Determining dust temperatures and masses in the Herschel era: the importance of observations longward of 200 micron
K. D. Gordon, F. Galliano, S. Hony, J.-P. Bernard, A. Bolatto, C. Bot,, C. Engelbracht, A. Hughes, F. P. Israel, F. Kemper, S. Kim, A. Li, S. C., Madden, M. Matsuura, M. Meixner, K. Misselt, K. Okumura, P. Panuzzo, M., Rubio, W. T. Reach, J. Roman-Duval, M. Sauvage, R. Skibba

TL;DR
This study demonstrates the critical importance of including observations beyond 200 microns, especially from Herschel SPIRE, for accurately determining dust temperatures and masses in galaxies.
Contribution
It quantifies how adding >200 micron data significantly improves the accuracy of dust property estimates and explores the origin of the 500 micron excess emission.
Findings
Dust temperature estimates can differ by up to 10% without >200 micron data.
Dust mass estimates can differ by up to 36% without >200 micron data.
A lambda^-1.5 emissivity law best fits the 100-350 micron data.
Abstract
The properties of the dust grains (e.g., temperature and mass) can be derived from fitting far-IR SEDs (>100 micron). Only with SPIRE on Herschel has it been possible to get high spatial resolution at 200 to 500 micron that is beyond the peak (~160 micron) of dust emission in most galaxies. We investigate the differences in the fitted dust temperatures and masses determined using only <200 micron data and then also including >200 micron data (new SPIRE observations) to determine how important having >200 micron data is for deriving these dust properties. We fit the 100 to 350 micron observations of the Large Magellanic Cloud (LMC) point-by-point with a model that consists of a single temperature and fixed emissivity law. The data used are existing observations at 100 and 160 micron (from IRAS and Spitzer) and new SPIRE observations of 1/4 of the LMC observed for the HERITAGE Key Project…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
