2008/12/15 by G. Kovács, G. Kovacs, G. Á. Bakos +3
Computer Science · Engineering · Mathematics · Physics and Astronomy · #Advanced Algorithms and Applications #Advanced Research in Science and Engineering #Astrophysics (astro-ph) #FOS: Physical sciences #Metaheuristic Optimization Algorithms Research #astro-ph
paper · pdf · doi:10.48550/arxiv.0812.2824
6 pages with 4 figures, contributed talk presented at the HELAS Workshop "Interpretation of Asteroseismic Data" (Wroclaw, June 2008), to appear in Communications in Asteroseismology
arxiv created 2008/12/15 · openalex publication_date 2008/12/15 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
During the past few years the Trend Filtering Algorithm (TFA) has become an important utility in filtering out time-dependent systematic effects in photometric databases for extrasolar planetary transit search. Here we present the extension of the method to multiperiodic signals and show the high efficiency of the signal detection over the direct frequency analysis on the original database derived by today's standard methods (e.g., aperture photometry). We also consider the (iterative) signal reconstruction that involves the proper extraction of the systematics. The method is demonstrated on the database of fields observed by the HATNet project. A preliminary variability statistics suggests incidence rates between 4 and 10% with many (sub)mmag amplitude variables.