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Proceedings Paper

Transiting planet search in the Kepler pipeline
Author(s): Jon M. Jenkins; Hema Chandrasekaran; Sean D. McCauliff; Douglas A. Caldwell; Peter Tenenbaum; Jie Li; Todd C. Klaus; Miles T. Cote; Christopher Middour
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Paper Abstract

The Kepler Mission simultaneously measures the brightness of more than 160,000 stars every 29.4 minutes over a 3.5-year mission to search for transiting planets. Detecting transits is a signal-detection problem where the signal of interest is a periodic pulse train and the predominant noise source is non-white, non-stationary (1/f) type process of stellar variability. Many stars also exhibit coherent or quasi-coherent oscillations. The detection algorithm first identifies and removes strong oscillations followed by an adaptive, wavelet-based matched filter. We discuss how we obtain super-resolution detection statistics and the effectiveness of the algorithm for Kepler flight data.

Paper Details

Date Published: 19 July 2010
PDF: 11 pages
Proc. SPIE 7740, Software and Cyberinfrastructure for Astronomy, 77400D (19 July 2010); doi: 10.1117/12.856764
Show Author Affiliations
Jon M. Jenkins, NASA Ames Research Ctr. (United States)
Hema Chandrasekaran, NASA Ames Research Ctr. (United States)
Lawrence Livermore National Lab. (United States)
Sean D. McCauliff, NASA Ames Research Ctr. (United States)
Douglas A. Caldwell, NASA Ames Research Ctr. (United States)
Peter Tenenbaum, NASA Ames Research Ctr. (United States)
Jie Li, NASA Ames Research Ctr. (United States)
Todd C. Klaus, NASA Ames Research Ctr. (United States)
Miles T. Cote, NASA Ames Research Ctr. (United States)
Christopher Middour, 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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