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Spectral energy distribution modelling of southern candidate massive protostars using the Bayesian inference method

Identifieur interne : 007D74 ( Main/Exploration ); précédent : 007D73; suivant : 007D75

Spectral energy distribution modelling of southern candidate massive protostars using the Bayesian inference method

Auteurs : T. Hill [Pays-Bas, Australie, Royaume-Uni] ; C. Pinte ; V. Minier [France] ; M. G. Burton [Australie] ; M. R. Cunningham [Australie]

Source :

RBID : ISTEX:1AC21634C54338E906E35A48A0AE8E5A5085CEC0

Descripteurs français

English descriptors

Abstract

Concatenating data from the millimetre regime to the infrared, we have performed spectral energy distribution (SED) modelling for 227 of the 405 millimetre continuum sources of Hill et al. which are thought to contain young massive stars in the earliest stages of their formation. Three main parameters are extracted from the fits: temperature, mass and luminosity. The method employed was the Bayesian inference, which allows a statistically probable range of suitable values for each parameter to be drawn for each individual protostellar candidate. This is the first application of this method to massive star formation. The cumulative distribution plots of the SED modelled parameters in this work indicate that collectively, the sources without methanol maser and/or radio continuum associations (MM‐only cores) display similar characteristics to those of high‐mass star formation regions. Attributing significance to the marginal distinctions between the MM‐only cores and the high‐mass star formation sample, we draw hypotheses regarding the nature of the MM‐only cores, including the possibility that the population itself comprises different types of source, and discuss their role in the formation scenarios of massive star formation. In addition, we discuss the usefulness and limitations of SED modelling and its application to the field. From this work, it is clear that within the valid parameter ranges, SEDs utilising current far‐infrared data cannot be used to determine the evolution of massive protostars or massive young stellar objects.

Url:
DOI: 10.1111/j.1365-2966.2008.14103.x


Affiliations:


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<term>Bayesian inference method</term>
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<term>Journal compilation</term>
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<term>Mass parameter</term>
<term>Mass values</term>
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<term>Median value</term>
<term>Median values</term>
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<term>Radiative transfer modelling</term>
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<div type="abstract" xml:lang="en">Concatenating data from the millimetre regime to the infrared, we have performed spectral energy distribution (SED) modelling for 227 of the 405 millimetre continuum sources of Hill et al. which are thought to contain young massive stars in the earliest stages of their formation. Three main parameters are extracted from the fits: temperature, mass and luminosity. The method employed was the Bayesian inference, which allows a statistically probable range of suitable values for each parameter to be drawn for each individual protostellar candidate. This is the first application of this method to massive star formation. The cumulative distribution plots of the SED modelled parameters in this work indicate that collectively, the sources without methanol maser and/or radio continuum associations (MM‐only cores) display similar characteristics to those of high‐mass star formation regions. Attributing significance to the marginal distinctions between the MM‐only cores and the high‐mass star formation sample, we draw hypotheses regarding the nature of the MM‐only cores, including the possibility that the population itself comprises different types of source, and discuss their role in the formation scenarios of massive star formation. In addition, we discuss the usefulness and limitations of SED modelling and its application to the field. From this work, it is clear that within the valid parameter ranges, SEDs utilising current far‐infrared data cannot be used to determine the evolution of massive protostars or massive young stellar objects.</div>
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