Kepler Presearch Data Conditioning I—Architecture and Algorithms for Error Correction in Kepler Light Curves
MCMartin C. StumpeJCJeffrey C. SmithJEJeffrey E. Van CleveJDJoseph D. TwickenTSThomas S. Barclay
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Abstract
Kepler provides light curves of 156,000 stars with unprecedented precision. However, the raw data as they come from the spacecraft contain significant systematic and stochastic errors. These errors, which include discontinuities, systematic trends, and outliers, obscure the astrophysical signals in the light curves. To correct these errors is the task of the Presearch Data Conditioning (PDC) module of the Kepler data analysis pipeline. The original version of PDC in Kepler did not meet the extremely high performance requirements for the detection of miniscule planet transits or highly accurate analysis of stellar activity and rotation. One particular deficiency was that astrophysical features were often…
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Authors
11- MCMartin C. StumpeCorresponding
- JCJeffrey C. Smith
- JEJeffrey E. Van Cleve
- JDJoseph D. Twicken
- TSThomas S. Barclay
Topics & keywords
Topics
Keywords
- Kepler
- Light curve
- Spacecraft
- Planet
- Stars
- Star (game theory)
- Bayesian probability
- Systematic error
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