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Title: Using Evolution Strategies for Automatic Extraction of Parameters for Stellar Population Synthesis of Galaxy Spectra from SDSS
Authors: Gomez, Juan Carlos
Fuentes, Olac #
Issue Date: 2007
Publisher: Assoc computing machinery
Host Document: Gecco 2007: genetic and evolutionary computation conference, vol 1 and 2 pages:722-722
Conference: Annual Conference of Genetic and Evolutionary Computation Conference location:London, England date:7-11 July 2007
Abstract: In this work we employ Evolution Strategies (ES) to automatically extract a set of physical parameters (ages, metalicities, reddening and contributions) from a sample of galaxy spectra taken front 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 front 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.
ISBN: 978-1-59593-697-4
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Non-KU Leuven Association publications
# (joint) last author

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