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

Dr. Hannu Parviainen

Abstract

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.

About the talk

Search for weak periodic signals buried in noisy time series using modern Bayesian methods: secondary eclipses in Kepler light curves
Dr. Hannu Parviainen
University of Oxford
Tuesday February 10, 2015
en     en

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