Identifying False Alarms in the Kepler Planet Candidate Catalog

Kavli Affiliate: Christopher Burke

| First 5 Authors: F. Mullally, Jeffery L. Coughlin, Susan E. Thompson, Jessie Christiansen, Christopher Burke

| Summary:

We present a new automated method to identify instrumental features
masquerading as small, long period planets in the kepler planet candidate
catalog. These systematics, mistakenly identified as planet transits, can have
a strong impact on occurrence rate calculations because they cluster in a
region of parameter space where Kepler’s sensitivity to planets is poor. We
compare individual transit-like events to a variety of models of real transits
and systematic events, and use a Bayesian Information Criterion to evaluate the
likelihood that each event is real. We describe our technique and test its
performance on simulated data. Results from this technique are incorporated in
the kepler Q1-17 DR24 planet candidate catalog of citet{Coughlin15}.

| Search Query: ArXiv Query: search_query=au:”Christopher Burke”&id_list=&start=0&max_results=10

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