The University of Arizona

Bayesian approaches in Astrophysics data analysis

Modeling, Computation, Nonlinearity, Randomness and Waves Seminar

Bayesian approaches in Astrophysics data analysis
Series: Modeling, Computation, Nonlinearity, Randomness and Waves Seminar
Location: MATH 402
Presenter: Graca Rocha, NASA Jet Propulsion Laboratory, CalTech

 

This talk will give an overview of a few Bayesian methods implemented for Astrophysics data analysis. These examples include algorithms for the analysis of the Cosmic Microwave background (CMB) data from Planck satellite and analysis of Exoplanet high contrast imaging data such as Gemini Planet Imager, GPI, data.  A discussion of Bayesian object detection algorithms in both CMB and Exoplanet data will be provided.