A crash course on data analysis in asteroseismology

Abstract

In this course, I try to provide a few basics required for performing data analysis in asteroseismology. First, I address how one can properly treat times series: the sampling, the filtering effect, the use of Fourier transform, the associated statistics. Second, I address how one can apply statistics for decision making and for parameter estimation either in a frequentist of a Bayesian framework. Last, I review how these basic principle have been applied (or not) in asteroseismology.

Lecture notes of the 22nd Canary Island Winter School. 38 pages, 6 figures, 1 appendix. Version 1.2