Extracting oscillation frequencies from data: Various approaches

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationPrecision Asteroseismology
EditorsJoyce Guzik, William Chaplin, William Chaplin, Gerald Handler, Andrzej Pigulski
Pages77-84
Number of pages8
EditionS301
DOIs
Publication statusPublished - 2014

Publication series

NameProceedings of the International Astronomical Union
NumberS301
Volume9
ISSN (Print)1743-9213
ISSN (Electronic)1743-9221

Keywords

  • methods: data analysis
  • methods: statistical
  • stars: oscillations

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Astronomy and Astrophysics
  • Nutrition and Dietetics
  • Public Health, Environmental and Occupational Health
  • Space and Planetary Science

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