9 12.9 31.9 0.82948616 0.5 0.2 295.01 9.9 7.0 12.0 33.2 0.74383871 4.5 11.2 35.1 0.99432057 4.2 5.8 296.01 9.9 4.3 5.4 7.5 0.83262163 2.8 4.2 6.4 0.53859068 2.0 0.3 297.01 16.7 12.8 17.9 34.2 0.54185771 13.7 17.8 29.9 0.26766006 1.3 1.8 298.01 13.5 0.9 6.7 17.0 0.99998685 4.6 5.4 10.0 0.82221406 1.2 2.9 299.01 14.6 10.1 14.7 41.0 0.954408 10.2 14.6 43.0 0.91283882 0.0 0.6 301.01 15.6 4.8 13.7 28.3 0.99999218 6.0 13.7 28.3 0.99896732 0.8 1.8 302.01 11.6 5.9 9.7 21.5 0.80443367 7.8 8.2 16.5 0.24714338 0.3 1.3 304.01 5.1 4.4 5.9 12.9 0.29255807 4.7 5.5 11.6 0.10832331 1.2 1.4 305.01 11.3 6.3 10.4 46.5 0.98350886 8.0 9.7 43.6 0.66128638 0.8 1.2 306.01 9.3 4.3 4.1 7.6 0.85816079 1.6 1.2 1.6 0.91540422 0.1 0.7 307.01 14.2 5.0 4.9 10.5 0.97858564 3.4 4.1 8.0 0.9706469 0.6 0.2 312.01 12.7 18.5 22.8 58.0 0.000238467 19.7 22.2 60.3 7.78E-06 1.2 0.2 313.01 7.9 3.6 3.0 5.2 0.9230473 2.0 2.2 9.8 0.96599497 0.5 0.3 313.02 15.7 7.0 6.4 14.0 0.98968182 7.2 6.0 12.7 0.95766491 0.2 1.9 314.01 4.4 3.3 4.0 7.3 0.53706149 3.8 4.0 7.6 0.1568915 0.5 1.5 314.02 6.4 4.8 4.9 5.6 0.48031383 2.8 2.5 3.2 0.55254082 0.9 1.3 316.01 8.5 5.5 6.0 9.9 0.69431684 4.3 5.4 13.0 0.6593251 0.3 2.3 317.01 9.8 5.4 5.5 7.5 0.79076483 2.1 3.4 6.2 0.94895477 1.0 0.1
  • 36. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 318.01 6.7 2.6 5.1 9.4 0.8647526 2.5 2.6 2.7 0.42452061 10.1 1.0 321.01 17.1 12.9 21.3 58.9 0.69381398 14.5 21.1 58.8 0.19699072 1.0 0.8 323.01 19.1 30.3 32.9 269.6 1.95E-09 8.2 20.4 294.9 0.99756997 1.5 2.4 326.01 15.6 5.7 14.4 55.7 0.99888705 7.1 14.2 53.2 0.96123178 0.6 1.0 327.01 18.1 6.9 21.2 86.3 0.99999915 6.9 19.2 75.6 0.99999662 3.2 0.8 330.01 23.4 26.2 31.3 66.4 0.019163379 14.9 28.9 74.0 0.68586039 1.7 0.8 331.01 15.2 25.0 28.7 48.8 0.000285606 20.4 28.0 42.3 0.0020791 1.1 0.5 332.01 15.3 15.8 18.1 44.4 0.029722797 8.8 16.3 36.6 0.91978582 2.1 0.9 333.01 20.8 3.3 6.0 13.8 0.9999294 4.9 5.8 11.6 0.9874892 0.2 1.0 337.01 19.0 4.7 11.6 23.0 0.99694594 6.8 10.7 18.5 0.8765242 0.4 0.2 338.01 16.1 11.8 17.6 48.3 0.62896735 13.0 16.8 38.9 0.27695282 2.0 0.9 339.01 16.5 11.4 16.6 48.9 0.92466415 11.5 16.5 48.9 0.8782667 0.1 0.3 – 36 – 339.02 32.0 19.3 46.0 137.9 0.92225861 28.8 37.2 112.7 0.11686992 4.0 1.5 341.01 8.0 5.2 7.8 19.6 0.84196405 5.3 7.7 18.3 0.67938207 1.1 1.0 341.02 14.6 14.7 27.9 83.9 0.03264905 16.4 27.4 78.3 0.001386103 0.1 0.5 343.01 8.0 5.7 9.4 19.2 0.74180591 6.4 9.2 20.6 0.33597761 0.0 1.3 343.02 12.6 10.6 18.1 128.1 0.25296899 10.3 17.8 130.8 0.31082299 0.1 1.8 344.01 4.8 2.9 3.8 4.9 0.63781813 0.8 0.7 1.0 0.71920246 4.7 0.3 345.01 4.5 2.8 2.6 3.6 0.60321844 0.2 0.3 0.5 0.92761642 3.6 0.8 346.01 5.8 9.4 12.9 143.7 2.19E-05 5.3 9.3 148.4 0.09768589 0.8 2.0 348.01 3.9 6.7 7.7 8.9 0.002866661 6.4 5.2 6.7 0.000341499 12.6 0.5 349.01 7.9 5.9 6.4 13.0 0.54213099 4.0 5.3 11.5 0.78865011 1.5 0.3 350.01 12.0 2.0 3.9 9.7 0.99998823 3.1 3.5 8.1 0.99578222 0.1 1.5 352.01 17.8 9.3 16.3 27.4 0.78408029 10.6 10.5 14.2 0.32525663 0.2 1.4 354.01 10.0 8.8 10.2 15.1 0.28198592 4.1 8.8 15.4 0.87425425 0.3 2.0 355.01 12.4 10.7 16.8 210.2 0.26484271 8.0 13.1 213.5 0.81952665 1.9 3.8 356.01 4.9 3.5 5.7 22.9 0.85994343 3.3 5.7 22.9 0.93498712 0.4 0.3 360.01 25.3 16.1 32.5 66.3 0.86480396 15.7 22.5 58.7 0.79953737 3.5 4.8 361.01 22.9 14.3 35.2 90.7 0.97029257 12.7 34.5 81.5 0.99279663 0.2 0.2 369.01 16.7 11.0 18.6 76.8 0.84984314 8.3 18.4 73.3 0.98249068 0.4 0.1 377.01 2.3 0.8 0.8 1.3 0.93302904 0.0 0.0 0.1 0.99911082 0.4 0.6 377.02 4.7 7.9 8.6 12.6 0.004034632 0.2 0.3 0.4 0.91184439 16.7 11.8
  • 37. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 377.03 27.0 17.7 32.1 112.6 0.98438344 21.8 28.7 89.8 0.35996862 2.5 0.1 379.01 17.2 6.3 26.3 52.4 0.99978219 11.2 24.8 47.9 0.73581608 2.5 0.1 384.01 24.5 13.8 27.7 55.1 0.97786462 20.0 26.8 53.5 0.29057731 0.5 1.4 385.01 17.4 13.1 24.6 44.6 0.53000198 22.1 23.1 35.9 0.001785453 2.5 2.3 386.01 8.3 4.0 6.0 10.8 0.78202625 1.9 3.1 5.6 0.62224905 0.2 1.6 387.01 7.1 6.0 5.7 14.1 0.34475107 6.8 5.3 9.9 0.070146273 0.5 1.1 388.01 233.5 19.7 77.2 233.5 1 46.5 71.7 196.0 0.99999985 0.4 9.2 392.01 34.5 1.4 9.9 15.4 0.99982619 6.6 7.4 9.0 0.67590567 0.6 0.3 393.01 25.0 7.7 11.7 22.1 0.98012123 8.2 10.6 19.9 0.8393572 0.5 0.0 398.02 7.5 5.4 21.9 101.8 0.75080186 6.6 21.5 98.0 0.14705779 0.5 1.2 401.01 3.5 2.9 3.6 4.9 0.35703515 0.2 0.2 0.3 0.89399968 7.6 0.4 408.01 6.6 5.7 7.8 28.2 0.27089792 4.7 7.4 30.3 0.529365 0.3 1.1 – 37 – 408.02 10.7 6.8 8.9 21.2 0.74717683 8.8 8.8 19.0 0.20193272 0.5 0.3 408.03 21.5 10.3 12.5 18.9 0.83475859 7.1 8.1 14.3 0.70960551 1.1 0.1 409.01 10.3 6.7 8.3 16.8 0.70440411 4.2 6.5 13.0 0.86692266 0.3 0.7 410.01 2.1 1.5 4.0 52.2 0.63016347 1.9 3.7 49.8 0.12548569 3.2 0.2 412.01 2.7 1.8 2.4 6.6 0.86625754 1.8 2.4 6.6 0.75402224 0.9 0.1 413.01 6.7 5.8 5.9 9.6 0.31477502 5.7 5.8 10.7 0.14885938 0.3 1.3 416.01 4.6 1.7 1.4 2.9 0.9270674 1.4 1.3 2.3 0.74074907 0.2 0.6 417.01 1.6 1.9 1.6 2.7 0.03425553 1.0 1.0 2.5 0.48742978 0.2 4.7 418.01 1.1 0.4 0.5 0.8 0.95409308 0.3 0.3 0.5 0.79089691 0.0 3.5 419.01 1.1 0.4 0.4 0.7 0.91015747 0.2 0.2 0.5 0.94191537 0.7 0.2 420.01 3.0 1.8 2.2 6.0 0.91804594 1.2 2.1 5.6 0.99884138 1.8 3.4 421.01 0.8 0.7 1.0 1.8 0.24906331 0.8 0.9 1.7 0.007655862 0.9 1.1 423.01 5.7 9.5 5.2 12.8 0.001534191 12.2 3.4 15.9 4.59E-07 0.2 4.5 425.01 1.5 1.1 1.2 12.5 0.74726068 1.0 1.1 12.2 0.74714386 1.2 0.1 426.01 8.0 7.7 9.6 13.9 0.17165855 7.1 8.8 16.4 0.12195087 0.2 1.7 427.01 6.9 4.5 5.6 8.6 0.56728722 4.5 4.2 4.5 0.15643663 5.8 2.2 428.01 2.7 1.5 2.0 15.4 0.96208307 1.4 2.0 15.3 0.94223268 0.2 0.0 429.01 3.3 1.9 2.9 6.6 0.90295149 2.4 2.8 6.1 0.45442385 0.1 0.3 430.01 6.4 4.6 6.1 14.0 0.58373105 4.6 5.7 11.0 0.34895771 0.8 0.9 431.01 10.2 5.0 5.4 12.5 0.89420223 3.7 4.3 9.9 0.8744959 0.6 0.4
  • 38. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 431.02 10.4 15.5 14.1 18.6 0.014731084 9.2 10.2 13.1 0.052578611 9.4 0.2 432.01 5.5 3.4 4.4 10.2 0.92482495 3.4 4.3 10.2 0.85996414 0.3 0.1 435.01 7.5 7.5 11.2 23.9 0.16878142 6.1 10.8 21.4 0.15849289 0.3 1.8 438.01 8.8 3.4 6.2 16.3 0.99984276 3.6 5.8 14.1 0.99853816 0.6 0.1 439.01 3.9 2.6 3.9 10.7 0.97271579 2.5 3.9 10.7 0.98204165 0.1 0.1 440.01 9.1 6.0 7.1 13.1 0.69524064 5.8 7.0 12.1 0.48574946 1.2 1.6 440.02 9.2 9.6 15.9 86.8 0.019298327 9.8 15.8 83.8 0.006278561 1.7 1.5 442.01 16.9 16.5 20.8 36.7 0.15487012 19.4 18.0 24.5 0.011153454 1.4 0.4 442.02 27.8 17.0 35.0 84.5 0.99748556 21.6 33.5 75.8 0.52264078 3.1 1.7 443.01 11.9 10.0 13.3 23.6 0.35035917 11.8 10.9 15.9 0.055145468 0.1 4.8 444.01 14.1 16.5 16.2 28.9 0.028542834 11.9 12.0 17.1 0.17387623 2.4 0.6 446.01 12.6 11.7 13.0 19.9 0.22454881 11.3 11.4 22.5 0.10627174 0.4 0.6 – 38 – 446.02 19.5 6.8 6.9 9.4 0.90126799 6.4 6.7 8.1 0.47858245 1.4 0.8 448.01 9.7 5.7 5.9 9.6 0.86596018 5.2 5.9 9.6 0.80402208 0.1 0.1 452.01 17.4 9.1 12.8 29.4 0.99812642 9.1 12.5 33.3 0.99523835 1.2 0.7 454.01 17.3 12.9 10.0 18.3 0.47711128 13.8 9.7 16.1 0.1346324 0.6 1.6 456.01 8.7 8.2 9.2 17.6 0.1836453 8.9 8.4 15.8 0.040786373 1.1 0.5 456.02 27.4 15.2 43.7 159.0 0.9900628 17.8 42.9 148.3 0.85832222 0.3 1.9 457.01 8.2 4.9 13.6 54.6 0.95791458 5.1 13.1 50.7 0.88054998 1.8 1.2 459.01 8.7 3.5 5.7 14.0 0.93435174 1.1 3.8 9.0 0.98932126 1.0 0.3 459.02 39.8 20.2 68.4 153.7 0.97870628 20.3 67.2 139.6 0.94153324 0.5 1.0 460.01 6.3 4.6 4.6 6.9 0.54165358 3.5 3.8 7.8 0.58132447 1.1 0.0 463.01 3.6 5.0 5.1 7.2 0.019885053 3.2 2.7 5.3 0.082167005 0.9 1.9 464.02 9.4 6.3 9.6 28.6 0.85127256 6.1 9.4 25.2 0.79389944 1.1 0.6 466.01 4.1 3.4 5.0 9.2 0.37947528 4.1 4.9 8.4 0.033468389 1.4 1.4 467.01 3.2 4.9 3.5 5.1 0.00540304 4.1 3.2 4.5 0.006767789 1.1 1.3 468.01 4.5 1.9 3.0 5.1 0.88523556 2.0 2.0 2.6 0.52359204 0.8 1.0 469.01 3.5 2.8 2.7 4.6 0.48465293 2.8 2.6 4.4 0.27675031 0.2 0.4 470.01 3.6 1.6 3.9 54.5 0.99986482 1.1 3.9 53.4 0.99999986 0.7 0.7 471.01 16.9 6.4 9.1 13.7 0.95255963 7.7 8.0 10.0 0.65748835 2.1 2.0 472.01 8.1 4.1 9.0 34.0 0.99690006 4.3 8.7 31.8 0.98367111 0.3 0.1 473.01 11.1 2.9 9.1 19.3 0.99900783 5.7 5.5 9.0 0.76608567 3.4 3.5
  • 39. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 474.01 13.5 6.6 11.7 38.9 0.9585778 4.9 11.0 34.4 0.9798315 0.1 0.3 474.02 16.5 7.7 10.6 15.1 0.88701966 4.6 6.2 17.3 0.89448862 1.0 0.7 475.01 15.0 8.5 13.5 28.3 0.91981521 10.9 12.8 30.5 0.44991643 0.6 0.5 475.02 14.6 4.5 20.7 45.0 0.99402922 8.6 10.5 18.0 0.58451596 3.2 0.3 476.01 12.6 19.0 17.6 25.7 0.001501655 13.3 17.2 29.2 0.031886526 0.9 1.1 477.01 12.1 9.4 19.0 89.0 0.46849007 10.5 15.0 105.5 0.14022034 1.8 3.2 478.01 4.3 4.4 5.2 8.5 0.10516056 4.6 5.0 9.7 0.021586518 0.7 0.8 480.01 8.5 4.8 6.2 13.3 0.98500519 4.9 6.1 11.9 0.95154402 0.1 0.5 481.01 7.9 4.3 7.8 48.1 0.95868756 4.1 7.3 44.5 0.94390425 1.0 0.3 481.02 14.9 11.5 18.6 56.8 0.61470174 10.7 18.3 54.2 0.84871317 0.6 1.3 483.01 10.3 6.3 11.6 27.7 0.93439962 6.5 11.3 31.7 0.84615555 0.7 1.6 484.01 9.6 1.7 7.2 13.2 0.99956065 8.1 6.2 8.6 0.15539003 0.7 1.2 – 39 – 486.01 12.6 8.3 43.1 107.7 0.6084807 41.7 29.1 44.5 1.11E-15 5.3 3.8 487.01 15.1 7.4 20.3 63.1 0.98438452 11.9 16.8 41.7 0.32709793 2.1 3.4 488.01 29.1 15.2 36.3 88.5 0.94353164 10.4 24.3 48.2 0.98793837 2.0 1.0 490.01 18.3 8.7 26.9 84.3 0.99900239 12.8 24.5 65.9 0.6998975 2.7 0.3 490.03 17.4 11.0 26.0 80.0 0.86479372 9.2 25.9 79.4 0.93063091 0.3 0.2 492.01 15.7 7.2 6.8 8.7 0.85618908 2.8 1.9 3.4 0.90554671 0.9 2.7 494.01 10.6 7.7 8.9 14.3 0.50270536 9.3 7.9 14.2 0.087665347 0.0 0.6 497.01 17.4 4.4 8.1 15.4 0.99961212 5.1 7.7 14.5 0.99113121 1.0 1.2 497.02 39.3 20.2 45.3 115.8 0.99609804 22.4 42.7 102.1 0.96213481 1.5 0.5 499.01 16.2 8.1 12.7 26.1 0.96862494 7.4 11.8 20.4 0.95033213 0.4 0.8 500.01 9.1 6.5 13.0 28.6 0.66811472 3.3 10.0 19.3 0.9976317 3.9 0.7 500.02 8.2 8.9 11.6 27.3 0.041456158 5.5 10.3 29.0 0.56740326 3.0 3.0 500.03 26.8 15.8 43.8 153.1 0.99085943 14.6 42.6 140.0 0.99573193 1.9 1.6 500.04 19.2 14.8 24.0 89.0 0.55763918 9.7 22.2 95.0 0.99265411 2.5 0.0 500.05 27.0 11.3 26.8 682.9 0.99999965 11.0 26.7 683.9 0.99999948 0.3 0.9 501.01 27.3 30.6 27.1 41.1 0.095444835 18.1 16.7 24.5 0.2527165 0.8 1.6 503.01 10.3 5.4 8.3 18.9 0.96596605 6.4 8.0 21.6 0.7396599 0.7 0.3 505.01 10.2 9.1 12.7 22.5 0.26069055 10.5 12.2 19.1 0.034752521 0.1 3.1 506.01 9.0 5.3 8.0 36.0 0.99945398 5.7 7.7 35.8 0.99092535 3.3 1.8 507.01 7.4 7.5 7.6 15.4 0.14869272 5.3 7.2 20.4 0.32021899 0.7 0.4
  • 40. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 508.01 9.7 7.3 10.2 26.0 0.63762265 7.9 12.1 25.4 0.40794296 0.3 1.7 508.02 13.6 5.8 9.1 17.3 0.9443842 6.2 5.3 7.8 0.74338748 0.5 2.8 509.01 12.8 8.5 18.6 60.6 0.88320664 10.4 16.4 52.6 0.29466399 3.1 1.7 509.02 10.7 9.6 16.7 39.4 0.24750617 8.5 16.5 36.9 0.27267275 0.1 0.5 510.01 19.2 12.8 32.7 109.2 0.92516339 13.1 32.6 108.6 0.84339076 0.6 0.3 510.02 18.2 10.6 27.0 73.2 0.93442677 16.9 22.3 54.0 0.087291291 1.8 2.5 511.01 9.8 4.2 8.4 16.7 0.99476071 5.5 7.9 13.9 0.86410711 0.1 1.7 512.01 28.0 20.2 28.2 92.6 0.68196676 21.7 25.7 74.2 0.38997822 1.0 1.0 513.01 15.1 4.1 4.2 5.6 0.95203049 1.7 2.1 3.3 0.80259234 0.0 1.0 517.01 7.0 2.9 6.6 20.2 0.99999916 2.5 6.4 19.0 0.99999996 0.2 0.7 518.01 7.9 4.5 7.5 17.0 0.80706386 4.6 7.3 18.2 0.52363854 0.7 0.1 519.01 18.4 10.4 28.4 58.2 0.8528028 15.6 20.1 36.7 0.17093072 2.4 1.9 – 40 – 520.01 10.4 5.8 8.2 13.2 0.86339323 7.5 6.5 11.8 0.3663366 1.4 1.1 520.02 21.3 14.2 46.4 130.8 0.83510763 15.8 44.4 124.4 0.50649644 2.4 0.7 520.03 11.6 6.6 8.0 17.7 0.77136103 5.4 7.8 17.8 0.63763665 0.2 0.4 521.01 9.7 6.3 6.7 11.5 0.75906386 2.4 4.0 7.2 0.99863707 1.6 1.9 522.01 9.0 7.4 10.2 23.0 0.38735199 3.9 8.5 20.1 0.83324576 1.1 0.1 523.02 22.3 18.0 24.8 41.8 0.39246056 22.6 18.1 26.1 0.039848547 1.4 0.3 524.01 8.4 8.2 13.7 36.7 0.045522239 7.6 10.0 23.5 0.098775486 7.8 7.8 525.01 6.7 2.9 6.2 13.4 0.9781138 2.9 5.9 11.2 0.91450148 0.4 0.7 526.01 6.7 3.4 6.3 18.2 0.99996894 3.5 6.2 17.2 0.99984409 0.4 1.4 528.01 10.8 11.2 14.1 25.0 0.073023263 8.8 10.5 16.4 0.24679098 2.2 3.5 528.03 8.5 12.8 18.7 28.1 0.003594179 15.8 17.4 24.0 6.71E-06 1.1 0.8 530.01 19.1 8.8 16.4 32.0 0.97844579 10.9 16.1 35.9 0.77797262 0.2 0.4 531.01 3.3 5.5 9.4 27.7 1.11E-15 6.0 9.3 29.2 0 1.2 2.8 532.01 14.3 12.9 16.8 44.3 0.15738921 10.1 16.5 47.2 0.6786841 0.2 0.1 533.01 17.9 18.7 21.5 35.4 0.10178161 14.0 17.1 30.3 0.23942852 0.2 1.8 534.01 10.0 8.8 19.5 50.3 0.23496182 7.3 18.0 39.7 0.49883735 2.0 0.5 534.02 17.1 16.4 25.1 89.2 0.033643932 13.4 23.2 72.0 0.45345501 2.9 0.9 535.01 8.0 5.9 9.1 23.5 0.6175038 4.7 7.9 25.3 0.87463901 2.4 1.4 537.01 16.4 7.8 18.7 60.3 0.99993744 7.8 18.6 64.1 0.99986195 0.8 0.3 538.01 14.6 6.4 5.5 9.4 0.91314262 5.6 5.1 8.3 0.76262433 0.8 0.4
  • 41. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 541.01 17.5 6.0 11.7 22.0 0.98884823 7.3 9.8 16.9 0.86244199 1.1 0.4 543.01 11.6 12.2 19.9 50.4 0.010678925 11.2 19.0 40.0 0.034419494 2.7 0.1 543.02 22.2 21.3 30.1 76.2 0.037649827 23.0 29.7 82.5 0.002904857 0.9 1.1 546.01 16.0 3.3 8.0 18.1 0.99692124 3.9 4.5 6.3 0.9282117 1.1 0.1 547.01 5.5 4.0 3.4 5.3 0.51022853 3.1 2.5 5.0 0.38528161 0.4 1.0 548.01 10.8 8.2 8.7 14.3 0.46204256 8.4 7.8 12.4 0.14936317 0.5 1.3 550.01 11.2 5.0 9.1 18.4 0.95015887 5.5 7.7 13.5 0.75875745 0.1 1.5 551.01 16.1 4.9 37.6 101.0 0.99830363 6.6 36.7 93.1 0.9333973 0.5 2.1 551.02 15.4 12.2 17.5 42.2 0.47940972 8.8 16.6 45.6 0.92219759 1.1 1.0 552.01 2.8 1.5 3.0 32.8 0.99876304 1.5 3.0 32.4 0.99556833 0.1 1.0 554.01 6.6 2.6 5.0 73.7 0.99999508 2.8 5.0 73.5 0.99993479 0.4 0.2 555.01 27.7 21.5 39.6 112.4 0.55323293 25.7 37.3 115.0 0.055668305 3.0 1.2 – 41 – 557.01 14.7 8.6 13.4 31.1 0.80079204 7.6 12.8 32.8 0.70484591 1.0 1.2 558.01 10.9 5.6 7.2 20.4 0.96186334 6.5 6.3 13.0 0.74857063 0.3 1.2 560.01 14.5 3.4 9.6 13.3 0.99449443 8.5 8.7 11.1 0.4377935 0.5 0.5 561.01 15.9 12.8 22.6 72.1 0.44279582 11.1 22.3 66.0 0.67418681 0.7 1.7 563.01 28.8 16.5 27.0 53.5 0.82315018 16.8 26.3 48.7 0.58760866 0.3 0.3 564.01 16.7 10.1 29.7 63.9 0.72075129 8.6 14.5 27.5 0.5609253 4.2 0.4 566.01 13.8 3.9 7.8 13.1 0.9449868 4.8 6.0 7.7 0.44669861 1.6 0.5 567.01 10.4 4.7 7.0 17.3 0.98224138 3.1 6.2 17.7 0.99705714 1.6 2.2 567.02 15.4 22.8 21.2 32.6 0.003858143 12.7 17.6 27.3 0.14821116 1.7 0.1 567.03 15.5 14.7 13.7 17.7 0.23343857 3.1 3.9 5.9 0.66640614 6.1 1.1 568.01 19.4 12.4 16.5 35.6 0.94957998 13.8 16.1 39.7 0.71725404 0.0 0.0 569.01 19.3 9.1 16.2 25.4 0.88371134 6.2 15.7 32.4 0.84704462 0.1 0.2 571.01 12.5 8.3 8.9 19.1 0.7897387 7.2 8.5 18.5 0.84728549 0.4 0.7 571.02 11.3 7.3 15.3 44.1 0.68292757 12.6 14.3 38.9 0.019455479 0.2 0.3 571.03 13.4 13.4 19.8 35.7 0.022733215 12.5 19.3 39.8 0.053598912 0.2 1.6 572.01 20.2 10.3 14.3 35.6 0.94475941 5.1 10.9 27.8 0.99834263 2.0 0.1 573.01 14.6 11.0 17.5 43.7 0.58739812 13.6 16.5 33.6 0.073152904 1.6 0.3 573.02 35.7 19.7 41.0 145.6 0.99976171 26.5 39.3 159.3 0.70126932 1.9 1.4 574.01 8.5 5.2 10.8 18.6 0.71178134 5.9 8.3 23.5 0.28976079 1.6 0.9 575.01 19.5 17.1 14.3 19.4 0.30343383 12.5 10.4 14.0 0.27689513 2.1 0.9
  • 42. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 577.01 19.6 4.3 5.6 7.7 0.97390088 1.8 3.0 5.6 0.84140956 3.5 0.4 578.01 7.2 3.8 4.8 10.3 0.98101996 4.4 4.8 9.6 0.82918002 0.2 0.5 579.01 14.0 15.8 24.7 74.6 9.10E-06 16.2 24.1 71.8 7.45E-07 1.3 1.4 580.01 11.9 6.9 8.3 16.1 0.93204412 5.5 8.1 16.8 0.97861458 0.8 1.6 581.01 6.8 5.6 6.7 13.6 0.36455305 5.9 6.6 13.0 0.15632048 0.1 0.1 582.01 11.0 6.9 12.5 39.8 0.90045788 6.3 12.4 38.0 0.90989332 1.1 0.1 583.01 26.3 14.0 26.5 71.8 0.99973042 11.5 25.7 66.2 0.99999766 0.6 1.5 584.01 10.5 4.4 12.9 50.3 0.9906683 8.5 11.3 37.2 0.24644737 1.5 1.2 584.02 12.1 5.6 10.4 15.5 0.89182953 7.4 7.9 11.5 0.40152102 1.3 0.2 585.01 11.5 10.0 15.5 64.0 0.22034811 9.5 15.5 63.1 0.25919888 0.2 0.5 586.01 17.1 7.7 10.8 16.0 0.94408889 6.2 5.9 10.7 0.91825633 1.4 0.5 587.01 11.1 13.1 15.0 30.8 0.023986644 11.4 13.0 24.3 0.038092214 2.1 0.6 – 42 – 588.01 15.3 8.9 13.8 26.8 0.86978571 8.3 11.9 23.0 0.80040135 0.8 0.3 589.01 53.7 17.4 36.1 73.1 0.98577041 23.8 29.4 59.9 0.7615314 0.3 1.0 590.01 19.4 7.7 46.6 164.5 0.99092565 23.5 38.8 124.0 0.003307198 2.5 3.6 590.02 16.2 4.9 5.2 6.9 0.93520145 1.2 1.9 3.7 0.87590504 0.3 0.5 592.01 18.5 10.8 12.7 21.5 0.65779705 10.8 12.7 21.4 0.20488806 4.2 1.3 593.01 20.0 10.1 16.9 36.4 0.95702874 10.0 16.6 31.5 0.88776964 0.5 0.1 596.01 11.8 8.8 17.4 40.2 0.74489082 11.7 16.4 35.3 0.001108231 5.0 1.0 597.01 17.9 15.6 19.3 30.7 0.30998619 6.6 11.4 24.1 0.86695595 2.0 0.8 598.01 12.7 9.4 17.4 72.4 0.59246181 8.2 16.2 65.1 0.68191464 1.8 0.1 599.01 13.6 9.7 17.3 37.4 0.68763644 11.1 12.7 20.9 0.27301256 2.9 0.9 600.01 22.2 19.5 35.7 94.8 0.18718037 14.2 33.2 79.5 0.90743931 2.1 1.7 601.01 32.6 4.1 7.3 24.1 1 4.8 7.2 22.8 1 0.2 0.8 602.01 29.8 0.7 6.5 19.0 1 2.2 6.2 17.0 0.99999906 0.0 0.2 605.01 10.0 3.4 10.1 25.0 1 3.6 10.0 25.9 0.99999999 0.5 1.0 607.01 3.6 3.0 3.4 12.1 0.33647263 3.4 3.3 12.0 0.066900639 1.7 0.5 609.01 2.9 1.5 3.4 50.0 0.99395203 1.5 3.4 50.0 0.98835895 0.9 0.1 610.01 10.2 8.7 15.6 35.0 0.33544229 8.8 15.5 32.5 0.15007542 0.2 1.7 611.01 1.5 0.8 1.4 9.4 0.9996344 0.8 1.4 9.6 0.99701243 0.4 1.3 612.01 12.3 15.6 19.7 34.6 0.020056113 5.4 6.0 11.6 0.76969912 3.6 2.6 614.01 2.1 2.3 3.0 5.5 0.083895717 1.6 2.6 4.3 0.31184152 0.6 0.4
  • 43. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 618.01 11.1 10.0 22.4 95.2 0.2252401 10.7 22.0 94.1 0.068953687 0.6 1.5 620.01 4.3 1.4 1.8 4.0 0.92593354 1.3 1.0 1.4 0.52056648 2.2 0.0 623.01 21.8 15.3 25.0 61.4 0.67759124 17.0 22.6 44.9 0.31943545 1.6 0.1 623.02 24.8 9.9 30.2 75.3 0.98023467 13.0 25.6 56.2 0.74952058 0.9 1.8 623.03 25.0 15.3 35.1 87.3 0.92350573 19.7 34.7 80.2 0.36287337 0.1 0.1 624.01 14.0 20.1 63.0 148.9 0.006638923 43.7 42.1 159.6 2.22E-16 6.3 3.5 626.01 15.7 14.6 19.9 38.6 0.23101732 19.0 19.1 33.8 0.008043793 0.1 0.8 627.01 12.3 8.2 11.0 22.6 0.75781035 7.4 8.3 13.0 0.7611121 2.1 1.4 628.01 12.4 7.3 10.3 17.5 0.81878895 5.9 9.9 14.3 0.83428191 0.5 0.9 629.01 29.0 6.6 5.5 6.6 0.97009622 1.9 2.1 3.8 0.88620247 2.6 0.2 632.01 16.7 10.1 22.0 48.6 0.90523627 10.0 19.1 43.8 0.82923143 3.0 0.2 635.01 13.0 10.7 15.4 33.2 0.38339267 12.5 14.8 29.7 0.067009608 0.3 0.9 – 43 – 638.01 6.3 2.5 2.5 3.4 0.91379578 2.9 2.3 3.6 0.50725464 0.5 0.8 639.01 13.1 15.5 19.6 39.8 0.050184169 14.5 13.9 21.2 0.022182295 1.9 1.1 640.01 5.5 4.3 4.5 6.5 0.40559975 0.6 0.8 1.1 0.80625758 4.8 1.1 641.01 7.6 5.8 7.4 23.4 0.49572327 6.7 6.8 26.5 0.14232301 0.9 2.5 645.01 20.2 18.2 34.5 82.9 0.21513746 23.5 31.0 60.9 0.003546801 1.9 0.9 645.02 26.4 16.1 24.3 36.6 0.70907193 13.2 23.4 34.3 0.58007334 0.1 0.4 647.01 21.5 16.8 25.8 60.7 0.51119146 17.7 24.6 60.1 0.26593347 2.0 0.3 649.01 18.3 6.9 13.4 25.2 0.9246362 11.2 10.0 13.8 0.30899041 0.5 0.2 650.01 5.8 5.5 5.1 10.8 0.17629864 2.3 4.1 9.0 0.92285347 2.0 2.0 652.01 2.3 1.5 1.2 1.9 0.64900002 0.7 0.6 1.2 0.78271623 1.3 1.1 654.01 20.5 12.7 25.8 57.4 0.8665769 8.9 17.3 36.0 0.98090188 3.5 1.1 655.01 8.0 8.3 8.3 11.6 0.16514122 3.2 3.3 4.7 0.38194961 14.6 2.6 657.01 13.0 9.0 15.0 70.6 0.82549229 10.8 14.8 66.1 0.23638065 0.7 0.5 657.02 9.8 4.4 5.8 24.2 0.94608424 4.0 5.4 24.5 0.87609861 0.0 2.1 658.01 21.5 6.6 10.3 30.5 1 6.6 10.1 31.2 1 2.2 4.6 658.02 12.0 5.5 14.2 43.8 0.99741558 7.7 14.0 42.6 0.78991349 0.3 0.6 659.01 12.9 9.3 9.1 11.0 0.54245699 4.0 4.9 9.7 0.85930531 0.7 0.6 660.01 22.4 19.4 27.1 70.0 0.26902157 20.5 26.7 67.9 0.093102328 0.5 0.1 661.01 16.7 6.9 24.5 70.9 0.97508982 11.7 22.9 61.9 0.40194787 0.5 1.3 662.01 24.9 13.9 22.7 63.2 0.91237762 20.6 20.6 44.0 0.22723412 6.1 5.3
  • 44. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 663.01 7.9 5.8 8.4 31.8 0.72721528 5.2 8.4 32.8 0.89830242 0.1 0.4 663.02 8.0 12.9 12.2 16.6 0.000431686 4.9 6.7 11.9 0.47028322 4.6 5.5 664.01 18.1 17.4 36.5 59.2 0.18424586 24.8 28.9 51.9 0.000981038 2.9 1.3 665.01 10.2 5.6 9.9 28.4 0.97314145 5.7 9.6 28.2 0.92395857 1.2 1.1 665.02 49.8 26.3 53.0 200.8 0.99999211 31.3 52.0 185.8 0.99208769 2.8 1.2 665.03 78.6 23.0 79.8 300.0 1 28.3 78.9 299.5 0.9999999 1.1 1.6 666.01 7.4 6.3 6.4 9.9 0.33672547 2.4 2.0 3.9 0.72309618 1.8 1.7 667.01 5.2 3.7 4.5 7.1 0.7287436 3.8 4.4 7.2 0.51291028 0.1 1.1 670.01 19.8 16.9 22.8 92.0 0.31074877 13.2 22.2 93.2 0.61105058 1.0 0.6 671.01 24.5 14.0 20.2 49.8 0.98269336 11.6 17.8 44.2 0.99777883 1.9 0.7 672.01 8.5 2.0 6.2 16.1 0.99884468 3.8 5.5 11.7 0.82804446 0.2 0.8 672.02 5.5 4.0 3.0 4.1 0.48448944 0.2 0.2 0.2 0.93746604 2.5 0.1 – 44 – 673.01 20.5 13.8 16.0 40.7 0.85529171 11.1 15.6 38.6 0.97888233 0.8 0.0 674.01 5.0 4.6 4.1 5.9 0.25437459 1.7 2.5 4.7 0.82970521 1.4 0.2 676.01 2.6 2.8 3.4 11.2 0.022798997 2.0 3.0 12.1 0.38428424 1.0 0.4 676.02 3.7 3.5 6.2 114.2 0.040622585 2.1 5.8 115.8 0.99447957 0.4 2.1 679.01 19.9 15.9 21.2 32.3 0.38910658 14.3 18.1 23.2 0.11787075 9.7 5.0 680.01 1.7 1.2 1.8 13.1 0.76781541 1.3 1.7 14.5 0.37065604 1.3 0.5 684.01 8.8 8.7 13.0 42.8 0.02820332 6.6 12.7 40.7 0.54055055 1.6 0.1 685.01 19.7 7.3 19.6 69.6 0.99999982 8.2 19.4 65.4 0.99998498 0.8 0.8 688.01 17.8 13.9 21.5 47.6 0.53428649 16.1 20.1 44.0 0.077313835 0.9 2.1 689.01 9.1 8.1 9.8 15.4 0.28619433 5.7 5.4 8.4 0.28483127 1.5 0.9 691.01 12.3 4.5 11.8 20.1 0.88885309 11.2 11.1 16.1 0.048416866 1.6 0.8 691.02 50.2 47.9 66.1 107.7 0.17678718 46.1 63.1 94.8 0.10144564 0.5 0.9 692.01 27.2 13.8 19.6 71.9 0.99988619 16.4 19.5 68.7 0.98501923 0.6 0.1 693.01 24.1 5.7 10.5 20.0 0.98665767 11.3 9.4 14.2 0.49791979 0.2 1.0 693.02 20.0 25.2 85.1 340.6 0.010546127 68.2 76.8 266.5 0 4.6 1.1 694.01 9.7 4.8 13.7 33.3 0.88961536 12.6 11.2 20.8 0.00294363 2.5 1.7 695.01 8.1 2.3 4.8 7.8 0.94597424 2.1 2.9 4.1 0.57106083 4.0 1.1 697.01 11.4 11.8 18.2 41.1 0.010987102 14.0 17.8 37.2 1.44E-05 0.2 1.6 698.01 1.5 0.7 1.4 3.6 0.90512801 1.0 1.3 3.8 0.36446384 0.5 0.6 700.01 7.6 4.8 6.0 8.5 0.60659192 4.8 5.6 6.6 0.16830753 1.8 0.2
  • 45. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 700.02 17.5 11.9 34.0 96.9 0.73965246 14.4 26.3 55.1 0.24173034 4.5 0.9 701.01 6.4 5.3 5.7 11.0 0.37444025 4.2 5.4 9.2 0.40058891 0.5 0.9 701.02 12.5 8.5 15.4 39.4 0.79684755 12.5 14.8 37.2 0.026872858 1.2 0.4 703.01 21.7 11.4 22.9 139.3 0.99999931 10.6 22.8 135.7 0.99999996 0.7 0.6 704.01 20.9 20.3 29.9 209.7 0.20572241 20.6 28.1 223.6 0.046453213 0.1 1.0 707.01 13.0 5.4 5.8 13.1 0.90082824 7.8 5.1 8.8 0.32229615 0.3 0.6 707.02 19.6 14.8 18.1 30.3 0.44418267 0.4 0.4 0.5 0.96452968 4.6 0.7 707.03 22.7 18.8 92.8 223.9 0.35992666 72.0 57.7 94.2 5.89E-12 31.1 1.5 707.04 27.5 24.8 22.5 47.4 0.24611997 11.5 20.3 52.1 0.90134562 0.8 0.5 708.01 12.5 6.7 9.8 19.2 0.85068356 6.3 8.7 17.5 0.66209513 0.8 0.4 708.02 20.5 16.4 25.3 54.9 0.44397051 21.8 20.2 35.3 0.015188132 2.2 2.3 709.01 11.7 15.6 28.3 44.1 0.015746422 22.8 26.0 31.8 1.54E-06 1.0 0.1 – 45 – 710.01 22.1 13.6 36.5 132.9 0.92562556 21.3 34.7 124.7 0.043118468 1.5 1.8 711.02 48.3 22.0 33.8 87.5 0.99988764 22.6 33.6 86.8 0.99936969 0.2 0.7 712.01 33.3 16.8 33.4 136.1 0.99997453 15.6 32.2 119.0 0.99999479 2.0 2.1 714.01 5.2 2.7 3.5 9.7 0.99611269 2.2 3.4 10.3 0.99969479 0.3 1.0 716.01 2.9 2.2 2.0 2.8 0.43565268 0.4 0.5 0.6 0.74734986 11.5 1.9 717.01 16.2 5.6 14.9 36.6 0.99320617 10.4 13.6 28.2 0.52473223 1.1 2.3 718.01 14.5 7.7 14.2 41.5 0.99177097 9.4 13.8 37.5 0.83343157 1.0 0.8 718.02 12.0 3.2 21.5 45.8 0.9904169 11.1 20.2 48.9 0.081577643 0.7 1.0 718.03 16.2 9.2 21.7 39.7 0.67557424 13.4 14.9 17.9 0.073052955 6.8 0.6 719.01 5.7 4.3 4.5 12.4 0.56498758 3.4 4.4 12.5 0.79108612 0.4 0.1 720.01 5.7 4.0 5.2 17.0 0.70636158 5.1 5.1 15.9 0.10706464 0.4 0.0 721.01 21.3 29.5 35.8 72.1 0.003450789 25.6 25.7 39.1 0.007142762 2.8 1.0 723.01 9.0 6.5 8.9 32.1 0.75626006 6.0 8.7 33.9 0.82221327 0.8 1.2 723.02 14.9 13.9 11.2 16.0 0.24873919 3.8 6.5 29.6 0.58290866 3.5 1.7 723.03 7.2 3.1 9.4 27.6 0.9891969 4.9 8.3 23.1 0.55999049 0.1 1.2 725.01 7.4 6.9 10.1 98.8 0.14646203 8.4 9.9 100.0 0.002936057 1.7 3.7 728.01 1.9 1.0 2.0 5.1 0.96644712 1.2 1.9 5.4 0.77484183 0.9 1.7 730.01 27.8 25.4 24.5 34.0 0.23166345 29.0 24.2 37.6 0.033331062 1.0 2.0 730.02 47.2 41.6 46.5 90.1 0.26147693 33.3 42.4 108.4 0.49825497 0.0 1.4 730.03 37.6 50.7 50.1 87.9 0.000395502 36.3 42.0 90.0 0.06112336 0.3 2.0
  • 46. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 730.04 61.2 29.4 67.8 164.7 0.98743301 29.4 66.3 152.3 0.9638556 0.9 0.3 732.01 9.5 6.9 10.5 26.5 0.86683028 6.8 10.1 30.1 0.89346459 2.1 2.1 733.01 10.6 3.6 15.0 99.8 0.99995797 5.5 14.5 94.5 0.9657352 1.8 0.3 733.02 14.5 5.9 9.5 23.3 0.98943032 6.9 9.5 24.1 0.89827727 0.0 0.0 733.03 27.7 16.3 28.6 67.8 0.99035225 19.2 27.2 70.9 0.81017278 1.8 0.4 734.01 16.2 5.9 8.6 19.5 0.93462876 10.1 6.9 10.6 0.29190885 0.6 1.1 735.01 9.4 26.6 20.1 27.9 4.05E-10 11.5 16.5 33.7 0.00937252 2.7 0.7 736.01 14.2 7.1 6.8 12.1 0.88099968 6.3 6.0 11.0 0.76003091 1.1 2.5 736.02 24.1 10.8 31.1 71.7 0.99651661 19.1 29.8 61.7 0.32952173 0.3 0.9 737.01 6.5 4.2 3.9 5.3 0.70371149 1.7 2.2 4.6 0.95596439 1.3 1.0 738.01 14.2 9.6 10.9 20.6 0.7285779 8.9 8.8 17.3 0.65510302 2.4 2.9 738.02 18.7 12.3 26.3 55.1 0.73052401 11.8 25.2 54.7 0.59019257 0.3 1.2 – 46 – 739.01 13.0 10.6 18.4 47.4 0.3881949 9.8 17.9 50.9 0.73889948 2.0 2.8 740.01 21.0 13.3 17.8 39.3 0.7078978 11.8 17.4 37.0 0.56196379 0.2 1.3 741.01 0.9 0.3 0.4 0.6 0.86356459 0.1 0.1 0.2 0.79215343 10.5 0.9 743.01 5.1 10.2 17.4 102.9 8.79E-06 4.0 15.9 108.5 0.18371644 0.1 10.7 745.01 6.5 3.9 9.9 30.6 0.72597566 8.6 9.3 28.9 0.00370927 0.8 0.5 746.01 9.9 5.0 12.6 36.1 0.96355132 7.6 11.0 28.8 0.3468364 1.8 0.3 747.01 9.8 6.7 10.6 29.7 0.78315551 8.0 10.6 28.2 0.27636752 1.0 1.4 749.01 15.4 12.1 18.6 46.0 0.50867735 13.9 16.7 47.9 0.11706862 2.0 2.0 749.02 31.5 18.2 35.8 137.2 0.98138533 19.9 31.7 113.6 0.89108624 2.9 0.3 750.01 15.2 19.7 22.2 29.5 0.031465881 6.4 5.4 7.0 0.57678667 0.4 2.3 751.01 17.3 23.5 28.1 66.4 4.84E-05 22.2 27.1 69.4 0.000104399 1.8 0.9 752.01 20.9 13.3 21.7 46.0 0.82473595 15.3 18.3 38.3 0.45592354 2.7 0.5 753.01 3.8 1.5 16.6 84.7 0.95941041 6.8 15.3 70.3 6.22E-06 4.2 1.5 755.01 17.5 7.2 11.1 26.2 0.99999481 7.1 10.7 26.4 0.99998531 1.2 0.1 756.01 12.0 2.5 8.0 16.8 0.99956472 3.0 7.5 16.1 0.98321391 0.5 0.1 756.02 21.6 30.8 35.3 77.8 1.57E-06 30.3 34.6 73.3 9.95E-07 1.1 0.6 756.03 50.9 30.9 49.0 196.0 0.96975208 26.5 45.9 173.9 0.9944966 0.6 0.9 757.01 3.3 2.5 2.8 4.6 0.47192841 2.3 2.4 4.2 0.38287818 1.0 0.3 757.02 8.2 10.7 22.0 41.6 0.044764645 7.7 8.1 9.4 0.040264053 25.7 1.6 757.03 19.3 11.3 30.5 95.8 0.93950777 20.4 27.7 73.1 0.011362602 1.3 0.2
  • 47. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 758.01 14.7 7.0 10.1 17.8 0.92921085 6.1 9.2 19.8 0.86115968 2.0 1.3 760.01 1.3 0.8 1.2 4.1 0.97127181 0.6 1.2 3.7 0.99608261 0.4 1.5 762.01 45.2 13.3 34.5 82.7 0.99999995 17.7 33.7 76.4 0.99989706 0.9 0.3 763.01 2.0 1.4 1.5 2.0 0.56952689 1.5 1.3 2.0 0.1547063 0.6 0.4 765.01 15.6 8.9 13.5 28.5 0.92746917 12.7 12.7 22.4 0.26520226 0.4 2.0 766.01 9.3 4.3 6.9 17.9 0.99786525 4.8 6.8 16.9 0.97879306 0.4 1.1 767.01 1.1 0.5 0.8 2.1 0.99995821 0.6 0.8 2.3 0.99687157 137.4 104.2 769.01 16.5 11.9 15.5 37.9 0.7265314 12.9 15.3 33.6 0.40624572 0.3 0.5 773.01 18.3 2.1 20.2 32.7 0.99577172 15.0 16.2 20.6 0.074187404 0.4 0.9 774.01 1.8 1.0 0.9 3.5 0.94897018 1.0 0.9 3.8 0.90683059 0.8 0.3 775.01 15.0 21.4 22.7 36.4 0.002066526 19.7 21.2 28.7 0.001867103 1.5 0.2 775.02 10.4 10.7 23.4 85.0 0.060192657 10.5 20.0 69.2 0.035142974 2.0 3.5 – 47 – 776.01 3.3 2.3 2.6 6.8 0.84946257 2.1 2.6 6.0 0.87855676 0.7 1.7 778.01 10.6 8.1 13.2 29.6 0.63551978 9.1 12.8 32.8 0.15812187 0.8 1.7 779.01 1.7 0.8 1.4 2.5 0.9443865 1.3 1.2 2.3 0.25034684 0.6 0.4 780.01 12.4 8.7 21.0 52.3 0.88419141 10.1 20.5 50.6 0.31987738 1.8 0.8 781.01 8.2 3.6 7.1 17.9 0.97547288 5.7 5.3 11.8 0.45094451 2.0 1.6 782.01 5.7 3.3 4.7 13.1 0.9449617 3.7 4.4 9.6 0.75402124 0.5 2.5 783.01 5.4 4.2 4.8 10.4 0.49614465 4.6 4.5 7.8 0.19865289 0.9 0.3 784.01 15.1 10.0 10.2 13.4 0.59368429 6.8 6.9 11.4 0.53113323 1.3 2.6 785.01 20.3 14.1 18.7 44.3 0.64129141 14.3 12.3 26.3 0.39268499 1.8 1.4 786.01 20.0 18.1 32.6 71.5 0.12654554 23.4 31.9 64.2 6.68E-05 2.0 0.2 787.01 17.5 9.8 13.2 23.0 0.98442658 11.9 12.5 26.5 0.75353018 2.0 1.0 787.02 24.0 18.0 31.4 94.5 0.61465712 18.7 28.3 90.4 0.38209942 2.3 1.0 788.01 9.9 5.9 5.5 7.0 0.69382383 4.5 4.5 5.8 0.52620281 1.0 1.0 790.01 19.2 11.5 14.3 32.4 0.86797079 10.7 13.6 26.1 0.82577381 1.1 0.4 791.01 3.4 1.3 3.7 34.3 0.98852926 1.8 3.6 33.5 0.73859464 0.9 0.2 794.01 30.2 21.9 35.9 82.3 0.78880299 19.6 35.8 80.6 0.93882363 0.8 0.4 795.01 11.0 6.6 12.5 24.0 0.9156746 5.1 11.9 27.4 0.9842977 0.3 1.5 797.01 3.8 3.9 4.8 8.6 0.10268556 3.6 4.5 8.5 0.071226725 1.6 0.3 799.01 9.7 7.1 13.8 69.5 0.85196716 6.9 13.8 69.2 0.88982764 0.7 0.5 800.01 19.7 11.7 22.5 52.7 0.99260018 11.9 22.1 46.1 0.98038661 0.6 1.8
  • 48. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 800.02 23.7 10.6 47.7 183.6 0.99285361 17.5 46.1 170.2 0.45153898 2.6 5.0 801.01 1.9 1.3 1.9 13.8 0.97321865 1.3 1.9 13.9 0.92776199 0.3 0.3 802.01 1.1 0.8 0.8 1.4 0.53658852 0.7 0.7 1.1 0.28294623 1.2 1.0 804.01 16.4 6.8 10.0 23.1 0.99346819 4.4 9.4 19.7 0.99930454 0.2 1.9 805.01 2.6 0.3 1.7 4.2 0.99999979 0.5 1.7 4.2 0.99911779 0.3 0.3 806.03 25.6 35.4 28.0 52.5 0.017351992 8.0 9.6 20.9 0.73353516 3.4 1.3 809.01 1.2 0.6 1.2 2.9 0.99999425 0.8 1.1 3.0 0.97879622 2.0 0.0 810.01 13.2 9.1 14.9 28.7 0.81399704 9.2 14.4 34.2 0.69868204 1.9 0.1 811.01 8.2 3.8 7.5 12.3 0.896375 7.1 7.2 11.7 0.1203836 0.4 1.2 812.01 11.6 7.6 11.4 28.6 0.93093597 8.2 10.9 30.1 0.74320217 0.9 0.5 812.02 15.5 14.6 30.9 59.2 0.22815322 11.4 19.6 38.1 0.23884434 3.1 1.3 813.01 2.2 1.3 2.3 5.2 0.97088948 1.2 2.3 5.4 0.99294816 0.1 0.5 – 48 – 814.01 21.2 16.8 15.9 20.9 0.41237735 12.8 12.9 24.3 0.31380808 0.8 0.2 815.01 3.9 3.2 3.4 4.1 0.37591529 1.2 1.0 1.2 0.52197557 5.2 0.4 816.01 7.0 5.6 9.2 19.2 0.42632742 4.5 4.7 8.7 0.58206989 3.5 0.4 817.01 17.9 17.2 17.4 35.3 0.21658262 17.7 15.9 27.2 0.047082194 0.1 1.1 818.01 12.1 6.7 22.0 87.4 0.94575556 10.6 18.4 66.2 0.15475427 4.1 0.3 821.01 18.1 22.2 19.7 26.8 0.050703808 18.6 15.6 18.9 0.035593182 1.4 1.0 822.01 2.1 1.6 2.8 6.9 0.53811185 1.4 2.7 6.4 0.5594307 1.9 3.4 823.01 10.7 2.4 8.2 106.2 1 1.9 7.9 101.6 1 1.3 3.0 824.01 2.6 1.9 1.4 2.5 0.56079932 2.0 1.4 2.3 0.26762106 0.2 0.0 825.01 19.8 5.2 14.4 26.6 0.99997121 9.0 12.3 24.8 0.9641028 1.2 0.0 826.01 14.3 7.3 11.3 25.3 0.98827223 7.4 11.2 26.7 0.9684589 1.1 0.5 827.01 17.5 7.9 13.1 29.8 0.99763534 8.0 12.9 28.3 0.99178864 0.2 1.5 829.01 13.1 8.0 9.2 15.4 0.70816511 2.2 2.8 4.9 0.97290141 1.5 0.1 829.02 31.2 17.5 28.9 53.3 0.92028795 17.6 27.0 59.8 0.81791683 1.0 0.3 829.03 17.8 11.9 23.4 60.9 0.55094452 8.2 5.9 10.3 0.31853048 21.5 2.4 830.01 0.7 0.4 0.5 1.0 0.95214925 0.4 0.4 1.1 0.91514348 0.6 0.3 833.01 5.7 5.0 6.3 21.7 0.20264687 5.3 6.1 19.0 0.047852858 0.8 1.8 834.01 4.2 3.7 5.6 9.3 0.30438516 3.2 3.3 5.4 0.16628808 2.8 2.1 834.02 27.2 24.6 33.1 61.7 0.24789266 17.7 32.5 67.8 0.49936573 0.1 0.5 834.03 40.9 22.3 49.0 89.3 0.97891677 31.3 32.8 53.1 0.43296361 4.2 0.0
  • 49. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 834.04 36.8 37.8 60.8 218.7 0.001481828 32.0 59.9 223.3 0.11786888 2.3 0.9 835.01 13.5 5.6 9.7 24.1 0.98249433 4.8 8.7 21.3 0.97066256 0.5 1.1 837.01 14.9 8.9 11.2 20.6 0.87471589 9.4 9.2 15.6 0.68125823 1.7 0.1 837.02 29.0 18.1 26.9 101.2 0.94496753 19.5 26.9 103.5 0.79512926 0.0 0.4 838.01 3.3 2.1 3.7 41.0 0.86709451 1.8 3.6 40.0 0.94742189 0.4 2.3 840.01 1.6 0.9 1.4 3.7 0.99311392 0.9 1.4 3.7 0.98775378 0.1 0.1 841.01 6.9 5.4 5.5 12.1 0.46017737 1.9 4.1 10.1 0.97276599 2.5 1.7 841.02 6.8 3.0 5.2 9.4 0.87702918 4.5 4.6 6.6 0.25179264 2.4 2.2 842.01 11.8 5.2 28.3 123.1 0.9738289 13.9 26.5 106.5 0.006747627 3.1 1.3 843.01 4.3 3.6 5.8 25.0 0.35676436 4.4 5.7 23.9 0.008037314 0.0 0.4 844.01 9.4 7.0 13.8 31.7 0.67524016 10.1 12.5 27.8 0.001731806 2.9 1.2 845.01 13.6 13.2 20.1 32.0 0.17602103 10.7 16.1 32.1 0.21064596 2.0 0.9 – 49 – 846.01 1.0 1.1 0.9 1.1 0.14548225 0.6 0.7 1.1 0.22902481 8.6 1.0 849.01 14.0 9.9 15.7 42.4 0.6481183 6.4 12.1 32.7 0.93168517 2.3 0.9 850.01 1.5 1.3 1.6 3.1 0.27325131 1.5 1.3 2.2 0.030547178 2.2 3.2 851.01 4.4 2.2 4.7 16.3 0.99769797 2.1 4.5 15.0 0.99712876 0.9 0.4 852.01 27.8 10.4 33.8 120.4 0.99999787 14.0 31.9 103.3 0.99634949 2.1 0.3 853.01 11.4 10.2 16.4 47.3 0.22643731 10.9 16.3 45.8 0.064849299 1.0 0.8 853.02 20.7 25.3 28.4 46.2 0.021565909 18.8 18.7 36.6 0.10484616 2.4 0.8 856.01 1.7 1.2 1.5 2.3 0.5180426 0.1 0.1 0.1 0.93374764 7.1 3.9 857.01 11.8 9.8 14.9 38.6 0.35392696 8.1 14.5 42.1 0.665613 0.1 0.8 858.01 3.0 2.4 2.2 9.5 0.45617672 2.4 2.1 9.3 0.21241668 0.4 0.5 861.01 28.9 15.4 25.5 114.9 0.99976382 20.9 24.2 114.3 0.74320075 1.3 2.0 863.01 14.8 7.8 19.1 49.1 0.99874082 10.9 17.4 44.3 0.63620462 2.6 0.7 864.01 13.4 6.8 16.1 31.6 0.98996915 9.7 15.0 29.6 0.54341325 1.3 1.8 864.02 23.3 13.1 21.1 41.1 0.73844404 15.9 20.1 35.9 0.23114582 0.3 0.8 864.03 20.0 13.9 18.2 27.9 0.64023548 16.6 17.3 29.9 0.19051429 1.1 1.1 867.01 7.3 11.2 12.2 17.2 0.000492991 9.6 9.2 14.4 0.001972779 2.0 2.8 869.01 17.7 8.4 14.9 31.2 0.98658117 11.8 13.9 24.5 0.6353122 1.1 0.6 870.01 21.8 11.0 14.5 39.4 0.98793459 3.6 10.1 32.3 0.99999999 1.6 0.1 870.02 18.2 16.0 19.8 31.3 0.26664385 9.5 14.2 29.5 0.87895246 2.3 1.0 871.01 1.5 0.3 0.4 1.7 0.99978449 0.4 0.3 1.7 0.97064687 0.1 0.0
  • 50. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 872.01 2.3 19.1 23.9 35.7 0 7.3 9.4 14.7 1.78E-12 49.8 0.4 873.01 21.1 15.1 25.9 47.8 0.75507656 17.9 23.7 48.7 0.20252003 0.1 3.1 874.01 13.9 10.3 11.9 30.1 0.66935551 8.9 11.6 33.3 0.85593832 0.4 0.2 875.01 6.8 4.6 6.7 20.8 0.84949437 4.9 6.7 21.0 0.62329222 0.1 0.3 876.01 2.5 1.3 1.4 7.3 0.98858437 1.1 1.3 6.7 0.99391229 0.4 0.2 877.01 11.7 6.8 11.7 30.6 0.94759706 4.4 11.5 28.2 0.99887603 1.0 0.4 877.02 11.1 5.3 8.6 17.7 0.95551745 9.0 7.5 17.4 0.23544618 1.6 0.4 878.01 16.6 23.7 31.1 47.6 0.012379551 26.4 22.3 26.9 0.000367726 4.3 0.8 880.01 6.3 9.7 10.6 17.1 0.011829054 0.4 0.4 0.4 0.87922104 14.2 0.1 880.03 13.7 6.3 17.8 61.8 0.99685817 7.2 17.0 60.3 0.96364035 1.8 0.2 880.04 29.4 21.3 34.6 118.5 0.79728118 21.7 34.0 108.1 0.67520979 1.3 0.2 881.01 12.8 6.9 8.3 11.3 0.7678982 7.6 6.2 10.4 0.33087702 0.2 1.7 – 50 – 882.01 5.0 1.1 2.6 6.5 1 1.3 2.1 7.4 1 1.9 1.4 883.01 2.2 0.8 0.8 2.3 1 0.7 0.8 2.5 1 0.0 0.4 884.01 5.0 1.6 3.2 7.3 0.99911293 2.5 2.9 5.8 0.89613426 0.8 0.1 884.02 4.8 22.7 41.1 58.8 0 4.8 7.2 10.9 0.049741965 13.3 4.7 884.03 24.2 16.5 29.5 70.2 0.87374257 16.5 28.8 76.4 0.81593169 0.4 0.3 886.01 15.1 8.9 10.6 20.8 0.90693115 9.0 10.6 20.6 0.79199617 1.4 2.1 887.01 14.3 8.3 15.7 35.2 0.9187923 8.7 15.4 30.0 0.77837458 0.9 0.4 889.01 1.8 1.4 1.4 3.3 0.43198718 0.9 1.1 3.0 0.90521018 2.5 1.3 890.01 3.1 2.4 2.7 4.8 0.54533248 2.3 2.6 4.5 0.48151228 0.8 0.5 891.01 19.4 15.5 22.0 60.2 0.44769772 17.0 22.0 58.7 0.1548479 0.8 1.4 892.01 10.2 5.6 6.8 20.9 0.90509742 6.9 6.5 17.0 0.50944463 0.5 0.6 893.01 29.2 17.7 23.2 53.9 0.92967159 16.8 23.0 50.3 0.91906908 0.3 0.0 895.01 12.3 2.4 2.4 7.9 1 2.2 2.3 7.7 1 0.4 0.3 896.01 5.9 3.4 4.2 7.1 0.81179879 2.2 4.1 6.8 0.90359359 0.5 0.1 896.02 9.4 6.5 8.4 14.1 0.76152301 7.7 8.1 14.6 0.27424225 1.3 0.1 897.01 1.1 0.5 0.9 2.3 0.99999992 0.6 0.9 2.2 0.99937124 0.8 1.9 898.01 12.0 10.5 14.8 28.1 0.27431856 7.4 13.1 32.9 0.6848606 1.7 0.2 898.02 20.3 14.3 18.8 46.5 0.74967752 13.9 18.4 53.2 0.69776255 1.2 0.1 898.03 17.7 13.6 17.1 24.7 0.45927837 4.5 6.0 10.2 0.91893005 2.0 0.6 899.01 11.7 10.3 12.7 24.7 0.2549669 9.2 12.7 24.4 0.34136087 1.2 1.0
  • 51. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 899.02 20.5 11.5 24.0 69.4 0.99565577 11.1 23.3 71.4 0.99535708 1.4 1.5 899.03 13.8 8.1 12.0 27.4 0.82571133 7.1 11.3 26.2 0.76724218 0.7 0.0 900.01 14.8 9.5 16.3 34.0 0.7374602 9.0 10.7 18.0 0.58949351 2.0 2.0 901.01 2.7 0.8 1.3 2.0 0.99857737 1.2 1.2 2.4 0.90710262 0.4 0.2 903.01 3.5 1.0 4.7 59.2 0.99999983 1.0 4.7 59.2 0.99999841 0.6 1.3 904.01 26.8 10.6 32.3 108.0 1 16.3 30.7 97.3 0.98942186 1.9 0.6 904.02 12.2 8.3 7.6 10.6 0.52990904 4.4 6.5 10.8 0.42980441 6.7 0.4 905.01 5.9 7.4 10.7 21.8 0.000400577 7.4 10.1 18.1 0.000112966 0.7 0.1 906.01 17.3 10.0 16.4 31.4 0.92874402 13.1 15.7 28.6 0.41384523 1.2 1.4 907.01 16.6 10.7 9.9 16.4 0.6858282 8.6 8.4 12.9 0.6450321 0.4 0.7 907.02 18.6 12.0 12.2 16.1 0.57954212 3.9 4.1 5.0 0.64544978 6.7 1.4 907.03 41.3 22.6 44.4 146.5 0.98848131 30.9 39.7 158.5 0.52482871 2.0 0.7 – 51 – 908.01 1.8 0.4 1.0 5.3 1 0.4 1.0 5.4 1 0.4 0.4 910.01 10.7 8.5 12.1 23.9 0.47811705 9.6 12.1 23.9 0.11674001 0.1 0.7 911.01 21.9 12.9 18.7 46.4 0.97646337 13.9 18.5 43.4 0.88133612 0.5 1.0 912.01 9.2 2.4 4.1 6.9 0.99946983 2.7 3.7 6.8 0.99082273 0.4 0.0 913.01 0.8 0.5 0.8 5.4 0.98204904 0.6 0.8 5.6 0.82566461 0.1 1.7 914.01 34.0 10.8 38.9 218.8 0.99999997 17.4 35.3 191.5 0.99530463 2.6 1.4 916.01 6.7 7.1 10.0 35.9 0.004529219 5.1 9.7 32.2 0.54719264 2.8 1.2 917.01 13.1 8.1 15.9 32.2 0.89468388 11.4 14.7 33.0 0.16434534 1.8 1.4 920.01 14.0 12.6 16.1 24.9 0.28188209 6.2 7.1 9.7 0.53662737 0.2 3.5 921.01 13.8 11.6 16.6 37.0 0.33603873 7.0 13.8 44.7 0.87538691 1.5 1.0 921.02 10.3 7.7 13.3 19.8 0.48886753 8.1 13.3 20.2 0.1776538 0.1 0.0 921.03 29.2 22.9 27.7 58.7 0.52268978 20.8 27.6 59.6 0.70181315 0.3 0.6 922.01 20.0 7.4 32.1 107.1 0.99994421 10.3 31.8 103.2 0.97667044 0.1 1.2 923.01 15.0 5.3 9.7 39.3 0.99995868 5.2 9.4 35.5 0.99986447 0.5 1.8 924.01 14.9 15.7 15.9 17.2 0.15619294 17.1 14.8 21.6 0.013134228 2.2 2.3 926.01 12.7 9.3 17.5 50.0 0.6866659 11.0 17.2 46.9 0.16646444 0.1 1.0 928.01 15.3 20.8 31.6 79.8 2.66E-10 15.1 24.8 59.7 0.00810768 7.7 2.1 929.01 2.7 3.0 2.6 4.7 0.023308282 2.8 2.5 5.2 0.03071683 0.2 0.3 931.01 1.3 1.1 1.1 4.0 0.4626938 1.0 1.1 3.9 0.50301808 0.0 1.1 934.01 11.2 6.3 12.6 37.3 0.96261984 9.7 12.3 35.7 0.16382857 1.0 0.1
  • 52. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 934.02 36.4 9.7 14.2 32.7 0.99941878 5.6 12.7 22.9 0.99985851 0.6 0.1 934.03 22.5 10.5 39.6 82.9 0.88928853 21.9 37.1 70.4 0.060086392 0.3 1.2 935.01 6.4 4.0 4.6 7.3 0.70140527 4.0 4.0 6.2 0.38894739 0.4 0.9 935.02 8.5 2.4 3.1 9.4 0.94525561 0.8 2.1 7.7 0.83685256 1.3 0.3 936.01 6.1 2.3 3.7 11.0 0.99650326 3.0 2.9 7.1 0.90276486 1.6 1.7 936.02 14.5 8.1 14.0 67.5 0.99999983 7.7 13.7 66.2 0.99999998 2.0 0.8 937.01 15.0 7.5 12.3 29.7 0.84981867 5.0 8.5 20.6 0.83059263 0.9 0.3 938.01 16.6 10.5 24.4 74.7 0.81254383 9.2 20.4 59.2 0.81106413 1.4 0.9 938.02 55.5 25.8 41.6 215.9 0.99996979 27.9 37.6 248.6 0.99940011 1.8 1.1 939.01 30.8 23.3 31.1 85.1 0.63760088 20.3 28.7 71.9 0.87350937 1.4 1.0 940.01 4.3 2.7 30.0 221.8 0.86454075 5.5 29.6 216.1 8.10E-05 1.9 4.6 941.01 6.1 2.4 4.2 8.1 0.99919409 1.3 4.1 7.9 0.99999833 0.1 0.2 – 52 – 941.02 17.9 10.0 19.2 62.9 0.99890792 9.1 18.1 53.2 0.99981743 2.3 0.3 941.03 5.9 8.4 6.2 12.4 0.012242093 5.4 4.7 11.2 0.075407927 0.1 0.3 942.01 10.7 8.3 17.8 56.2 0.47890711 10.5 13.6 34.0 0.053184752 3.6 0.9 943.01 15.5 11.8 19.7 40.7 0.59436884 12.8 18.8 37.9 0.27278827 2.3 1.6 944.01 6.2 5.2 6.6 15.0 0.29746397 4.7 6.5 15.1 0.5709972 0.6 0.0 945.01 29.7 19.3 21.1 40.0 0.61985651 23.3 20.3 30.3 0.14528133 0.7 0.4 945.02 20.4 4.5 21.6 33.6 0.97203183 5.5 8.9 15.7 0.56108234 7.6 1.0 947.01 7.5 5.4 4.8 8.1 0.52323328 5.9 4.7 8.1 0.14126285 0.3 3.3 949.01 12.5 8.4 8.9 16.8 0.6737156 6.5 6.4 10.6 0.74942419 0.7 0.6 951.01 5.0 2.1 4.1 7.0 0.98095214 2.4 4.0 7.7 0.85695829 0.8 1.2 952.01 11.0 5.9 12.2 26.1 0.97283853 8.2 10.5 20.8 0.45982427 1.7 0.2 952.02 12.5 12.2 17.2 31.4 0.10971322 12.4 14.2 26.1 0.045988832 1.8 1.1 952.03 11.2 12.8 22.7 61.6 0.066427078 7.2 16.6 44.5 0.35738618 3.1 0.9 952.04 37.9 25.1 43.7 196.9 0.93220755 25.8 43.3 200.8 0.85216154 1.1 0.5 953.01 5.9 3.6 6.1 20.1 0.95086863 3.4 6.0 20.6 0.95098951 0.1 0.7 954.01 14.5 9.5 26.0 79.6 0.78116457 10.6 20.6 51.5 0.43108222 4.4 0.4 954.02 14.7 2.6 5.8 9.1 0.98631622 1.2 1.4 2.0 0.86368129 3.0 0.9 955.01 20.0 9.2 19.4 51.6 0.99246425 10.3 17.8 45.9 0.93588537 1.1 1.0 956.01 6.5 3.4 5.5 10.4 0.95822764 3.2 5.4 11.5 0.93240384 0.2 1.3 960.01 0.7 0.6 0.8 1.3 0.37674328 0.5 0.6 1.6 0.32588536 2.5 0.1
  • 53. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 961.01 7.9 4.0 8.8 40.8 0.99999999 4.1 8.7 41.8 0.99999976 6.9 12.7 972.01 2.6 4.1 3.3 4.7 0.000469826 2.3 2.7 5.2 0.10081544 1.4 2.2 975.01 19.8 9.1 21.0 108.6 0.99998368 9.4 20.8 111.9 0.99989883 0.5 0.3 977.01 41.6 151.4 2,067.1 3,096.0 0 366.8 387.3 957.9 0 222.2 121.1 981.01 103.8 54.5 92.5 232.2 0.9965663 50.7 77.8 276.4 0.99752774 2.4 8.1 984.01 291.0 1,026.8 1,460.0 21,420.5 0 1,053.0 837.9 3,072.4 0 251.3 184.8 986.01 18.6 11.0 14.8 31.3 0.90617149 7.8 13.1 26.9 0.98533582 1.4 0.5 987.01 21.8 8.4 13.0 54.6 0.99999948 8.4 12.2 54.3 0.99999817 0.0 0.2 988.01 21.8 15.0 22.5 63.1 0.71160084 22.9 21.6 62.7 0.022471457 0.8 0.7 991.01 14.5 5.5 7.4 16.3 0.99412848 5.0 7.4 17.1 0.98435225 0.1 0.0 992.01 45.1 18.3 69.9 164.0 0.99480954 19.7 69.0 160.3 0.96413767 0.6 0.6 993.01 23.1 5.0 7.5 14.2 0.99610865 3.3 7.0 13.5 0.98399636 0.3 0.5 – 53 – 999.01 20.9 17.9 19.7 46.7 0.32606594 7.4 10.0 28.0 0.9281686 2.8 1.9 1001.01 52.1 56.7 222.4 569.9 0.072391402 129.8 179.1 395.0 2.45E-13 4.3 4.1 1002.01 17.3 17.1 28.9 62.7 0.023430107 17.6 28.7 65.4 0.006461492 0.2 0.5 1003.01 8.3 2.8 178.6 973.6 0.99771024 46.0 166.9 853.7 0 21.0 16.4 1013.01 13.4 7.0 12.7 74.3 1 7.0 12.7 74.9 1 0.2 2.2 1014.01 14.3 2.8 5.3 13.9 0.99966073 3.6 5.1 13.1 0.9821248 0.3 0.1 1015.01 15.7 5.9 11.5 18.6 0.87877807 1.2 1.7 2.6 0.86879269 35.0 0.0 1015.02 36.7 17.8 43.5 87.4 0.93670349 25.0 41.7 108.6 0.44045963 0.9 0.6 1017.01 18.1 8.9 13.4 23.0 0.91523524 9.4 12.2 19.2 0.70422167 0.2 0.6 1019.01 41.1 45.3 80.5 215.4 0.000175146 45.8 77.9 202.1 4.64E-05 1.8 1.6 1022.01 32.5 20.2 18.9 35.8 0.65607089 17.6 17.7 34.3 0.39804116 0.3 1.3 1024.01 12.8 7.4 14.1 51.7 0.9563353 8.8 12.8 49.7 0.66141307 2.1 0.8 1030.01 28.5 34.0 42.5 119.1 0.010152508 30.3 41.7 119.6 0.020439739 0.5 1.1 1031.01 67.8 8.0 78.0 253.7 0.99999774 31.9 73.6 211.2 0.83557534 1.0 0.3 1050.01 13.4 10.9 17.3 60.6 0.38977527 10.5 17.3 60.2 0.49837828 0.5 0.3 1051.01 24.1 11.8 28.0 84.6 0.98968273 12.8 27.2 78.1 0.9410789 0.9 0.0 1052.01 25.0 11.4 26.3 70.4 0.94362972 14.0 26.1 67.9 0.63424054 0.1 0.3 1053.01 31.0 20.4 40.8 213.2 0.99209744 21.7 40.7 210.9 0.9388723 0.0 0.1 1054.01 34.0 70.6 116.7 310.7 0 52.4 112.9 290.1 7.70E-14 5.6 0.2 1059.01 17.6 17.6 27.9 75.1 7.11E-05 20.0 27.4 82.4 2.08E-10 2.2 0.7
  • 54. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 1060.01 32.8 11.3 23.9 56.4 0.99718189 13.7 21.7 48.8 0.94924986 1.0 0.1 1060.02 64.8 33.2 65.7 148.5 0.99575624 23.9 53.2 197.9 0.99994638 2.2 1.7 1061.01 22.5 9.4 21.8 35.9 0.84583519 7.0 9.0 12.1 0.49919026 7.8 0.1 1072.01 26.8 2.9 8.8 18.8 0.99656873 5.1 7.1 13.7 0.67857763 2.0 0.4 1078.01 12.7 11.4 22.3 103.7 0.1426801 9.5 20.5 86.0 0.56809706 3.3 1.8 1081.01 27.7 24.7 29.1 45.7 0.23648349 21.8 23.5 48.2 0.31674943 0.7 2.4 1082.01 30.3 24.2 49.1 126.6 0.45731276 17.9 47.0 110.4 0.87633869 2.1 0.1 1083.01 31.8 31.7 57.2 153.9 0.076188945 30.9 52.2 115.9 0.051879022 2.0 1.6 1085.01 41.1 16.7 45.7 129.4 0.99865253 19.1 45.0 123.5 0.97928412 0.5 0.4 1086.01 22.3 8.1 13.1 23.6 0.95966173 8.2 12.7 21.5 0.78415897 1.0 1.0 1089.02 7.2 5.4 6.0 10.3 0.56254226 4.6 5.4 10.1 0.61369922 1.4 3.6 1094.01 38.2 11.9 23.8 57.9 0.99999528 10.5 23.1 61.2 0.9999953 0.7 1.1 – 54 – 1101.01 64.9 27.6 49.2 176.7 0.99999827 21.4 48.6 186.0 1 0.7 0.4 1102.01 23.2 25.1 25.7 38.4 0.048355313 24.6 23.9 41.0 0.023701609 1.5 0.8 1102.02 276.2 25.2 51.1 106.3 1 26.3 39.5 76.2 1 0.1 1.0 1106.01 152.1 43.2 50.0 92.4 0.97284525 55.5 46.5 62.7 0.65769158 0.3 0.1 1108.01 23.5 17.8 38.4 90.3 0.54584529 23.1 33.8 70.2 0.053392324 0.6 1.9 1109.01 80.3 45.9 136.5 359.1 0.94779566 84.9 105.3 239.5 0.01234075 2.4 3.3 1110.01 35.9 36.3 48.8 100.4 0.069679642 40.1 47.8 90.7 0.006608499 0.9 1.7 1111.01 36.7 37.1 76.3 198.5 0.091546194 64.5 72.3 158.8 2.47E-08 1.6 0.7 1112.01 27.9 45.7 40.1 53.8 0.00553938 0.8 0.9 1.1 0.9500977 15.3 0.3 1113.01 28.0 6.6 18.9 25.0 0.99442486 9.4 10.1 23.2 0.8294393 1.2 0.1 1114.01 24.6 22.9 28.8 81.6 0.15197341 26.4 28.6 78.2 0.011764248 0.1 0.5 1115.01 37.2 14.9 39.8 103.8 0.99071283 23.2 36.1 79.1 0.63405046 1.4 0.1 1116.01 19.4 9.2 24.6 83.1 0.9996574 10.5 22.9 92.5 0.98946239 0.2 1.3 1117.01 29.4 8.9 18.9 49.2 0.99909185 12.3 15.1 28.6 0.9490812 1.1 0.4 1118.01 26.1 12.2 18.4 44.4 0.99050138 11.9 16.4 37.9 0.97759697 1.1 1.1 1128.01 12.0 12.2 20.4 70.5 0.001411978 12.7 20.3 73.4 0.000121867 1.1 1.3 1129.01 21.9 15.5 27.0 61.6 0.75324019 14.5 26.6 57.7 0.78242908 0.6 0.0 1141.01 31.6 36.3 50.6 93.3 0.002225982 32.1 49.5 102.6 0.016967135 1.6 0.0 1144.01 39.9 23.4 62.4 203.8 0.99610441 26.1 57.8 170.0 0.93618545 3.7 0.4 1145.01 18.7 19.3 21.7 32.3 0.15424175 3.9 3.3 5.3 0.87390256 2.1 2.8
  • 55. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 1146.01 22.4 27.4 34.7 76.5 0.001077701 26.3 29.8 60.9 0.001081326 0.0 0.7 1148.01 35.3 19.8 42.1 113.1 0.90771639 12.6 30.5 75.8 0.98768263 2.5 0.8 1150.01 93.1 71.9 73.6 167.9 0.50098584 53.3 70.0 148.8 0.77275173 0.8 1.4 1151.01 37.0 32.7 43.1 181.3 0.20747804 29.7 42.0 180.2 0.32722545 1.2 1.6 1151.02 34.5 21.3 34.7 69.7 0.88780763 26.9 34.2 62.6 0.35495599 0.2 0.1 1152.01 2.9 1.2 1.4 3.0 0.99827076 1.4 1.4 2.7 0.97423442 0.2 0.5 1160.01 22.2 13.1 15.5 21.4 0.81972107 8.9 9.2 21.4 0.91987838 0.0 1.4 1161.01 29.1 21.4 39.8 103.1 0.6589125 24.6 39.0 95.0 0.2113547 0.0 1.5 1163.01 23.0 16.7 41.1 168.4 0.77497441 14.2 40.4 165.5 0.95942781 1.0 0.9 1163.02 28.4 21.0 44.5 72.1 0.59822318 19.5 43.3 71.7 0.5655128 1.0 0.8 1164.01 51.7 26.6 72.4 326.9 0.99978456 29.4 72.0 318.5 0.99463937 0.1 0.6 1165.01 11.5 3.1 10.5 24.8 0.9999989 6.3 9.4 23.4 0.93196403 1.8 0.2 – 55 – 1166.01 16.5 9.9 13.8 34.4 0.91533237 10.5 12.9 32.8 0.76767366 1.1 0.2 1169.01 108.7 16.7 119.4 3,714.8 1 15.8 42.9 250.4 1 1.1 7.2 1170.01 12.3 7.4 17.2 42.5 0.90834005 9.7 16.3 33.3 0.33378302 1.4 0.8 1175.01 52.0 47.5 39.6 54.4 0.26309111 25.0 31.9 65.4 0.48439615 0.8 0.8 1176.01 1.3 0.5 1.1 12.9 0.99999999 0.6 1.0 13.0 0.99930912 1.2 0.5 1177.01 19.6 11.0 11.5 46.5 0.98468516 3.4 6.4 55.9 1 3.0 1.8 1187.01 4.1 2.7 4.2 20.1 0.99999899 2.5 4.2 19.7 0.99999999 1.5 1.3 1198.01 32.9 27.7 41.9 88.7 0.34592401 34.3 41.3 90.9 0.033758685 0.7 0.0 1198.02 49.8 14.7 70.9 186.4 0.99978734 32.3 64.7 160.0 0.63579198 2.1 0.5 1199.01 11.9 23.9 27.1 39.0 0.000290474 12.1 18.8 30.5 0.027895914 10.5 0.9 1201.01 15.2 14.2 24.7 58.2 0.052342173 16.2 23.7 50.8 0.000608547 3.0 0.1 1202.01 28.3 19.1 34.7 118.9 0.99298494 19.1 34.7 117.6 0.99018312 0.3 0.5 1203.01 23.9 17.6 16.0 22.3 0.48977279 12.0 11.5 15.5 0.45099686 0.8 0.2 1203.02 28.3 9.1 41.4 165.5 0.99729035 24.2 37.1 130.1 0.17103525 2.1 0.0 1204.01 58.6 46.2 79.1 159.3 0.47765338 45.9 72.1 139.0 0.33946859 1.4 1.5 1205.01 37.3 8.7 25.3 61.8 0.99998337 11.4 23.1 47.9 0.99793491 0.9 0.7 1207.01 17.9 22.8 36.4 85.8 0.008785765 14.3 25.2 55.6 0.23609623 3.1 2.5 1210.01 35.0 7.3 16.7 30.7 0.99992736 5.4 16.5 34.1 0.999857 0.2 0.0 1212.01 38.4 26.8 30.7 46.0 0.66031745 14.6 25.5 67.3 0.97109998 0.9 0.7 1214.01 63.2 34.5 69.4 138.5 0.99233623 40.5 68.2 159.5 0.87409998 0.9 0.5
  • 56. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 1215.01 22.2 19.9 41.5 78.0 0.27001188 17.4 16.2 23.6 0.23837475 2.0 3.2 1215.02 22.5 25.8 24.7 35.6 0.082801771 8.1 6.6 9.7 0.66376272 2.0 1.5 1216.01 28.1 29.0 34.8 63.2 0.073588894 21.6 34.2 57.9 0.33348048 0.2 0.9 1218.01 15.5 8.3 9.0 12.2 0.81629029 4.1 7.1 13.7 0.90676342 0.6 0.2 1219.01 76.1 34.9 78.5 174.4 0.99993476 37.0 67.1 173.7 0.99930653 3.4 2.0 1220.01 25.3 24.3 38.7 102.8 0.1005205 23.5 35.2 88.6 0.08235055 1.8 0.7 1221.01 25.2 27.2 23.0 28.1 0.13802028 3.5 3.9 5.8 0.76471209 7.5 0.3 1221.02 40.9 4.3 3.8 4.7 0.99679328 0.7 0.8 1.4 0.97222484 0.1 0.2 1222.01 34.3 22.6 71.9 163.1 0.89177319 33.7 69.3 145.0 0.023690682 0.0 0.7 1227.01 7.3 1.6 8.1 67.0 1 2.4 7.9 63.7 1 3.3 0.5 1236.01 12.2 17.0 18.0 30.6 0.02732072 1.0 0.9 1.0 0.86034733 19.7 0.8 1236.02 26.0 47.5 104.7 486.4 7.49E-13 52.3 98.8 443.3 0 5.2 0.6 – 56 – 1238.01 19.7 10.4 11.6 17.2 0.78199133 7.1 6.3 10.3 0.6620329 0.8 0.3 1240.01 25.3 14.0 31.2 117.4 0.9996427 12.7 31.0 117.4 0.99996625 1.0 1.2 1241.01 20.9 33.3 61.5 91.1 0.001310734 29.2 41.7 67.1 0.001617233 3.1 2.2 1241.02 43.8 48.1 164.9 479.6 0.034972298 73.2 144.5 386.0 2.18E-07 4.2 3.7 1244.01 20.9 5.6 27.4 82.4 0.99984058 10.7 17.4 53.2 0.87335347 2.6 1.7 1245.01 25.4 13.6 24.5 44.0 0.87207098 14.5 23.2 54.8 0.61002098 0.5 0.5 1246.01 22.1 8.9 14.3 30.3 0.93803501 7.7 9.0 18.2 0.81109797 1.2 1.4 1258.01 7.0 8.1 7.4 9.9 0.10126764 0.5 0.6 0.9 0.87524615 12.4 0.6 1264.01 18.0 10.5 15.1 27.8 0.85381378 9.4 13.3 30.6 0.80018945 1.2 0.2 1266.01 17.4 6.7 13.7 42.1 0.99312423 9.2 13.1 39.9 0.81889255 0.2 0.6 1270.01 8.4 9.5 11.3 25.0 0.004627814 10.3 11.0 23.5 0.000192562 0.7 0.6 1273.01 11.2 2.8 2.8 2.9 0.96073183 1.2 1.3 2.6 0.81032845 2.0 0.1 1276.01 18.4 6.0 12.7 25.8 0.98528902 9.2 12.3 24.9 0.67201872 0.3 0.1 1278.01 41.7 22.7 42.0 75.9 0.89854265 32.8 35.5 47.9 0.2724472 0.3 1.0 1278.02 20.2 21.7 17.3 27.2 0.14084354 8.5 7.4 11.5 0.36173625 6.4 1.4 1279.01 16.5 7.8 9.3 15.0 0.94688877 6.4 8.2 13.2 0.92909687 0.4 0.4 1281.01 13.2 5.6 6.2 7.8 0.8387711 1.5 1.2 1.5 0.80534892 1.0 0.9 1282.01 15.9 16.1 31.3 73.4 0.17156305 17.4 14.2 21.2 0.023700682 2.6 2.1 1283.01 46.2 21.4 33.7 157.5 0.99148808 20.6 29.8 172.3 0.9813829 0.7 1.5 1285.01 12.3 4.5 7.7 68.2 1 1.8 6.2 67.7 1 2.7 4.0
  • 57. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 1298.01 9.8 10.2 11.3 17.4 0.084443755 11.3 11.0 16.6 0.009093844 1.1 1.3 1300.01 11.6 6.6 12.7 47.3 1 6.6 12.6 48.1 1 1.3 0.6 1301.01 21.7 6.7 23.6 34.2 0.98931179 13.4 14.1 19.8 0.46233326 1.0 1.7 1303.01 37.0 25.1 21.1 40.8 0.57704676 13.5 16.3 37.7 0.65608775 0.5 0.7 1304.01 36.8 16.7 33.3 99.1 0.9994596 17.4 32.9 96.8 0.99668469 0.4 0.1 1305.01 31.2 13.3 38.7 182.4 0.99999915 13.9 37.9 182.6 0.99998788 0.9 1.5 1306.01 24.8 23.7 32.3 139.4 0.013388426 23.9 32.0 142.1 0.005635702 1.1 0.9 1306.02 31.9 20.5 38.6 115.0 0.94575557 14.6 36.8 110.9 0.99980828 1.8 0.4 1306.03 43.6 38.1 57.2 131.5 0.23506952 29.5 54.0 103.6 0.71737885 1.5 0.8 1307.02 11.9 9.0 10.4 17.1 0.50083748 11.5 9.9 16.3 0.066306191 0.2 0.0 1308.01 18.5 15.1 28.8 78.1 0.39025884 13.1 21.2 43.3 0.26959394 3.2 2.3 1309.01 19.5 13.8 23.2 52.7 0.64967349 14.6 19.3 36.8 0.37875661 2.1 1.0 – 57 – 1310.01 21.1 4.5 7.2 16.9 0.99944466 6.3 5.8 9.6 0.96444514 0.6 1.0 1312.01 23.2 21.0 42.0 113.1 0.18153892 22.6 40.9 104.3 0.041390048 1.1 1.9 1314.01 42.8 32.9 49.1 92.6 0.51644668 33.6 48.5 95.9 0.31467237 0.6 0.0 1315.01 22.9 14.8 37.0 79.6 0.85050583 18.7 36.8 82.1 0.27590341 0.3 0.1 1316.01 55.7 15.0 48.1 132.3 0.99998998 24.5 40.5 117.0 0.98374822 1.4 1.3 1325.01 5.8 3.2 3.9 9.6 0.93273003 2.4 3.9 8.9 0.97757025 0.2 0.2 1329.01 18.7 8.4 8.5 13.3 0.86924112 11.2 6.6 14.9 0.32623027 0.4 0.6 1336.01 25.8 26.0 44.5 94.1 0.093937533 21.1 42.3 85.9 0.23959658 1.8 0.2 1337.01 39.5 21.3 40.1 149.6 0.99990112 24.6 39.5 153.7 0.98792174 1.2 0.7 1338.01 36.8 23.4 38.4 101.2 0.92147606 25.5 33.6 68.6 0.71758708 2.1 1.8 1339.01 47.4 21.5 40.4 96.2 0.99973805 25.6 40.0 100.8 0.98517417 1.2 1.9 1341.01 54.6 16.3 18.6 28.1 0.99922215 18.2 16.4 33.4 0.98757075 0.3 0.9 1342.01 39.7 20.3 33.8 82.3 0.99850081 16.5 33.3 79.0 0.99993594 0.4 1.4 1344.01 26.5 29.0 38.3 66.5 0.004089481 32.3 35.5 67.4 5.05E-05 2.7 1.1 1355.01 8.1 4.7 10.3 13.1 0.66939359 5.1 4.2 10.5 0.1761757 6.9 2.3 1360.01 12.8 7.0 10.3 12.7 0.70043786 4.1 5.4 12.0 0.48562155 5.3 0.8 1360.02 19.1 13.9 14.3 27.9 0.58031538 12.4 12.6 25.8 0.5027724 1.2 0.3 1363.01 36.4 14.7 37.0 100.0 0.99999568 18.5 36.3 93.4 0.99761271 0.1 1.2 1364.01 22.1 15.5 19.8 30.0 0.54520542 17.2 15.0 18.5 0.15033554 0.4 1.5 1364.02 22.7 14.1 20.8 46.5 0.7938846 17.3 19.6 40.4 0.31562962 0.0 1.7
  • 58. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 1366.01 17.7 8.0 22.3 36.5 0.90061336 3.8 10.3 29.1 0.94948735 2.1 4.2 1367.01 38.3 11.7 26.1 138.4 1 11.7 26.0 137.2 1 0.6 1.7 1369.01 26.7 18.8 30.7 70.7 0.83549698 19.9 29.8 79.2 0.60114974 1.5 0.3 1370.01 32.8 11.6 26.5 76.8 0.99984486 10.8 26.5 79.2 0.99968366 0.1 0.1 1376.01 15.4 15.1 25.0 62.9 0.11293887 14.1 24.8 58.1 0.10794717 0.7 0.1 1377.01 40.9 30.2 43.6 105.7 0.57263574 28.5 43.5 102.0 0.47310142 0.2 0.0 1378.01 17.8 18.0 16.5 34.7 0.12407712 6.2 13.1 39.3 0.93281771 1.0 1.1 1379.01 23.2 15.7 19.0 48.2 0.82453493 12.8 18.8 49.1 0.95346987 0.3 0.8 1382.01 4.0 2.2 4.0 113.1 0.97448277 1.7 3.8 113.7 0.99739944 0.5 0.8 1385.01 1.6 0.5 0.6 1.7 0.9921217 0.5 0.5 1.3 0.94348082 0.6 1.0 1387.01 1.3 1.0 0.6 2.2 0.44876699 1.1 0.4 1.6 0.11903893 1.0 2.9 1391.01 6.3 2.1 15.6 57.3 0.99975404 5.4 14.5 46.8 0.18392874 3.2 1.7 – 58 – 1395.01 17.5 6.8 11.9 23.7 0.99650671 5.3 10.3 24.2 0.99793741 0.9 0.5 1396.01 21.7 12.1 24.5 64.8 0.92096394 10.0 22.4 48.1 0.9456261 1.0 1.2 1396.02 41.4 51.1 53.8 181.9 0.000260834 54.3 53.7 178.2 8.94E-06 0.4 0.5 1401.01 23.5 13.4 28.2 179.7 1 13.4 28.2 179.2 1 1.1 2.5 1402.01 41.4 19.3 29.1 73.1 0.99295373 24.4 25.0 58.2 0.84653496 0.0 1.0 1403.01 18.4 9.1 11.8 18.8 0.91446618 8.3 9.5 15.5 0.81785662 0.1 0.4 1404.01 43.8 15.9 35.2 97.2 0.99979129 13.3 34.5 90.1 0.99988573 0.7 0.4 1405.01 31.0 29.3 39.7 68.6 0.19955106 15.1 32.3 71.2 0.75932624 2.0 0.7 1406.01 18.2 9.5 13.4 24.2 0.93522628 8.4 11.3 20.6 0.91044509 1.1 0.5 1408.01 24.7 19.0 31.3 65.5 0.48925805 32.2 29.8 55.4 0.001559721 1.2 0.8 1409.01 15.8 23.6 25.3 49.7 0.00183048 19.7 25.1 52.9 0.005244895 0.7 0.9 1410.01 52.6 11.1 29.5 61.5 0.99654845 14.9 26.1 55.7 0.88906889 0.6 2.2 1412.01 17.0 7.1 8.8 14.8 0.89600208 4.2 4.2 5.1 0.82694108 0.9 0.4 1413.01 40.8 44.6 61.6 117.2 0.043097254 50.5 46.9 72.9 0.002254188 3.1 0.2 1419.01 6.7 4.6 8.4 30.9 0.9483493 4.2 8.2 32.9 0.9877565 1.1 2.3 1422.01 14.4 14.4 17.6 38.2 0.05528909 14.5 17.5 37.5 0.024902249 0.3 0.4 1422.02 13.1 11.3 12.0 23.0 0.31615562 11.0 11.3 17.7 0.17748545 0.8 0.7 1422.03 23.5 21.8 48.8 116.2 0.08912444 25.0 46.2 98.2 0.001881282 3.9 0.0 1424.01 16.2 10.7 20.9 79.1 0.9918561 11.1 20.9 79.9 0.96060053 1.0 1.0 1425.01 95.7 18.1 40.7 168.3 1 21.1 39.4 163.3 1 0.0 1.0
  • 59. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 1426.01 8.7 10.9 8.6 11.0 0.061191962 2.9 2.5 3.0 0.47294199 1.8 1.6 1427.01 33.4 16.5 25.3 108.6 0.99995148 13.9 25.0 105.0 0.99999922 0.7 0.4 1428.01 11.7 7.8 18.6 73.6 0.9961766 7.3 18.5 76.7 0.99959056 1.1 0.5 1430.01 15.7 8.9 10.8 20.4 0.91611485 7.7 7.7 18.1 0.91892787 0.8 1.7 1432.01 24.0 19.1 36.9 112.6 0.46486464 13.7 34.5 101.0 0.89151781 1.0 1.6 1433.01 28.7 9.1 9.1 17.5 0.98787147 5.1 7.3 15.6 0.99026624 0.3 0.5 1434.01 42.3 21.4 35.6 214.6 1 18.8 36.4 214.6 0.99999135 0.1 0.7 1435.01 20.3 14.9 20.0 33.0 0.46832162 14.9 15.8 24.4 0.11098411 2.7 1.2 1436.01 33.5 16.4 35.7 115.1 0.99995807 18.0 35.4 107.1 0.99886085 0.9 0.2 1437.01 39.8 28.4 50.0 147.0 0.68378657 35.1 48.7 142.2 0.14289436 0.8 0.4 1438.01 31.5 28.3 44.1 103.9 0.19881381 20.9 43.6 105.4 0.71446002 0.8 0.3 1440.01 35.0 8.8 30.4 84.7 0.99999913 13.2 27.3 75.6 0.99835626 0.9 0.6 – 59 – 1441.01 30.8 15.0 26.0 76.9 0.98179398 10.6 25.6 74.4 0.99762786 0.6 0.1 1442.01 36.1 14.7 26.8 96.8 1 14.6 26.6 99.0 1 0.1 0.9 1444.01 21.6 14.7 15.7 26.6 0.53517523 18.5 15.2 18.9 0.062139722 1.4 0.2 1445.01 28.0 23.2 38.4 86.5 0.37009244 27.8 32.1 67.3 0.033973525 2.8 1.8 1448.01 9.8 2.3 21.0 339.1 1 3.8 20.8 334.6 0.99999994 2.3 0.9 1452.01 13.4 5.1 20.1 274.1 1 5.2 19.9 278.9 1 2.8 1.0 1459.01 4.9 2.6 5.2 55.9 1 2.5 5.2 56.1 1 0.6 0.2 1465.01 6.6 32.0 26.4 67.5 0 31.1 25.8 74.1 0 0.4 4.4 1468.01 12.6 17.9 26.4 58.8 3.00E-05 16.9 24.4 62.8 6.26E-05 2.3 1.7 1475.02 34.1 17.3 44.6 98.1 0.919274 19.4 43.8 91.2 0.66700742 0.1 0.4 1480.01 11.7 5.2 13.1 24.4 0.90217539 8.7 12.9 22.2 0.22786583 0.4 0.1 1486.02 24.0 2.9 8.4 28.0 0.99896616 6.0 7.8 24.1 0.82060871 0.2 0.2 1488.01 12.9 11.2 16.7 45.1 0.23804645 9.9 15.6 41.5 0.47404195 2.4 0.7 1489.01 17.7 10.9 10.0 21.9 0.78069525 8.8 9.5 16.6 0.79350678 0.5 0.1 1494.01 26.5 16.2 29.2 42.0 0.67115605 10.6 10.6 22.4 0.60109128 2.1 1.2 1495.01 21.2 8.3 9.6 16.3 0.96218565 5.3 5.1 6.9 0.96423943 0.8 0.5 1498.01 34.1 20.4 33.3 89.2 0.94106756 22.4 27.1 66.8 0.76142647 2.6 0.1 1499.01 10.3 5.1 10.5 18.5 0.9095181 4.5 9.5 17.6 0.83888061 1.0 0.2 1502.01 17.4 12.5 25.9 74.6 0.85632427 12.9 25.9 76.4 0.70374294 0.1 1.0 1505.01 29.7 21.6 31.9 93.3 0.68926517 22.6 30.8 89.4 0.46064732 1.0 0.4
  • 60. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 1506.01 15.0 8.9 7.4 9.6 0.65074879 0.5 0.6 0.8 0.94209465 4.3 0.0 1507.01 34.0 36.3 41.8 80.7 0.097771858 35.7 37.7 68.5 0.034698826 1.2 0.7 1508.01 21.8 14.1 52.4 112.9 0.68650258 30.7 30.2 43.5 0.000921422 4.5 0.2 1510.01 17.7 12.6 17.8 82.8 0.93369868 12.6 17.7 81.4 0.91372515 1.5 0.5 1511.01 23.0 13.1 25.7 151.1 0.99733402 16.4 23.4 158.6 0.77744038 2.2 1.5 1512.01 15.3 13.2 41.4 131.3 0.30069959 23.9 37.8 102.5 6.52E-07 4.1 0.6 1515.01 20.6 18.9 30.5 107.4 0.047233567 15.8 29.6 105.6 0.57034058 2.7 0.5 1516.01 23.8 19.0 50.8 113.9 0.42254884 32.2 45.9 95.3 0.001757162 1.9 1.0 1517.01 9.5 5.8 8.3 14.0 0.63295483 4.9 5.5 6.9 0.25960988 7.2 0.2 1518.01 25.9 20.9 14.7 20.9 0.39524792 13.8 10.9 25.4 0.41189278 0.2 0.8 1519.01 39.8 18.3 31.9 69.8 0.9993126 15.1 31.5 73.8 0.99990987 0.6 0.0 1520.01 14.4 18.8 14.6 20.0 0.013398347 18.1 14.5 20.0 0.004869325 0.1 0.2 – 60 – 1521.01 19.0 25.3 22.0 28.2 0.039524241 14.4 15.6 23.0 0.10004854 10.1 0.5 1522.01 14.7 5.4 9.8 15.1 0.88537977 1.2 1.4 2.0 0.85650939 4.2 0.6 1523.01 37.6 47.4 82.4 150.5 0.001107588 41.2 75.8 148.9 0.008131062 1.9 1.4 1525.01 26.2 12.5 71.0 277.0 0.99279178 21.5 68.5 248.9 0.26728463 3.0 0.3 1526.01 46.3 25.6 31.0 78.1 0.98793914 28.2 30.9 81.0 0.91593186 0.0 0.1 1528.01 23.5 9.2 17.7 40.8 0.99999344 8.5 16.6 45.7 0.99999593 0.2 0.4 1529.01 20.9 20.1 35.3 70.5 0.19072422 27.2 27.6 73.4 0.00305531 1.9 1.6 1530.01 17.9 6.8 13.3 32.9 0.98613972 9.6 11.2 25.9 0.73413923 0.1 1.0 1531.01 22.9 10.7 14.7 30.3 0.99702396 11.1 14.5 30.4 0.98662816 0.4 0.8 1532.01 21.4 22.2 25.2 83.5 0.1186063 15.4 21.2 59.9 0.30078278 1.6 0.2 1533.01 30.5 14.7 43.3 131.0 0.9945817 10.4 38.4 95.8 0.99980664 2.6 1.1 1534.01 28.6 20.0 19.6 24.5 0.57081614 17.3 18.7 29.6 0.40977323 0.0 0.1 1536.01 38.7 20.4 29.0 84.8 0.99735397 19.0 28.9 84.4 0.99807444 0.1 0.2 1537.01 43.0 18.6 34.1 96.8 0.98730457 13.1 32.0 116.7 0.99629662 0.4 0.7 1540.01 12.4 2.1 6.0 82.6 1 2.1 6.0 83.0 1 42.5 71.5 1541.01 1.7 0.6 1.0 7.4 1 0.8 1.0 7.6 0.99999191 0.9 0.5 1543.01 2.0 0.7 1.0 2.7 0.99999983 0.8 0.9 2.5 0.99997346 0.5 0.8 1546.01 11.9 2.7 6.2 71.9 1 2.1 5.5 69.8 1 2.9 0.9 1557.01 6.9 4.8 5.7 11.3 0.86726745 4.8 5.6 11.9 0.80886619 0.9 0.1 1561.01 11.9 5.3 17.6 55.6 0.9608563 9.8 16.1 48.8 0.20196117 0.2 2.0
  • 61. Table 3—Continued (EL 5,T2) (EL 2,T2) |∆ P | e |∆ E| f KOI σT T MADa WRMSb MAXc p′2 d χ MADa WRMSb MAXc p′2 d χ σP σE (min) (min) (min) (min) (min) (min) (min) 1564.01 5.9 2.8 2.4 5.2 0.78248324 0.0 0.0 0.1 0.99254795 5.4 0.4 1569.01 18.4 11.9 11.3 17.4 0.74722669 7.4 9.1 15.5 0.93990739 1.2 0.1 1573.01 7.7 5.7 7.5 9.8 0.47905482 1.6 1.3 5.0 0.8667736 1.2 2.5 1576.01 7.5 3.7 5.0 10.8 0.97403058 3.8 4.5 9.7 0.90298095 0.2 1.2 1581.01 54.7 18.1 67.3 143.3 0.95288515 67.5 49.1 74.1 0.008408237 1.2 1.7 1583.01 34.0 18.5 42.5 160.7 0.95827003 19.5 41.4 146.9 0.85915401 0.9 0.5 1584.01 24.4 18.4 27.3 68.0 0.58929937 15.4 24.6 58.1 0.80914813 0.4 1.5 1585.01 23.6 11.4 12.8 18.9 0.92117756 8.2 10.5 18.0 0.93094001 0.8 0.1 1586.01 14.6 6.8 8.9 23.8 0.99579786 4.6 8.5 22.8 0.99989885 0.7 0.4 1588.01 18.3 8.4 13.0 35.4 0.99989025 11.6 12.7 31.4 0.91516599 0.9 0.2 1589.01 24.3 16.8 38.7 115.6 0.71848227 15.2 29.3 74.0 0.71239097 3.3 0.9 1589.02 24.4 25.4 31.9 72.2 0.074559444 20.8 27.5 66.5 0.1820699 1.9 0.8 – 61 – 1590.01 36.1 3.0 6.9 9.7 0.99842471 5.6 5.6 7.5 0.7373081 0.9 1.0 1590.02 29.7 25.7 32.1 88.3 0.21404264 18.9 30.4 77.7 0.91948554 0.3 1.3 1591.01 14.1 7.8 22.4 46.9 0.82494409 14.9 18.7 34.1 0.031208828 2.1 0.8 1593.01 30.1 8.8 24.0 47.4 0.99174407 5.1 19.4 32.1 0.9914722 1.2 0.4 1596.01 24.5 16.0 36.7 92.6 0.85685508 21.6 34.9 87.4 0.13828802 0.9 1.3 1597.01 16.8 9.7 22.8 79.7 0.92873104 8.6 19.9 60.8 0.94210726 2.0 1.1 1598.01 8.6 3.0 8.2 20.9 0.90392115 3.8 3.8 6.3 0.34638362 5.2 1.2 1599.01 24.3 27.8 38.5 67.4 0.055725096 23.1 29.6 41.2 0.073863061 1.2 2.0 1601.01 38.1 18.9 45.5 150.8 0.97504361 16.5 43.5 144.4 0.97437679 1.3 0.1 1602.01 52.4 36.4 72.3 178.6 0.69287429 35.4 72.0 166.1 0.56951525 0.6 0.6 1603.01 28.2 20.6 41.2 165.2 0.75275146 17.8 40.6 157.7 0.94927952 0.7 1.3 1605.01 39.5 23.5 65.1 153.4 0.96318673 27.6 64.4 147.1 0.69145198 3.7 11.9 1606.01 27.1 13.3 23.4 50.6 0.99736961 16.3 23.2 51.0 0.91282459 0.6 0.3 1608.01 28.0 25.0 42.0 82.6 0.24251848 19.4 38.0 83.8 0.50375951 2.0 0.7 Note. — Table 3 is published in its entirety in the electronic edition of the Astrophysical Journal. A portion is shown here for guidance regarding its form and content. a Median Absolute Deviation of transit times in Q0-2 from ephemeris b Weighted Root Mean Square deviation of transit times in Q0-2 from ephemeris
  • 62. c MAXimum absolute deviation of transit times in Q0-2 from ephemeris d p-value for a χ2 -test using χ′2 , as described in §3.1 e Absolute value of difference of best-fit periods for L2 ,T2 and L5 ,T2 ephemerides normalized by formal uncertainty f Absolute value of difference of best-fit transit epochs for L2 ,T2 and L5 ,T2 ephemerides normalized by formal uncertainty – 62 –
  • 63. Table 4. Quadratic Ephemerides for Kepler Objects of Interest based on transit times during Q2. KOI Ea σE P σP cb σc MADc WRMSd MAXe ′2 pχ f pF g (d) (d) (d) (d) (d) (d) (d) 42.01 149.89207 0.002317258 17.835806 0.000999096 -7.93E-05 4.83E-05 0.000224292 0.000465821 0.00087804 0.98156568 0.053661725 124.02 107.5387 0.004856891 31.713798 0.003447988 0.000155781 9.53E-05 0.000101866 8.70E-05 0.000177141 0.96675223 0.018503953 142.01 120.58229 0.0014794 10.912549 0.000260135 6.28E-05 7.86E-06 0.001685495 0.002572359 0.00727168 0.67069648 0.005875349 227.01 122.54014 0.001542628 17.678654 0.000469767 -7.68E-05 1.55E-05 0.000969901 0.001511303 0.003312192 0.82842292 0.028645506 314.01 124.63071 0.001690889 13.780802 0.000429775 3.71E-05 1.52E-05 0.002035933 0.001290098 0.003126117 0.35704363 0.078718429 467.01 151.46194 0.001891538 18.007959 0.000842961 -4.92E-05 2.47E-05 6.71E-05 6.55E-05 0.000102345 0.93992411 0.029226395 528.01 138.41866 0.003407732 9.578232 0.000663483 -5.97E-05 2.13E-05 0.002067159 0.003516547 0.007456802 0.99547272 0.035870139 649.01 139.37393 0.010461445 23.447238 0.004043237 -0.000165971 0.000148364 0.000121626 0.000120244 0.000228574 0.98082178 0.017380622 878.01 130.40553 0.007549669 23.615695 0.006189283 -0.000667528 0.000214225 0.001208953 0.001048118 0.001790873 0.79282356 0.067398588 935.01 133.86998 0.003139609 20.860536 0.001445591 8.34E-05 5.89E-05 6.38E-05 0.000120015 0.000214038 0.99919724 0.002730505 941.03 146.68417 0.00254628 24.664449 0.002533906 0.000158955 9.16E-05 0.000255548 0.000235014 0.000381217 0.87610092 0.07150007 960.01 125.95369 0.000313363 15.800727 0.000146537 1.07E-05 5.90E-06 0.000135125 0.000123596 0.000210589 0.88030747 0.054869155 1308.01 126.11344 0.008972545 23.597302 0.004072063 0.00039199 0.000147879 0.003606992 0.003070563 0.005514918 0.73324413 0.061761557 1310.01 129.81925 0.009257043 19.130778 0.00267195 6.13E-05 8.77E-05 0.000511397 0.001120656 0.002320763 0.99997768 0.020817298 – 63 – a Epoch b curvature; see Eqn. 1 c Median Absolute Deviation of TTs from quadratic ephemeris d Weighted Root Mean Square deviation of TTs from quadratic ephemeris e MAXimum absolute deviation of TTs from quadratic ephemeris f p-value for a χ2 -test using χ′2 relative to quadratic ephemeris, as described in §3.1 g p-value for an F -test comparing linear and quadratic ephemerides, as described in §3.1
  • 64. – 64 – Table 5. Notes for Kepler Planet Candidates with Putative Transit Timing Variations. KOI P Rp a S/Nb Tdur c nTTd nPCe TTVf Comment (d) (R⊕ ) (hr) Flag 10.01 3.52230 10.5 22.6 3.3 35 1 2 epoch offset 13.01 1.76359 20.4 130.7 3.2 35 1 3 outlier 42.01 17.83278 2.6 10.8 4.5 5 1 2 quadratic? 94.02 10.42361 4.0 10.1 5.3 3 3 2 offset 103.01 14.91155 2.3 14.5 3.4 7 1 1 Period & epoch differ 124.02 31.71954 2.8 10.7 5.1 4 2 4 few TTs; quadratic? 131.01 5.01418 9.0 78.6 4.7 16 1 3 plaussible 137.02 14.85901 8.6 59.3 3.8 7 3 2 offset; trend? 142.01 10.91478 2.5 18.1 3.7 10 1 1 cubic 148.03 42.89554 2.0 12.3 5.6 3 3 2 offset 151.01 13.44739 4.6 10.8 2.7 10 1 2 Period differs 153.01 8.92503 3.2 8.9 2.7 12 2 3 plaussible 156.02 5.18856 1.6 3.1 2.5 21 3 3 no obvious pattern 168.01 10.7435565 3.7 7.2 6.1 11 3 2 offset 172.01 13.72288 1.6 8.9 5.0 8 1 3 plaussible 179.01 20.74007 3.3 21.7 10.3 6 1 3 outlier 209.01 50.78974 7.5 74.0 10.9 3 2 4 few TTs 217.01 3.90509 10.4 83.0 2.8 30 1 2 epoch offset? 226.01 8.30890 1.6 5.6 3.0 15 1 2 Period differs 227.01 17.66076 2.9 13.4 4.7 7 1 1 large amplitude; quadratic 238.01 17.23217 2.5 6.5 4.4 8 1 2 Period differs 241.01 13.82145 1.7 9.3 3.5 10 1 3 plaussible 244.02 6.23855 2.6 20.4 3.6 18 2 2 systematically low; long-term trend 245.01 39.79454 2.1 30.3 4.7 3 1 2 few TTs; offset 248.01 7.20349 2.9 7.4 2.6 17 3 2 Period differs 258.01 4.15764 4.5 4.5 5.3 27 1 2 period & epoch change; pattern? 260.01 10.49577 1.2 3.4 4.5 10 2 3 outlier 261.01 16.23844 5.6 9.6 3.9 7 1 3 no obvious pattern 270.01 12.58084 0.9 5.8 5.9 9 2 3 low amplitude 277.01 16.23675 2.1 19.9 7.7 7 1 1 quadratic 279.01 28.45557 4.9 50.8 8.1 3 2 2 few TTs; offset 281.01 19.55687 3.7 14.3 8.1 5 1 2 outlier 288.01 10.27540 1.5 9.9 6.3 10 1 3 no obvious pattern; outliers 295.01 5.31741 2.0 2.5 2.9 20 1 2 Period differs 312.01 11.57898 1.6 4.2 2.7 10 1 3 no obvious pattern 314.01 13.7810484 1.9 8.0 2.5 8 2 2 offset; quadratic? 323.01 5.83674 2.9 1.4 3.4 21 1 5 long-term trend; despite low SNR; but is it spots? 331.01 18.68416 1.1 7.0 6.4 6 1 3 fit affected by a few outliers 339.02 6.41681 1.1 2.4 3.1 18 2 4 Period differs; but lo SNR 346.01 12.92463 3.4 3.7 2.8 9 1 4 possible periodicicty; outliers 348.01 28.51109 5.3 30.0 4.6 3 1 4 few TTs 355.01 4.90345 2.0 4.4 2.8 23 1 3 outlier 360.01 5.94042 1.3 2.6 4.6 17 1 5 offset; low SNR 377.02 38.91160 6.2 37.3 5.0 3 3 2 few TTs; offset 388.01 6.14974 0.6 4.4 5.4 18 1 2 epoch offset? Large TT uncertainties
  • 65. – 65 – Table 5—Continued KOI P Rp a S/Nb Tdur c nTTd nPCe TTVf Comment (d) (R⊕ ) (hr) Flag 417.01 19.19311 9.0 45.0 2.5 6 1 2 epoch offset? 418.01 22.41834 12.6 157.6 4.9 4 1 4 epoch offset? 420.01 6.01040 4.3 24.4 2.3 19 1 2 epoch offset? 423.01 21.08739 9.6 62.3 6.0 4 1 4 few TTs; outliers? 443.01 16.21718 2.2 9.1 4.7 6 1 2 epoch offset 467.01 18.00891 5.0 30.4 4.9 4 1 4 few TTs; quadratic? 473.01 12.70512 2.2 6.6 2.4 8 1 2 epoch offset? or outlier? 477.01 16.54318 2.6 6.0 3.8 7 1 2 outlier? 486.01 22.18310 1.4 7.4 5.1 4 1 4 few TTs 505.01 13.76725 3.1 6.2 3.0 9 1 2 epoch offset?; chopping? 524.01 4.59252 2.3 6.2 2.4 25 1 2 Period & epoch differ 528.01 9.57676 3.1 6.1 3.4 11 3 1 cubic? 528.03 20.55273 3.2 5.4 2.5 5 3 3 fift affected by outlier? 531.01 3.68746 4.2 15.7 1.3 31 1 5 short duration and PDC likely affecting TTs 564.01 21.05821 2.4 6.6 7.4 5 2 2 Period differs 579.01 2.02000 1.5 2.3 1.9 58 1 4 low SNR; short duraiton; no obvious pattern 596.01 1.68271 1.7 2.8 1.3 70 1 5 short transit durations may affect TTs; Period differs 624.01 17.78948 2.1 5.1 4.4 5 1 2 outlier 649.01 23.44942 2.0 7.3 8.1 4 1 4 few TTs; quadratic? 658.01 3.16267 1.5 6.1 1.9 37 2 2 short duraiton; offset? 662.01 10.21362 1.5 6.2 5.5 11 1 2 Period & epoch differ 663.02 20.30708 1.7 10.1 2.8 6 2 2 no obvious pattern 664.01 13.13755 2.1 4.0 4.7 7 1 3 no obvious pattern 679.01 31.80485 1.8 10.4 8.1 3 1 2 few TTs; offset? 693.02 15.66002 1.7 7.3 7.0 8 2 3 fit affected by outlier 697.01 3.03219 4.0 6.0 3.6 29 1 3 plaussible 700.02 9.36127 1.9 3.0 3.3 13 2 2 Period differs 707.03 31.78453 2.5 6.4 8.6 3 4 4 few TTs; outlier 709.01 21.38418 2.2 7.5 3.8 5 1 2 large amplitude; alternating? 725.01 7.30500 6.7 4.4 3.4 17 1 3 outlier 730.03 9.85997 2.4 1.8 4.4 13 4 4 low SNR; plaussible 735.01 22.34101 5.0 6.9 4.8 4 1 5 few TTs; large amplitude; active star 743.01 19.40335 10.9 44.6 10.5 5 1 5 active star; possible periodicicty; fit affected by outliers 751.01 4.99682 3.2 2.4 2.1 17 1 4 lo SNR; no obvious pattern 753.01 19.89939 6.9 10.8 1.9 6 1 5 short duraiton; outlier 756.02 4.13463 2.6 2.7 3.1 20 3 4 lo SNR; no obvious pattern 767.01 2.81651 14.2 79.9 2.6 40 1 5 inaccurate ephemeris in B11 786.01 3.68995 1.8 1.9 2.3 32 1 4 low SNR; plausibly small amplitude 800.02 7.21227 2.5 3.8 4.0 14 2 4 offset?; but outlier; low SNR 818.01 8.11429 3.6 5.0 2.4 14 1 2 Period differs 822.01 7.91937 11.5 43.4 3.1 15 1 2 epoch offset? 834.03 6.15542 1.4 2.3 4.6 20 4 2 Period differs 850.01 10.52631 8.7 52.8 2.7 10 1 2 epoch offset? 856.01 39.74897 13.1 105.8 5.7 3 1 4 epoch offset? 867.01 16.08561 3.4 9.2 3.7 7 1 3 no obvious pattern
  • 66. – 66 – Table 5—Continued KOI P Rp a S/Nb Tdur c nTTd nPCe TTVf Comment (d) (R⊕ ) (hr) Flag 872.01 33.60167 7.4 38.5 4.4 3 1 4 few TTs 878.01 23.58879 5.2 8.6 4.5 4 1 4 outlier? 884.02 20.47687 2.7 10.8 3.5 5 3 1 quadratic 905.01 5.79511 2.0 6.5 2.4 19 1 3 no obvious pattern 920.01 21.80587 1.9 5.7 2.9 4 1 4 epoch offset? 928.01 2.49409 2.3 2.2 1.8 45 1 1 short duraiton; periodic in Q¡=2? 935.01 20.85987 3.6 14.1 5.2 5 3 2 quadratic 940.01 6.10484 3.5 23.5 4.7 18 1 2 outlier 941.03 24.7 6.6 9.6 3.3 4 3 2 offset; quadratic? 947.01 28.59891 2.7 8.8 3.7 4 1 4 epoch offset? 954.01 8.11522 2.3 4.3 2.9 12 2 2 Period differs 960.01 15.8011094 13.9 237.4 6.2 6 1 2 offset; quadratic? 961.01 1.21377 3.9 3.4 0.5 98 3 5 short transit durations may affect TTs; Period differs 972.01 13.11893 5.3 30.0 4.5 6 1 5 pulsations may affect TTs 977.01 1.35366 0.8 2.5 3.6 86 1 5 phase linked variations 984.01 4.28899 4.4 1.2 2.9 28 1 5 noisy star; likely dominates apparent TTVs; low SNR 1001.01 20.40241 2.6 4.3 12.8 7 1 2 major outliers 1003.01 8.36062 14.1 24.7 7.3 10 1 2 outlier 1019.01 2.49677 1.2 0.7 2.6 47 1 5 low SNR 1054.01 3.32361 2.0 1.4 3.8 36 1 5 variable star; low SNR; messy TTVs suggest false alarm 1059.01 1.02267 1.4 0.8 1.4 114 1 5 low SNR; short transit duration 1089.02 12.2182202 5.7 11.0 2.9 10 2 2 offset 1111.01 10.26494 1.6 1.7 3.8 11 1 4 low SNR; fit likely affected by outliers 1128.01 0.97488 1.0 3.2 1.7 61 1 5 some transits affected by thermal events; short duraiton 1169.01 0.68921 1.2 2.1 1.6 171 1 5 low SNR; short duration 1199.01 53.52962 2.7 8.2 5.6 3 1 4 few TTs 1201.01 2.75753 1.4 1.0 1.0 43 1 5 low SNR; short duration 1204.01 8.39776 1.7 1.9 6.5 15 1 4 low SNR; periodic? 1215.01 17.3229827 2.2 5.5 7.5 7 2 2 offset 1236.02 6.15488 1.7 2.6 5.7 19 2 4 low SNR 1241.02 10.49447 7.0 3.6 12.7 11 2 2 plaussible 1270.01 5.72943 2.0 3.6 1.2 20 1 5 short transit duration 1285.01 0.93742 8.0 4.7 1.7 124 1 5 spotted star; short duraiton; epoch offset? Trend? 1308.01 23.584268 2.0 6.8 5.5 5 1 2 period & epoch differ 1310.01 19.12903 2.0 3.9 3.7 7 1 2 F test suggests quadratic; but TTs consistent w/ linear 1344.01 4.48761 1.1 1.7 2.6 26 1 5 low SNR 1366.01 19.25493 2.4 6.4 4.5 5 1 2 epoch offset? 1396.02 3.70128 1.9 1.2 2.6 22 2 5 low SNR 1465.01 9.77142 4.9 10.5 1.7 13 1 5 PDF artificacts; short duraiton; TTs unreliable 1468.01 8.48084 3.7 9.5 6.2 15 1 3 possible periodicicty; fit affected by outliers 1508.01 22.04698 1.6 3.6 4.6 6 1 2 outlier? 1512.01 9.04184 2.1 3.1 2.1 13 1 2 fit affected by outlier 1540.01 1.20785 19.2 22.0 3.0 71 1 5 inaccurate ephemeris in B11 1605.01 4.93916 1.8 3.3 1.4 25 1 5 offset; but low SNR and short duration may affect TTs a Putative radius of planet in Earth radii (from B11) b Typical Signal to Noise Ratio of an individual transit
  • 67. – 67 – c Transit duration (from B11) d Number of transit times measured in Q0-2 e Number of transiting planet candidates for host star f 1=patternto eye, 2=trend or periodicity, 3=excess scatter and no trend, 4=low S/N per transit and/or few transits, 5=note about difficulty measuring TTs
  • 68. – 68 – Appendix Here we provide an appendix (online only) of TTVs for several Kepler planet candidates of particular interest. The TT are plotted relative to the EL 5 ephemeris provided by B11. Using the Q0-Q2 ephemeris would cause the weighted average of TTVs was zero. Thus, an offset of the weighted average of plotted TTVs (relative to zero) and/or a slope of the TTVs may indicate a gradual change in the orbital period between the ephemeris measured based on Q0-2 and the ephemeris based on Q0-5 data and provided in B11. TTV Candidates
  • 69. – 69 – KOI 010.01
  • 83. – 83 – Weak TTV Candidates