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Title: CIGALEMC: GALAXY PARAMETER ESTIMATION USING A MARKOV CHAIN MONTE CARLO APPROACH WITH CIGALE

Abstract

We introduce a fast Markov Chain Monte Carlo (MCMC) exploration of the astrophysical parameter space using a modified version of the publicly available code Code Investigating GALaxy Emission (CIGALE). The original CIGALE builds a grid of theoretical spectral energy distribution (SED) models and fits to photometric fluxes from ultraviolet to infrared to put constraints on parameters related to both formation and evolution of galaxies. Such a grid-based method can lead to a long and challenging parameter extraction since the computation time increases exponentially with the number of parameters considered and results can be dependent on the density of sampling points, which must be chosen in advance for each parameter. MCMC methods, on the other hand, scale approximately linearly with the number of parameters, allowing a faster and more accurate exploration of the parameter space by using a smaller number of efficiently chosen samples. We test our MCMC version of the code CIGALE (called CIGALEMC) with simulated data. After checking the ability of the code to retrieve the input parameters used to build the mock sample, we fit theoretical SEDs to real data from the well-known and -studied Spitzer Infrared Nearby Galaxy Survey sample. We discuss constraints on the parameters andmore » show the advantages of our MCMC sampling method in terms of accuracy of the results and optimization of CPU time.« less

Authors:
; ; ;  [1]; ; ;  [2];  [3]
  1. Astrophysics Branch, NASA/Ames Research Center, MS 245-6, Moffett Field, CA 94035 (United States)
  2. Observatoire Astronomique de Marseille-Provence, 38 rue Frederic Joliot-Curie, 13388 Marseille Cedex 13 (France)
  3. Institut fuer Astro- und Teilchenphysik, Universitaet Innsbruck, Technikerstr.25/8, 6020 Innsbruck (Austria)
Publication Date:
OSTI Identifier:
21587427
Resource Type:
Journal Article
Journal Name:
Astrophysical Journal
Additional Journal Information:
Journal Volume: 740; Journal Issue: 1; Other Information: DOI: 10.1088/0004-637X/740/1/22; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0004-637X
Country of Publication:
United States
Language:
English
Subject:
79 ASTROPHYSICS, COSMOLOGY AND ASTRONOMY; C CODES; DATA ANALYSIS; ENERGY SPECTRA; GALACTIC EVOLUTION; GALAXIES; MONTE CARLO METHOD; SIMULATION; CALCULATION METHODS; COMPUTER CODES; EVOLUTION; SPECTRA

Citation Formats

Serra, Paolo, Amblard, Alexandre, Temi, Pasquale, Im, Stephen, Burgarella, Denis, Giovannoli, Elodie, Buat, Veronique, and Noll, Stefan. CIGALEMC: GALAXY PARAMETER ESTIMATION USING A MARKOV CHAIN MONTE CARLO APPROACH WITH CIGALE. United States: N. p., 2011. Web. doi:10.1088/0004-637X/740/1/22; COUNTRY OF INPUT: INTERNATIONAL ATOMIC ENERGY AGENCY (IAEA).
Serra, Paolo, Amblard, Alexandre, Temi, Pasquale, Im, Stephen, Burgarella, Denis, Giovannoli, Elodie, Buat, Veronique, & Noll, Stefan. CIGALEMC: GALAXY PARAMETER ESTIMATION USING A MARKOV CHAIN MONTE CARLO APPROACH WITH CIGALE. United States. https://doi.org/10.1088/0004-637X/740/1/22; COUNTRY OF INPUT: INTERNATIONAL ATOMIC ENERGY AGENCY (IAEA)
Serra, Paolo, Amblard, Alexandre, Temi, Pasquale, Im, Stephen, Burgarella, Denis, Giovannoli, Elodie, Buat, Veronique, and Noll, Stefan. 2011. "CIGALEMC: GALAXY PARAMETER ESTIMATION USING A MARKOV CHAIN MONTE CARLO APPROACH WITH CIGALE". United States. https://doi.org/10.1088/0004-637X/740/1/22; COUNTRY OF INPUT: INTERNATIONAL ATOMIC ENERGY AGENCY (IAEA).
@article{osti_21587427,
title = {CIGALEMC: GALAXY PARAMETER ESTIMATION USING A MARKOV CHAIN MONTE CARLO APPROACH WITH CIGALE},
author = {Serra, Paolo and Amblard, Alexandre and Temi, Pasquale and Im, Stephen and Burgarella, Denis and Giovannoli, Elodie and Buat, Veronique and Noll, Stefan},
abstractNote = {We introduce a fast Markov Chain Monte Carlo (MCMC) exploration of the astrophysical parameter space using a modified version of the publicly available code Code Investigating GALaxy Emission (CIGALE). The original CIGALE builds a grid of theoretical spectral energy distribution (SED) models and fits to photometric fluxes from ultraviolet to infrared to put constraints on parameters related to both formation and evolution of galaxies. Such a grid-based method can lead to a long and challenging parameter extraction since the computation time increases exponentially with the number of parameters considered and results can be dependent on the density of sampling points, which must be chosen in advance for each parameter. MCMC methods, on the other hand, scale approximately linearly with the number of parameters, allowing a faster and more accurate exploration of the parameter space by using a smaller number of efficiently chosen samples. We test our MCMC version of the code CIGALE (called CIGALEMC) with simulated data. After checking the ability of the code to retrieve the input parameters used to build the mock sample, we fit theoretical SEDs to real data from the well-known and -studied Spitzer Infrared Nearby Galaxy Survey sample. We discuss constraints on the parameters and show the advantages of our MCMC sampling method in terms of accuracy of the results and optimization of CPU time.},
doi = {10.1088/0004-637X/740/1/22; COUNTRY OF INPUT: INTERNATIONAL ATOMIC ENERGY AGENCY (IAEA)},
url = {https://www.osti.gov/biblio/21587427}, journal = {Astrophysical Journal},
issn = {0004-637X},
number = 1,
volume = 740,
place = {United States},
year = {Mon Oct 10 00:00:00 EDT 2011},
month = {Mon Oct 10 00:00:00 EDT 2011}
}