The Physical Conditions in Starbursts Derived from Bayesian Fitting of Mid-infrared Spectral Energy Distribution Models: 30 Doradus as a Template

dc.contributor.authorMartinez-Galarza, J. R
dc.contributor.authorGroves, Brent
dc.contributor.authorBrandl, B
dc.contributor.authorde Messieres, G. E.
dc.contributor.authorIndebetouw, R
dc.contributor.authorDopita, Michael
dc.date.accessioned2015-12-10T22:12:06Z
dc.date.issued2011
dc.date.updated2016-02-24T09:54:10Z
dc.description.abstractTo understand and interpret the observed spectral energy distributions (SEDs) of starbursts, theoretical or semi-empirical SED models are necessary. Yet, while they are well founded in theory, independent verification and calibration of these models, including the exploration of possible degeneracies between their parameters, are rarely made. As a consequence, a robust fitting method that leads to unique and reproducible results has been lacking. Here we introduce a novel approach based on Bayesian analysis to fit the Spitzer-Infrared Spectrometer spectra of starbursts using the SED models proposed by Groves et al.. We demonstrate its capabilities and verify the agreement between the derived best-fit parameters and actual physical conditions by modeling the nearby, well-studied, giant H II region 30 Doradus in the LMC. The derived physical parameters, such as cluster mass, cluster age, interstellar medium pressure, and covering fraction of photodissociation regions, are representative of the 30 Doradus region. The inclusion of the emission lines in the modeling is crucial to break degeneracies. We investigate the limitations and uncertainties by modeling subregions, which are dominated by single components, within 30 Doradus. A remarkable result for 30 Doradus in particular is a considerable contribution to its mid-infrared spectrum from hot (300K) dust. The demonstrated success of our approach will allow us to derive the physical conditions in more distant, spatially unresolved starbursts.
dc.identifier.issn0004-637X
dc.identifier.urihttp://hdl.handle.net/1885/49480
dc.publisherIOP Publishing
dc.rightsAuthor/s retain copyrighten_AU
dc.sourceAstrophysical Journal, The
dc.subjectKeywords: Hii regions; infrared: ISM; ISM: individual objects (30 Dor); methods: statistical; stars: formation; techniques: spectroscopic
dc.titleThe Physical Conditions in Starbursts Derived from Bayesian Fitting of Mid-infrared Spectral Energy Distribution Models: 30 Doradus as a Template
dc.typeJournal article
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue2
local.bibliographicCitation.lastpage15
local.bibliographicCitation.startpageA176
local.contributor.affiliationMartinez-Galarza, J. R, Leiden Observatory at Leiden University
local.contributor.affiliationGroves, Brent A, Leiden University
local.contributor.affiliationBrandl, B, Leiden Observatory at Leiden University
local.contributor.affiliationde Messieres, G. E., University of Virginia
local.contributor.affiliationIndebetouw, R, University of Virginia
local.contributor.affiliationDopita, Michael, College of Physical and Mathematical Sciences, ANU
local.contributor.authoremailu7501303@anu.edu.au
local.contributor.authoruidDopita, Michael, u7501303
local.description.notesImported from ARIES
local.identifier.absfor020110 - Stellar Astronomy and Planetary Systems
local.identifier.absseo970102 - Expanding Knowledge in the Physical Sciences
local.identifier.ariespublicationu3356449xPUB187
local.identifier.citationvolume738
local.identifier.doi10.1088/0004-637X/738/2/176
local.identifier.scopusID2-s2.0-80052799152
local.identifier.thomsonID000294954200058
local.identifier.uidSubmittedByu3356449
local.type.statusPublished Version

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