skip to main content
10.1145/1276958.1277106acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
Article

Using evolution strategies for automatic extraction of parameters for stellar population synthesis of galaxy spectra from sdss

Published: 07 July 2007 Publication History

Abstract

In this work we employ Evolution Strategies (ES) to automatically extract a set of physical parameters (ages, metallicities, reddening and contributions) from a sample of galaxy spectra taken from Sloan Digital Sky Survey (SDSS) for stellar populations studies. We pose this parameter extraction as an optimization problem and then solve it using ES. The idea is to reconstruct each galactic spectrum from the sample by means of a linear combination of three different theoretical models of stellar population synthesis. This combination produces a model spectrum that is compared with the original spectrum using a difference function. The goal is to find a model that minimizes this difference, using ES as the algorithm to explore the parameter space.

Reference

[1]
R. C. Fernandes, A. Mateus, L. Sodré, G. Stasin'ska, and J. Gomes. Semi-empirical analysis of sloan digital sky survey galaxies - i. spectral synthesis method. Monthly Notices of the Royal Astronomical Society, 358(2):363--378, April 2005

Index Terms

  1. Using evolution strategies for automatic extraction of parameters for stellar population synthesis of galaxy spectra from sdss

        Recommendations

        Comments

        Information & Contributors

        Information

        Published In

        cover image ACM Conferences
        GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
        July 2007
        2313 pages
        ISBN:9781595936974
        DOI:10.1145/1276958

        Sponsors

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 07 July 2007

        Permissions

        Request permissions for this article.

        Check for updates

        Author Tags

        1. fitting of spectra
        2. global optimization

        Qualifiers

        • Article

        Conference

        GECCO07
        Sponsor:

        Acceptance Rates

        GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
        Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

        Contributors

        Other Metrics

        Bibliometrics & Citations

        Bibliometrics

        Article Metrics

        • 0
          Total Citations
        • 85
          Total Downloads
        • Downloads (Last 12 months)0
        • Downloads (Last 6 weeks)0
        Reflects downloads up to 16 Feb 2025

        Other Metrics

        Citations

        View Options

        Login options

        View options

        PDF

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        Figures

        Tables

        Media

        Share

        Share

        Share this Publication link

        Share on social media