Résumé / Abstract Seminaire_IAP
« Where exoplanets meet cosmology: probabilistic modeling of astrophysics data  »

David Hogg
Center Cosmology Particle Physics, Physics Dept., New York Univ. (New York, New York, Etats-Unis d'Amérique)

The future of both fields - cosmology and exoplanets - relies on finding increasingly subtle signals in increasingly large data sets. I show that the most effective methods for performing these investigations involve probabilistic generative models, which include a likelihood or probability of the raw (or fairly raw) data, and priors over what turn out to be abundant (exceedingly abundant) nuisance parameters. The methods are all computationally expensive, but I show off some successes in large-scale structure experiments, quasar astrophysics, Milky Way dynamics, high dynamic-range imaging, and transit discovery.
vendredi 8 juin 2012 - 11:00
Amphithéâtre Henri Mineur, Institut d'Astrophysique de Paris
Page web du séminaire / Seminar's webpage