Estimation of stellar parameters using Monte Carlo Markov Chains
Astrophysics
2008-03-19 v1
Abstract
We apply Monte Carlo Markov Chain methods to the stellar parameter estimation problem. This technique is useful when dealing with non-linear models and allows to derive realistic error bars on the inferred parameters. We give the first results obtained for alpha Cen A.
Cite
@article{arxiv.0803.2529,
title = {Estimation of stellar parameters using Monte Carlo Markov Chains},
author = {M. Bazot and S. Bourguignon and J. Christensen-Dalsgaard},
journal= {arXiv preprint arXiv:0803.2529},
year = {2008}
}
Comments
3 pages, 1 figures, to appear in "Memorie della Societa' Astronomica Italiana", Vol. 79 No. 2, eds. S. Cassisi & M. Salaris. Proceedings of the Cefalu' 2007 Workshop "XXI Century challenges for stellar evolution", Cefalu' (Sicily, Italy), August 29 - September 2, 2007