Transiting planet search in the Kepler pipeline | Zendy

Jon M. Jenkins | Zendy; Hema Chandrasekaran | Zendy; Sean McCauliff | Zendy; Douglas A. Caldwell | Zendy; Peter Tenenbaum | Zendy; Jie Li | Zendy; Todd C. Klaus | Zendy; Miles T. Cote | Zendy; Christopher K. Middour | Zendy

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Transiting planet search in the Kepler pipeline

Author(s) -

Jon M. Jenkins,

Hema Chandrasekaran,

Sean McCauliff,

Douglas A. Caldwell,

Peter Tenenbaum,

Jie Li,

Todd C. Klaus,

Miles T. Cote,

Christopher K. Middour

Publication year - 2010

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.856764

Subject(s) - planet , physics , brightness , stars , exoplanet , wavelet , astronomy , kepler , signal (programming language) , matched filter , adaptive optics , computer science , astrophysics , artificial intelligence , optics , detector , programming language

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.

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