Search for weak periodic signals buried in noisy time series using modern Bayesian methods: secondary eclipses in Kepler light curves

Authors
Dr.
Hannu Parviainen
Date and time
10 Feb 2015 - 11:30 Europe/London
Address

Aula

Talk language
English
Slides language
English
Serie number
1
Description

Detection and characterisation of weak periodic signals from noisy time series is a common problem in many different fields of astrophysics. Here I detail one approach for testing whether a signal with roughly known characteristics exists in the data, using a search of secondary eclipses from Kepler-observed photometric time series as an example. The method is based on Bayesian model selection and uses Gaussian processes to model the stochastic variability in the data in non-parametric fashion.