
Proceedings Paper
Data validation in the Kepler Science Operations Center pipelineFormat | Member Price | Non-Member Price |
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Paper Abstract
We present an overview of the Data Validation (DV) software component and its context within the Kepler Science
Operations Center (SOC) pipeline and overall Kepler Science mission. The SOC pipeline performs a transiting planet
search on the corrected light curves for over 150,000 targets across the focal plane array. We discuss the DV strategy for
automated validation of Threshold Crossing Events (TCEs) generated in the transiting planet search. For each TCE, a
transiting planet model is fitted to the target light curve. A multiple planet search is conducted by repeating the transiting
planet search on the residual light curve after the model flux has been removed; if an additional detection occurs, a
planet model is fitted to the new TCE. A suite of automated tests are performed after all planet candidates have been
identified. We describe a centroid motion test to determine the significance of the motion of the target photocenter
during transit and to estimate the coordinates of the transit source within the photometric aperture; a series of eclipsing
binary discrimination tests on the parameters of the planet model fits to all transits and the sequences of odd and even
transits; and a statistical bootstrap to assess the likelihood that the TCE would have been generated purely by chance
given the target light curve with all transits removed.
Paper Details
Date Published: 19 July 2010
PDF: 12 pages
Proc. SPIE 7740, Software and Cyberinfrastructure for Astronomy, 774019 (19 July 2010); doi: 10.1117/12.856630
Published in SPIE Proceedings Vol. 7740:
Software and Cyberinfrastructure for Astronomy
Nicole M. Radziwill; Alan Bridger, Editor(s)
PDF: 12 pages
Proc. SPIE 7740, Software and Cyberinfrastructure for Astronomy, 774019 (19 July 2010); doi: 10.1117/12.856630
Show Author Affiliations
Hayley Wu, NASA Ames Research Ctr. (United States)
Joseph D. Twicken, NASA Ames Research Ctr. (United States)
Peter Tenenbaum, NASA Ames Research Ctr. (United States)
Bruce D. Clarke, NASA Ames Research Ctr. (United States)
Jie Li, NASA Ames Research Ctr. (United States)
Elisa V. Quintana, NASA Ames Research Ctr. (United States)
Christopher Allen, NASA Ames Research Ctr. (United States)
Hema Chandrasekaran, Lawrence Livermore National Lab. (United States)
Joseph D. Twicken, NASA Ames Research Ctr. (United States)
Peter Tenenbaum, NASA Ames Research Ctr. (United States)
Bruce D. Clarke, NASA Ames Research Ctr. (United States)
Jie Li, NASA Ames Research Ctr. (United States)
Elisa V. Quintana, NASA Ames Research Ctr. (United States)
Christopher Allen, NASA Ames Research Ctr. (United States)
Hema Chandrasekaran, Lawrence Livermore National Lab. (United States)
Jon M. Jenkins, NASA Ames Research Ctr. (United States)
Douglas A. Caldwell, NASA Ames Research Ctr. (United States)
Bill Wohler, NASA Ames Research Ctr. (United States)
Forrest Girouard, NASA Ames Research Ctr. (United States)
Sean McCauliff, NASA Ames Research Ctr. (United States)
Miles T. Cote, NASA Ames Research Ctr. (United States)
Todd C. Klaus, NASA Ames Research Ctr. (United States)
Douglas A. Caldwell, NASA Ames Research Ctr. (United States)
Bill Wohler, NASA Ames Research Ctr. (United States)
Forrest Girouard, NASA Ames Research Ctr. (United States)
Sean McCauliff, NASA Ames Research Ctr. (United States)
Miles T. Cote, NASA Ames Research Ctr. (United States)
Todd C. Klaus, NASA Ames Research Ctr. (United States)
Published in SPIE Proceedings Vol. 7740:
Software and Cyberinfrastructure for Astronomy
Nicole M. Radziwill; Alan Bridger, Editor(s)
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