Astronomy and Astrophysics – Astrophysics
Scientific paper
Jan 2012
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21915214c&link_type=abstract
American Astronomical Society, AAS Meeting #219, #152.14
Astronomy and Astrophysics
Astrophysics
Scientific paper
We describe the use of a Bayesian approach to determine several parameters for Galactic globular clusters (GGCs). These parameters include age, metallicity, distance modulus, reddening, binarity and cluster membership. By sampling the posterior distributions of these parameters using a Markov Chain Monte Carlo (MCMC) technique, we can produce parameter estimates with well quantified uncertainties. We use a grid of synthetic clusters with a range of parameters to assess any systematic effects of our approach on the resultant cluster properties. We then apply the code to a set of homogenous GGC photometric catalogs which we have generated. These catalogs consist of HST and 2MASS photometry ranging from near-UV to infrared bandpasses, allowing us to explore the influence of different filter combinations on recovered cluster parameters. Not only can these results be used to inform future large-scale investigations from an observational standpoint, but we also suggest several key areas of stellar astrophysics which may benefit from detailed studies incorporating our technique.
Cohen Roger
Dotter Aaron
Hippel Ted von
Jeffery Elizabeth
Montgomery Martin
No associations
LandOfFree
A Bayesian Approach to Parameters of Galactic Globular Clusters does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Bayesian Approach to Parameters of Galactic Globular Clusters, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Bayesian Approach to Parameters of Galactic Globular Clusters will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1576688