Characterizing the Transit Signal Detection Efficiency of the Kepler Pipeline

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

Measuring the population distribution of planets from Kepler requires an accurate understanding of the efficiency of the pipeline for detecting transiting planet signals. The Transiting Planet Search (TPS) module of the pipeline is responsible for identifying candidate transit signals. Early versions of TPS operated on a single quarters worth of Kepler data, and the candidate transit signal's significance, so-called Multiple Event Statistic (MES), was the only quantity used to select candidate transit signals for follow up scrutiny in the pipeline. More recent versions of TPS operate on multiple quarters of Kepler data, and additional selection criteria are now employed to select candidate transit signals for follow up. We describe how the selection criteria in TPS have evolved, and their impact on the pipeline efficiency for recovering transit signals. Understanding the selection criteria in TPS is critical for accurately constraining the underlying planet population with Kepler data.

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