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
Indexed inarxivcrossref

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…

Citation impact

783
total citations
FWCI
19.16
Percentile
100%
References
18
Citations per year

Authors

11
  • MC
    Martin C. StumpeCorresponding
  • JC
    Jeffrey C. Smith
  • JE
    Jeffrey E. Van Cleve
  • JD
    Joseph D. Twicken
  • TS
    Thomas S. Barclay

Topics & keywords

Keywords
  • Kepler
  • Light curve
  • Spacecraft
  • Planet
  • Stars
  • Star (game theory)
  • Bayesian probability
  • Systematic error
No related works found for this paper.