Transiting planet search in the Kepler pipeline 论文

2010Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE引用 226
Image and Signal Denoising MethodsStellar, planetary, and galactic studiesBlind Source Separation Techniques

摘要

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.