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

Viviana Acquaviva, Eric Gawiser, Lucia Guaita

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationThe Spectral Energy Distribution of Galaxies
EditorsRichard J. Tuffs, Cristina C. Popescu
Pages42-45
Number of pages4
EditionS284
DOIs
Publication statusPublished - Sept 2011
Externally publishedYes

Publication series

NameProceedings of the International Astronomical Union
NumberS284
Volume7
ISSN (Print)1743-9213
ISSN (Electronic)1743-9221

Keywords

  • galaxies: evolution
  • methods: statistical

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

Fingerprint

Dive into the research topics of 'SED fitting with MCMC: Methodology and application to large galaxy surveys'. Together they form a unique fingerprint.

Cite this