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JINGLE - V. Dust properties of nearby galaxies derived from hierarchical Bayesian SED fitting

文献类型:期刊论文

AuthorLamperti, Isabella1; Saintonge, Amelie1; De Looze, Ilse1,2; Accurso, Gioacchino1; Clark, Christopher J. R.3; Smith, Matthew W. L.4; Wilson, Christine D.5; Brinks, Elias6; Brown, Toby5; Bureau, Martin7
SourceMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Issued Date2019-11-01
Volume489Issue:3Pages:4389-4417
ISSN0035-8711
Keyworddust, extinction galaxies: evolution galaxies: ISM submillimetre: ISM
DOI10.1093/mnras/stz2311
Corresponding AuthorLamperti, Isabella(isabellalamperti@gmail.com)
English AbstractWe study the dust properties of 192 nearby galaxies from the JINGLE survey using photometric data in the 22-850 mu m range. We derive the total dust mass, temperature T, and emissivity index ss of the galaxies through the fitting of their spectral energy distribution (SED) using a single modified blackbody model (SMBB). We apply a hierarchical Bayesian approach that reduces the known degeneracy between T and ss. Applying the hierarchical approach, the strength of the T-ss anticorrelation is reduced from a Pearson correlation coefficient R=-0.79 to R=-0.52. For the JINGLE galaxies we measure dust temperatures in the range 17-30 K and dust emissivity indices ss in the range 0.6-2.2. We compare the SMBB model with the broken emissivity law modified blackbody (BMBB) and the two modified blackbody (TMBB) models. The results derived with the SMBB and TMBB are in good agreement, thus applying the SMBB, which comes with fewer free parameters, does not penalize the measurement of the cold dust properties in the JINGLE sample. We investigate the relation between T and ss and other global galaxy properties in the JINGLE and Herschel Reference Survey (HRS) sample. We find that ss correlates with the stellar mass surface density (R = 0.62) and anticorrelates with the HI mass fraction (M-HI/M-*, R = -0.65), whereas the dust temperature correlates strongly with the star formation rate normalized by the dust mass (R = 0.73). These relations can be used to estimate T and ss in galaxies with insufficient photometric data available to measure them directly through SED fitting.
WOS KeywordSPECTRAL ENERGY-DISTRIBUTION ; JCMT LEGACY SURVEY ; INFRARED-EMISSION ; INTERSTELLAR DUST ; HERSCHEL-ATLAS ; COLD DUST ; MODEL ; GAS ; EVOLUTION ; GROWTH
WOS Research AreaAstronomy & Astrophysics
Language英语
WOS IDWOS:000489288600109
PublisherOXFORD UNIV PRESS
源URL[http://libir.pmo.ac.cn/handle/332002/28292]  
Collection中国科学院紫金山天文台
Corresponding AuthorLamperti, Isabella
Affiliation1.UCL, Dept Phys & Astron, Gower St, London WC1E 6BT, England
2.Univ Ghent, Sterrenkundig Observ, Krijgslaan 281 S9, B-9000 Ghent, Belgium
3.Space Telescope Sci Inst, 3700 San Martin Dr, Baltimore, MD 21218 USA
4.Cardiff Univ, Sch Phys & Astron, Queens Bldg, Cardiff CF24 3AA, Wales
5.McMaster Univ, Dept Phys & Astron, Hamilton, ON L8S 4M1, Canada
6.Univ Hertfordshire, Ctr Astrophys Res, Coll Lane, Hatfield AL10 9AB, Herts, England
7.Univ Oxford, Subdept Astrophys, Denys Wilkinson Bldg,Keble Rd, Oxford OX1 3RH, England
8.Imperial Coll, Phys Dept, Blackett Lab, London SW7 2AZ, England
9.Univ Cent Lancashire, Jeremiah Horrocks Inst, Sch Phys Sci & Comp, Preston PR1 2HE, Lancs, England
10.Korea Astron & Space Sci Inst, 776 Daedeokdae Ro, Daejeon 34055, South Korea
Recommended Citation
GB/T 7714
Lamperti, Isabella,Saintonge, Amelie,De Looze, Ilse,et al. JINGLE - V. Dust properties of nearby galaxies derived from hierarchical Bayesian SED fitting[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2019,489(3):4389-4417.
APA Lamperti, Isabella.,Saintonge, Amelie.,De Looze, Ilse.,Accurso, Gioacchino.,Clark, Christopher J. R..,...&Yang, Chentao.(2019).JINGLE - V. Dust properties of nearby galaxies derived from hierarchical Bayesian SED fitting.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,489(3),4389-4417.
MLA Lamperti, Isabella,et al."JINGLE - V. Dust properties of nearby galaxies derived from hierarchical Bayesian SED fitting".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 489.3(2019):4389-4417.

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