Presearch data conditioning in the Kepler Science Operations Center pipeline

Joseph D. Twicken; Hema Chandrasekaran; Jon M. Jenkins; Jay P. Gunter; Forrest Girouard; Todd C. Klaus

doi:10.1117/12.856798

19 July 2010 Presearch data conditioning in the Kepler Science Operations Center pipeline

Joseph D. Twicken, Hema Chandrasekaran, Jon M. Jenkins, Jay P. Gunter, Forrest Girouard, Todd C. Klaus

Proceedings Volume 7740, Software and Cyberinfrastructure for Astronomy; 77401U (2010) https://doi.org/10.1117/12.856798
Event: SPIE Astronomical Telescopes + Instrumentation, 2010, San Diego, California, United States

Abstract

We describe the Presearch Data Conditioning (PDC) software component and its context in the Kepler Science Operations Center (SOC) Science Processing Pipeline. The primary tasks of this component are to correct systematic and other errors, remove excess flux due to aperture crowding, and condition the raw flux light curves for over 160,000 long cadence (~thirty minute) and 512 short cadence (~one minute) stellar targets. Long cadence corrected flux light curves are subjected to a transiting planet search in a subsequent pipeline module. We discuss science algorithms for long and short cadence PDC: identification and correction of unexplained (i.e., unrelated to known anomalies) discontinuities; systematic error correction; and removal of excess flux due to aperture crowding. We discuss the propagation of uncertainties from raw to corrected flux. Finally, we present examples from Kepler flight data to illustrate PDC performance. Corrected flux light curves produced by PDC are exported to the Multi-mission Archive at Space Telescope [Science Institute] (MAST) and are made available to the general public in accordance with the NASA/Kepler data release policy.

Citation Download Citation

Joseph D. Twicken, Hema Chandrasekaran, Jon M. Jenkins, Jay P. Gunter, Forrest Girouard, and Todd C. Klaus "Presearch data conditioning in the Kepler Science Operations Center pipeline", Proc. SPIE 7740, Software and Cyberinfrastructure for Astronomy, 77401U (19 July 2010); https://doi.org/10.1117/12.856798

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