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Resolved Stellar Population Modeling

Published online by Cambridge University Press:  01 December 2006

Antonio Aparicio ,
Sebastián L. Hidalgo ,
Carme Gallart  and
Santi Cassisi
Antonio Aparicio
Affiliation:
Departamento de Astrofísica, Universidad de La Laguna, Tenerife, Canary Islands, Spain email: antapaj@iac.es Instituto de Astrofísica de Canarias, Vía Láctea, La Laguna, Tenerife, Canary Islands, Spain
Sebastián L. Hidalgo
Affiliation:
University of Minnesota, Minneapolis, MN, USA
Carme Gallart
Affiliation:
Instituto de Astrofísica de Canarias, Vía Láctea, La Laguna, Tenerife, Canary Islands, Spain
Santi Cassisi
Affiliation:
INAF – Osservatorio di Collurania, Teramo, Italy
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Abstract

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IAC-pop is a code designed to solve the star formation history (SFH) of a complex stellar population system, like a galaxy, from the analysis of the color-magnitude diagram (CMD). It uses a genetic algorithm to minimize a χ2 merit function comparing the stellar distribution of an observed CMD and the stellar distributions of CMDs arising from linear combination of simple synthetic populations. To this purpose, IAC-star is used to compute a single seminal synthetic CMD from which the simple populations and their corresponding CMD stellar distributions are extracted.

In the current version, IAC-pop provides two different estimates of the errors in the SFH. It is offered for free use and can be downloaded from the site www.iac.es/iac-pop.html.

Keywords

galaxies: dwarfgalaxies: irregular(galaxies:) Local Groupgalaxies: stellar content(stars:) Hertzsprung-Russell diagramstars: statisticsmethods: numerical
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 2 , Symposium S241: Stellar Populations as Building Blocks of Galaxies , December 2006 , pp. 267 - 273
Copyright
Copyright © International Astronomical Union 2007

References

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