SCYON Abstract

Received on May 29 2010

Fitting Isochrones to Open Cluster photometric data: A new global optimization tool

Authors	H. Monteiro, W.S. Dias, and T.C. Caetano
Affiliation	UNIFEI, DFQ - Instituto de Ciencias Exatas, Universidade Federal de Itajuba, Itajuba MG, Brazil
Accepted by	Astronomy & Astrophysics
Contact	hektor.monteiro@gmail.com
URL	http://arxiv.org/abs/1003.4230
Links	NGC 2477 / NGC 7044 / NGC 2266 / Berkeley 32 / NGC 2682 / NGC 2506 / NGC 2355 / Mellote 105 / Trumpler 1

Abstract

We present a new technique to fit color-magnitude diagrams of open clusters based on the Cross-Entropy global optimization algorithm. The method uses theoretical isochrones available in the literature and maximizes a weighted likelihood function based on distances measured in the color-magnitude space. The weights are obtained through a non parametric technique that takes into account the star distance to the observed center of the cluster, observed magnitude uncertainties, the stellar density profile of the cluster among others. The parameters determined simultaneously are distance, reddening, age and metallicity. The method takes binary fraction into account and uses a Monte-Carlo approach to obtain uncertainties on the determined parameters for the cluster by running the fitting algorithm many times with a re-sampled data set through a bootstrapping procedure. We present results for 9 well studied open clusters, based on 15 distinct data sets, and show that the results are consistent with previous studies. The method is shown to be reliable and free of the subjectivity of most previous visual isochrone fitting techniques.