January 18, 2010 , Tuesdays 11:30am-12:30pm / the Miller Room, Rockefeller 221 (or Friday 12:30 pm-1:30 pm when so noted).
Marisa March , Imperial College
A new method for cosmological parameter estimation from Supernovae Type Ia data
We present a new methodology to extract constraints on cosmological parameters from SNIa data obtained with the SALT lightcurve fitter. The power of our Bayesian method lies in its full exploitation of relevant prior information, which is ignored by the usual chisquare approach. Using realistic simulated data sets we demonstrate that our method outperforms the usual chisquare approach 2/3 of the times. A further benefit of our methodology is its ability to produce a posterior probability distribution for the intrinsic dispersion of SNe. This feature can also be used to detect hidden systematics in the data.
Host: Glenn Starkman