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Measuring Transit Signal Recovery in the Kepler Pipeline II: Detection Efficiency as Calculated in One Year of Data

Christiansen, Jessie L. and Clarke, Bruce D. and Burke, Christopher J. and Seader, Shawn and Jenkins, Jon M. and Twicken, Joseph D. and Catanzarite, Joseph D. and Smith, Jeffrey C. and Batalha, Natalie M. and Haas, Michael R. and Thompson, Susan E. and Campbell, Jennifer R. and Sabale, Anima and Uddin, Akm Kamal (2015) Measuring Transit Signal Recovery in the Kepler Pipeline II: Detection Efficiency as Calculated in One Year of Data. Astrophysical Journal, 810 (2). Art. No. 95. ISSN 0004-637X.

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The Kepler planet sample can only be used to reconstruct the underlying planet occurrence rate if the detection efficiency of the Kepler pipeline is known; here we present the results of a second experiment aimed at characterizing this detection efficiency. We inject simulated transiting planet signals into the pixel data of ~10,000 targets, spanning one year of observations, and process the pixels as normal. We compare the set of detections made by the pipeline with the expectation from the set of simulated planets, and construct a sensitivity curve of signal recovery as a function of the signal-to-noise of the simulated transit signal train. The sensitivity curve does not meet the hypothetical maximum detection efficiency; however, it is not as pessimistic as some of the published estimates of the detection efficiency. For the FGK stars in our sample, the sensitivity curve is well fit by a gamma function with the coefficients a = 4.35 and b = 1.05. We also find that the pipeline algorithms recover the depths and periods of the injected signals with very high fidelity, especially for periods longer than 10 days. We perform a simplified occurrence rate calculation using the measured detection efficiency compared to previous assumptions of the detection efficiency found in the literature to demonstrate the systematic error introduced into the resulting occurrence rates. The discrepancies in the calculated occurrence rates may go some way toward reconciling some of the inconsistencies found in the literature.

Item Type:Article
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URLURL TypeDescription Paper DOIArticle
Christiansen, Jessie L.0000-0002-8035-4778
Jenkins, Jon M.0000-0002-4715-9460
Thompson, Susan E.0000-0001-7106-4683
Additional Information:© 2015 The American Astronomical Society. Received 2015 January 8; accepted 2015 July 12; published 2015 September 2. Funding for the Kepler Discovery Mission is provided by NASA’s Science Mission Directorate. The authors acknowledge the efforts of the Kepler Mission team for obtaining the calibrated pixels, light curves and data validation diagnostics data used in this publication. These data products were generated by the Kepler Mission science pipeline through the efforts of the Kepler Science Operations Center and Science Office. The Kepler Mission is lead by the project office at NASA Ames Research Center. Ball Aerospace built the Kepler photometer and spacecraft which is operated by the mission operations center at LASP. These data products are archived at the Mikulski Archive for Space Telescopes and the NASA Exoplanet Archive. J.L.C. is supported by NASA under award No. GRNASM99G000001.
Funding AgencyGrant Number
Subject Keywords:methods: data analysis – techniques: photometric
Issue or Number:2
Record Number:CaltechAUTHORS:20151020-113630815
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:61330
Deposited By: Tony Diaz
Deposited On:20 Oct 2015 18:48
Last Modified:14 Oct 2019 23:30

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