2013
DOI: 10.1051/0004-6361/201220910
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The degeneracy between dust colour temperature and spectral index

Abstract: Context. Submillimetre dust emission provides information on the physics of interstellar clouds and dust. However, noise can produce a spurious anticorrelation between the colour temperature T C and the spectral index β. These artefacts must be separated from the intrinsic β(T ) relation of dust emission. Aims. We compare methods that can be used to analyse the β(T ) relation. We wish to quantify their accuracy and bias, especially for observations similar to those made with Planck and Herschel. Methods. We ex… Show more

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Cited by 67 publications
(86 citation statements)
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“…Potential problems include noise fluctuations and calibration uncertainties, and gradients in density and/or temperature along the line of sight (LOS) that may lead to non-convergence/inconsistent κ-values. Similar would apply to derived β-values, when one assumes that κ(ν) is given by a single power law of index β (e.g., Juvela et al 2013). The accuracy of our results below is limited to twice the statistical error of the intensity I ν at each frequency ν.…”
Section: Extended Dust Emissionmentioning
confidence: 96%
“…Potential problems include noise fluctuations and calibration uncertainties, and gradients in density and/or temperature along the line of sight (LOS) that may lead to non-convergence/inconsistent κ-values. Similar would apply to derived β-values, when one assumes that κ(ν) is given by a single power law of index β (e.g., Juvela et al 2013). The accuracy of our results below is limited to twice the statistical error of the intensity I ν at each frequency ν.…”
Section: Extended Dust Emissionmentioning
confidence: 96%
“…Compared with the χ 2 estimates, the main advantage of the MCMC method is that it maps the full probability distribution of the parameters Juvela et al 2013). This provides a much better picture of the actual uncertainties than the mere 1σ error estimates.…”
Section: Dust Emissivity Spectral Indexmentioning
confidence: 99%
“…Recently, alternative methods for fitting observational data with limited spectral coverage have been proposed, based on Bayesian or hierarchical models (Veneziani et al , 2013Kelly et al 2012;Juvela et al 2013). These new methods were developed specifically to limit the impact of instrumental noise on the estimated parameters.…”
Section: Implementation Of the Sed Fitmentioning
confidence: 99%