Projects per year
Abstract
The detailed modelling of stellar oscillations is a powerful approach to characterising stars. However, poor treatment of systematics in theoretical models leads to misinterpretations of stars. Here we propose a more principled statistical treatment for the systematics to be applied to fitting individual mode frequencies with a typical stellar model grid. We introduce a correlated noise model based on a Gaussian Process (GP) kernel to describe the systematics given that mode frequency systematics are expected to be highly correlated. We show that tuning the GP kernel can reproduce general features of frequency variations for changing model input physics and fundamental parameters. Fits with the correlated noise model better recover stellar parameters than traditional methods which either ignore the systematics or treat them as uncorrelated noise.
Original language | English |
---|---|
Pages (from-to) | 80-90 |
Number of pages | 11 |
Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 523 |
Issue number | 1 |
Early online date | 12 May 2023 |
DOIs | |
Publication status | Published - Jul 2023 |
Keywords
- methods: statistical
- stars: oscillation
Fingerprint
Dive into the research topics of 'Systematics in asteroseismic modelling: application of a correlated noise model for oscillation frequencies'. Together they form a unique fingerprint.Projects
- 1 Active