The expectation maximization algorithm as a powerful tool to solve the stellar membership in open clusters: An application to M67 | Zendy

A. Uribe | Zendy; Ruth Barrera | Zendy; E. Brieva | Zendy

Open Access

The expectation maximization algorithm as a powerful tool to solve the stellar membership in open clusters: An application to M67

Author(s) -

A. Uribe,

Ruth Barrera,

E. Brieva

Publication year - 2006

Publication title -

serbian astronomical journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.196

H-Index - 16

eISSN - 1820-9289

pISSN - 1450-698X

DOI - 10.2298/saj0673057u

Subject(s) - open cluster , physics , cluster (spacecraft) , stars , maximization , sky , bivariate analysis , algorithm , astrophysics , computer science , machine learning , mathematical optimization , mathematics , programming language

The EM algorithm is a powerful tool to solve the membership problem in open clusters when a mixture density model overlaping two heteroscedastic bivariate normal components is built to fit the cloud of relative proper motions of the stars in a region of the sky where a cluster is supposed to be. A membership study of 1866 stars located in the region of the very old open cluster M67 is carried out via the Expectation Maximization algorithm using the McLachlan, Peel, Basford and Adams EMMIX software

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