Paper
19 July 2010 Transiting planet search in the Kepler pipeline
Jon M. Jenkins, Hema Chandrasekaran, Sean D. McCauliff, Douglas A. Caldwell, Peter Tenenbaum, Jie Li, Todd C. Klaus, Miles T. Cote, Christopher Middour
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jon M. Jenkins, Hema Chandrasekaran, Sean D. McCauliff, Douglas A. Caldwell, Peter Tenenbaum, Jie Li, Todd C. Klaus, Miles T. Cote, and Christopher Middour "Transiting planet search in the Kepler pipeline", Proc. SPIE 7740, Software and Cyberinfrastructure for Astronomy, 77400D (19 July 2010); https://doi.org/10.1117/12.856764
Lens.org Logo
CITATIONS
Cited by 97 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Stars

Planets

Wavelets

Linear filtering

Signal processing

Electronic filtering

Data modeling

Back to Top