Application of the Trend Filtering Algorithm in the search for multiperiodic signals

Details Application of the Trend Filtering Algorithm in the search for multiperiodic signals Application of the Trend Filtering Algorithm in the search for multiperiodic signals

2008-12-15

arxiv.org/abs/0812.2824v1

Astronomy and Astrophysics

Astrophysics

6 pages with 4 figures, contributed talk presented at the HELAS Workshop "Interpretation of Asteroseismic Data" (Wroclaw, June

Scientific paper

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.

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