August 7-10, 2017

Abstract

‘Bayesian Magic’ in Asteroseismology

Thomas Kallinger (University of Vienna)

Only about ten years ago asteroseismic observations were so rare that scientists had plenty of time to work on individual data sets. They could tune their algorithms in any possible way to squeeze out the last bit of information. Nowadays this is impossible. With missions like MOST, CoRoT, Kepler, and BRITE-Constellation we basically drown in new data every day. To handle this in a sufficient way statistical methods become more and more important. This is why Bayesian techniques started their triumph march across asteroseismology. I will go with you on a journey through Bayesian Magic Land, that brings us to the sea of data post-processing, the forest of close peaks, and the stony alley of model comparison. Please bring resistant shoes and a rain jacket!

Mode of presentation need to be confirmed by the SOC