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.
| Original language | English |
|---|---|
| Journal | Proceedings of the Polish Astronomical Society |
| Publication status | Published - 1 Nov 2016 |
Austrian Fields of Science 2012
- 103004 Astrophysics
Keywords
- Astrophysics - Solar and Stellar Astrophysics