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Assessment of Models of Galactic Thermal Dust Emission Using COBE/FIRAS and COBE/DIRBE Observations

Authors :
Odegard, N
Kogut, A
Chuss, D. T
Miller, N. J
Source :
The Astrophysical Journal. 828(1)
Publication Year :
2016
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2016.

Abstract

Accurate modeling of the spectrum of thermal dust emission at millimeter wavelengths is important for improving the accuracy of foreground subtraction for cosmic microwave background (CMB) measurements, for improving the accuracy with which the contributions of different foreground emission components can be determined, and for improving our understanding of dust composition and dust physics. We fit four models of dust emission to high Galactic latitude COBE/FIRAS and COBE/DIRBE observations from 3 mm to 100m and compare the quality of the fits. We consider the two-level systems (TLS) model because it provides a physically motivated explanation for the observed long wavelength flattening of the dust spectrum and the anti-correlation between emissivity index and dust temperature. We consider the model of Finkbeiner et al. because it has been widely used for CMB studies, and the generalized version of this model that was recently applied to Planck data by Meisner and Finkbeiner. For comparison we have also fit a phenomenological model consisting of the sum of two-graybody components. We find that the two-graybody model gives the best fit and the FDS model gives a significantly poorer fit than the othermodels. The Meisner and Finkbeiner model and the TLS model remain viable for use in Galactic foreground subtraction, but the FIRAS data do not have a sufficient signal-to-noise ratio to provide a strong test of the predicted spectrum at millimeter wavelengths.

Subjects

Subjects :
Astrophysics

Details

Language :
English
ISSN :
20418213 and 20418205
Volume :
828
Issue :
1
Database :
NASA Technical Reports
Journal :
The Astrophysical Journal
Notes :
NNG12PL17C, , NNX14AB76A
Publication Type :
Report
Accession number :
edsnas.20170002740
Document Type :
Report
Full Text :
https://doi.org/10.3847/0004-637X/828/1/16