Automated Determination of Stellar Population Parameters in Galaxies Using Active Instance-based Learning

Details Automated Determination of Stellar Population Parameters in Galaxies Using Active Instance-based Learning Automated Determination of Stellar Population Parameters in Galaxies Using Active Instance-based Learning

2003-12-02

arxiv.org/abs/astro-ph/0312073v1

Astronomy and Astrophysics

Astrophysics

4 pages, 1 figure, To appear in Proceedings of ADASS XIII, Strasbourg, October 2003

Scientific paper

In this work we focus on the determination of the relative distributions of young, intermediate-age and old populations of stars in galaxies. Starting from a grid of theoretical population synthesis models we constructed a set of model galaxies with a distribution of ages, metallicities and intrinsic reddening. Using this set we have explored a new fitting method that presents several advantages over conventional methods. We propose an optimization technique that combines active learning with an instance-based machine learning algorithm. Experimental results show that this method can estimate with high speed and accuracy the physical parameters of the stellar populations.

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