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SED fitting with MCMC: methodology and application to large galaxy surveys

Published online by Cambridge University Press:  17 August 2012

Viviana Acquaviva ,
Eric Gawiser  and
Lucia Guaita
Viviana Acquaviva
Affiliation:
Department of Physics and Astronomy, Rutgers, The State University of New Jersey, Piscataway, NJ 08854 email: vacquaviva@physics.rutgers.edu
Eric Gawiser
Affiliation:
Department of Physics and Astronomy, Rutgers, The State University of New Jersey, Piscataway, NJ 08854 email: vacquaviva@physics.rutgers.edu
Lucia Guaita
Affiliation:
Institutionen för Astronomi, Stockholms Universitet, SE-106 91 Stockholm, Sweden
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Abstract

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We present GalMC (Acquaviva et al. 2011), our publicly available Markov Chain Monte Carlo algorithm for SED fitting, show the results obtained for a stacked sample of Lyman Alpha Emitting galaxies at z ~ 3, and discuss the dependence of the inferred SED parameters on the assumptions made in modeling the stellar populations. We also introduce SpeedyMC, a version of GalMC based on interpolation of pre-computed template libraries. While the flexibility and number of SED fitting parameters is reduced with respect to GalMC, the average running time decreases by a factor of 20,000, enabling SED fitting of each galaxy in about one second on a 2.2GHz MacBook Pro laptop, and making SpeedyMC the ideal instrument to analyze data from large photometric galaxy surveys.

Keywords

methods: statisticalgalaxies: evolution
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 7 , Symposium S284: The Spectral Energy Distribution of Galaxies , September 2011 , pp. 42 - 45
Copyright
Copyright © International Astronomical Union 2012

References

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