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A Bayesian method for the analysis of the dust emission in the Far-Infrared and Submillimeter

Veneziani, M. and Placentini, F. and Noriega-Crespo, A. and Carey, S. and Paladini, R. and Paradis, D. (2013) A Bayesian method for the analysis of the dust emission in the Far-Infrared and Submillimeter. Astrophysical Journal, 772 (1). Art. No. 56. ISSN 0004-637X. doi:10.1088/0004-637X/772/1/56.

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We present a method, based on Bayesian statistics, to fit the dust emission parameters in the far-infrared and submillimeter wavelengths. The method estimates the dust temperature and spectral emissivity index, plus their relationship, properly taking into account the statistical and systematic uncertainties. We test it on three sets of simulated sources detectable by the Herschel Space Observatory in the PACS and SPIRE spectral bands (70-500 μm), spanning over a wide range of dust temperatures. The simulated observations are a one-component interstellar medium and two two-component sources, both warm (H II regions) and cold (cold clumps (CCs)). We first define a procedure to identify the better model, then we recover the parameters of the model and measure their physical correlations by means of a Markov Chain Monte Carlo algorithm adopting multi-variate Gaussian priors. In this process, we assess the reliability of the model recovery and of parameter estimation. We conclude that the model and parameters are properly recovered only under certain circumstances and that false models may be derived in some cases. We applied the method to a set of 91 starless CCs in an interarm region of the Galactic plane with low star formation activity, observed by Herschel in the Hi-GAL survey. Our results are consistent with a temperature-independent spectral index.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper DOIArticle
Noriega-Crespo, A.0000-0002-6296-8960
Carey, S.0000-0002-0221-6871
Paladini, R.0000-0002-5158-243X
Alternate Title:Bayesian method for the analysis of the dust emission in the Far-Infrared and Submillimeter
Additional Information:© 2013 American Astronomical Society. Received 2012 May 15; accepted 2013 May 14; published 2013 July 5. M.V. acknowledges ASI support via contract I/038/080/0. The authors thank the anonymous referee for helpful suggestions that greatly improved the quality of the paper.
Group:Infrared Processing and Analysis Center (IPAC)
Funding AgencyGrant Number
Agenzia Spaziale Italiana (ASI)I/038/080/0
Subject Keywords:H II regions; infrared: ISM; ISM: clouds; methods: data analysis; methods: statistical; surveys
Issue or Number:1
Record Number:CaltechAUTHORS:20130521-075321071
Persistent URL:
Official Citation:A Bayesian Method for the Analysis of the Dust Emission in the Far-infrared and Submillimeter M. Veneziani et al. 2013 ApJ 772 56
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:38585
Deposited By: Ruth Sustaita
Deposited On:21 May 2013 15:10
Last Modified:09 Nov 2021 23:38

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