Abstract

Abstract We re-examine the statistical confirmation of small long-period Kepler planet candidates in light of recent improvements in our understanding of the occurrence of systematic false alarms in this regime. Using the final Data Release 25 (DR25) Kepler planet candidate catalog statistics, we find that the previously confirmed single-planet system Kepler-452b no longer achieves a 99% confidence in the planetary hypothesis and is not considered statistically validated in agreement with the finding of Mullally et al. For multiple planet systems, we find that the planet prior enhancement for belonging to a multiple-planet system is suppressed relative to previous Kepler catalogs, and we also find that the multiple-planet system member, Kepler-186f, no longer achieves a 99% confidence level in the planetary hypothesis. Because of the numerous confounding factors in the data analysis process that leads to the detection and characterization of a signal, it is difficult to determine whether any one planetary candidate achieves a strict criterion for confirmation relative to systematic false alarms. For instance, when taking into account a simplified model of processing variations, the additional single-planet systems Kepler-443b, Kepler-441b, Kepler-1633b, Kepler-1178b, and Kepler-1653b have a non-negligible probability of falling below 99% confidence in the planetary hypothesis. The systematic false alarm hypothesis must be taken into account when employing statistical validation techniques in order to confirm planet candidates that approach the detection threshold of a survey. We encourage those performing transit searches of K2, TESS, and other similar data sets to quantify their systematic false alarm rates. Alternatively, independent photometric detection of the transit signal or radial velocity measurements can eliminate the false alarm hypothesis.

Highlights

  • The final Kepler DR 25 pipeline run (Twicken et al 2016) and Kepler science office Robovetter classification (Thompson et al 2018) provides an unprecedented uniform catalog of planet candidates for understanding the dynamics and occurrence outcomes of the planet formation process

  • We update the single and multiple planet system counts based upon the planet candidates identified around our control sample of Nt=75,522 well behaved G and K dwarfs observed by Kepler

  • The statistical validation technique has provided a bountiful population of planets with which to constrain the planetary system outcomes of planet formation

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Summary

Introduction

The final Kepler DR 25 pipeline run (Twicken et al 2016) and Kepler science office Robovetter classification (Thompson et al 2018) provides an unprecedented uniform catalog of planet candidates for understanding the dynamics and occurrence outcomes of the planet formation process. 2016) as well as false positive analysis taking durations, and faint host magnitudes. Statistical validation methods were developed to (Bryson et al 2017). Vet against astrophysical false positives for Kepler candidates

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