Bayesian frequency analysis of HD 201433 observations with BRITE

Author(s)

T. Kallinger, W. W. Weiss

Abstract

Multiple oscillation frequencies separated by close to or less than the

formal frequency resolution of a data set are a serious problem in the

frequency analysis of time series data. We present a new and fully

automated Bayesian approach that searches for close frequencies in time

series data and assesses their significance by comparison to no signal

and a mono-periodic signal. We extensively test the approach with

synthetic data sets and apply it to the 156 days-long high-precision

BRITE photometry of the SPB star HD 201433, for which we find a sequence

of nine statistically significant rotationally split dipole modes.

Organisation(s)

Department of Astrophysics

Journal

Proceedings of the Polish Astronomical Society

Publication date

11-2016

Austrian Fields of Science 2012

103004 Astrophysics

Keywords

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