An Introduction to Data Analysis in Asteroseismology

TL;DR

This paper provides a practical overview of data analysis methods used in asteroseismology, focusing on signal processing, spectral analysis, and parameter extraction for stars with solar-like oscillations.

Contribution

It introduces key data analysis concepts and techniques tailored for asteroseismology, guiding researchers through the workflow from signal acquisition to parameter extraction.

Findings

Overview of digital signal processing in asteroseismology

Techniques for extracting global and individual mode parameters

Guidance on peak-bagging and spectral analysis workflows

Abstract

A practical guide is presented to some of the main data analysis concepts and techniques employed contemporarily in the asteroseismic study of stars exhibiting solar-like oscillations. The subjects of digital signal processing and spectral analysis are introduced first. These concern the acquisition of continuous physical signals to be subsequently digitally analyzed. A number of specific concepts and techniques relevant to asteroseismology are then presented as we follow the typical workflow of the data analysis process, namely, the extraction of global asteroseismic parameters and individual mode parameters (also known as peak-bagging) from the oscillation spectrum.