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Extracting oscillation frequencies from data: various approaches

Published online by Cambridge University Press:  18 February 2014

C. A. Engelbrecht
C. A. Engelbrecht*
Affiliation:
Department of Physics, University of Johannesburg, PO Box 524, Auckland Park 2006, South Africa email: chrise@uj.ac.za
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Abstract

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Asteroseismology depends absolutely on the detection of authentic pulsation signatures in stars. A variety of mathematical and statistical tools have been developed to extract such signatures from photometric and spectroscopic time series. The earliest tools were developed on the platform of Fourier analysis, and Fourier-based methodology still plays a major part in the detection of pulsation signatures in the present day. Alternative approaches have been gaining ground in recent years. This article offers a brief but broad review of the various methodologies for detecting authentic periodic signals that have been developed over the past few decades, including examples of their pitfalls and successes.

Keywords

methods: data analysismethods: statisticalstars: oscillations
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 9 , Symposium S301: Precision Asteroseismology , August 2013 , pp. 77 - 84
Copyright
Copyright © International Astronomical Union 2014 

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