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  1. OA@INAF
  2. PRODOTTI RICERCA INAF
  3. 1 CONTRIBUTI IN RIVISTE (Journal articles)
  4. 1.01 Articoli in rivista
Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12386/28658
Title: The first maps of κd - the dust mass absorption coefficient - in nearby galaxies, with DustPedia
Authors: Clark, C. J. R.
De Vis, P.
Baes, M.
BIANCHI, SIMONE 
CASASOLA, VIVIANA 
CASSARA, LETIZIA PASQUA 
Davies, J. I.
Dobbels, W.
Lianou, S.
De Looze, I.
Evans, R.
Galametz, M.
Galliano, F.
Jones, A. P.
Madden, S. C.
Mosenkov, A. V.
Verstocken, S.
Viaene, S.
Xilouris, E. M.
Ysard, N.
Issue Date: 2019
Journal: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 
Number: 489
Issue: 4
First Page: 5256
Abstract: The dust mass absorption coefficient, κd is the conversion function used to infer physical dust masses from observations of dust emission. However, it is notoriously poorly constrained, and it is highly uncertain how it varies, either between or within galaxies. Here we present the results of a proof-of-concept study, using the DustPedia data for two nearby face-on spiral galaxies M 74 (NGC 628) and M 83 (NGC 5236), to create the first ever maps of κ<SUB>d</SUB> in galaxies. We determine κ<SUB>d</SUB> using an empirical method that exploits the fact that the dust-to-metals ratio of the interstellar medium is constrained by direct measurements of the depletion of gas-phase metals. We apply this method pixel-by-pixel within M 74 and M 83, to create maps of κ<SUB>d</SUB>. We also demonstrate a novel method of producing metallicity maps for galaxies with irregularly sampled measurements, using the machine learning technique of Gaussian process regression. We find strong evidence for significant variation in κ<SUB>d</SUB>. We find values of κ<SUB>d</SUB> at 500 μm spanning the range 0.11-0.25 m^{2 kg^{-1}} in M 74, and 0.15-0.80 m^{2 kg^{-1}} in M 83. Surprisingly, we find that κ<SUB>d</SUB> shows a distinct inverse correlation with the local density of the interstellar medium. This inverse correlation is the opposite of what is predicted by standard dust models. However, we find this relationship to be robust against a large range of changes to our method - only the adoption of unphysical or highly unusual assumptions would be able to suppress it.
URI: http://hdl.handle.net/20.500.12386/28658
URL: https://academic.oup.com/mnras/article/489/4/5256/5549843
ISSN: 0035-8711
DOI: 10.1093/mnras/stz2257
Bibcode ADS: 2019MNRAS.489.5256C
Fulltext: open
Appears in Collections:1.01 Articoli in rivista

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