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Asteroseismic Data AnalysisFoundations and Techniques$
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Sarbani Basu and William J. Chaplin

Print publication date: 2017

Print ISBN-13: 9780691162928

Published to Princeton Scholarship Online: May 2018

DOI: 10.23943/princeton/9780691162928.001.0001

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Observational Data: Analysis of the Frequency Spectrum

Observational Data: Analysis of the Frequency Spectrum

Chapter:
(p.153) 6 Observational Data: Analysis of the Frequency Spectrum
Source:
Asteroseismic Data Analysis
Author(s):

Sarbani Basu

William J. Chaplin

Publisher:
Princeton University Press
DOI:10.23943/princeton/9780691162928.003.0006

This chapter is an analysis of the frequency-power spectrum. It first discusses the probabilistic methods for detecting signatures of individual modes in the spectrum, including schemes that incorporate a Bayesian framework for the analysis. The chapter then turns to the automated detection of the ensemble signatures of the oscillations. Next, this chapter considers the detailed peak-bagging analysis, where a multiparameter model is fitted to the spectrum to provide robust estimates of parameters of the individual modes. It introduces the fundamentals, discusses the practical implementation and challenges, and finally considers the additional challenges posed by subgiants and red giants showing mixed modes.

Keywords:   frequency-power spectrum, Bayesian framework, automated detection, peak-bagging analysis, mixed modes

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