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Extracting parameters for stellar populations of SDSS galaxy spectra using evolution strategies

Published online by Cambridge University Press:  01 August 2006

Juan C. Gomez
Affiliation:
Computer Science Department, Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro 1, Tonantzintla, Puebla 72840, México email: jcgc@inaoep.mx, fuentes@inaoep.mx
Olac Fuentes
Affiliation:
Computer Science Department, Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro 1, Tonantzintla, Puebla 72840, México email: jcgc@inaoep.mx, fuentes@inaoep.mx
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Current surveys from modern observatories contain a huge amount of information; in particular, the Sloan Digital Sky Survey (SDSS) has reached the order of terabytes of data in images and spectra. Such amount of information needs to be exploited by sophisticated algorithms that automatically analyze the data in order to extract useful knowledge from the mega databases.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2007