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

  • Isabella Lamperti (Department of Physics and Astronomy, University College London) ;
  • Amelie Saintonge (Department of Physics and Astronomy, University College London) ;
  • Ilse De Looze (Department of Physics and Astronomy, University College London) ;
  • Gioacchino Accurso (Department of Physics and Astronomy, University College London) ;
  • Christopher J. R. Clark (Space Telescope Science Institute) ;
  • Matthew W. L. Smith (School of Physics and Astronomy, Cardiff University) ;
  • Christine D. Wilson (Department of Physics and Astronomy, McMaster University) ;
  • Elias Brinks (Centre for Astrophysics Research, University of Hertfordshire) ;
  • Toby Brown (Department of Physics and Astronomy, McMaster University) ;
  • Martin Bureau (Sub-department of Astrophysics, University of Oxford) ;
  • David L. Clements (Blackett Laboratory, Physics Department, Imperial College) ;
  • Stephen Eales (School of Physics and Astronomy, Cardiff University) ;
  • David H. W. Glass (School of Physical Sciences and Computing, Jeremiah Horrocks Institute, University of Central Lancashire) ;
  • Ho Seong Hwang (Korea Astronomy and Space Science Institute) ;
  • Jong Chul Lee (Korea Astronomy and Space Science Institute) ;
  • Lihwai Lin (Institute of Astronomy and Astrophysics, Academia Sinica) ;
  • Michal J. Michalowski (Faculty of Physics, Astronomical Observatory Institute, Adam Mickiewicz University) ;
  • Mark Sargent (Astronomy Centre, Department of Physics and Astronomy, University of Sussex) ;
  • Thomas G. Williams (School of Physics and Astronomy, Cardiff University) ;
  • Ting Xiao (Shanghai Astronomical Observatory) ;
  • Chentao Yang (European Southern Observatory)
  • Received : 2019.08.01
  • Accepted : 2019.08.15
  • Published : 20191100

Abstract

We study the dust properties of 192 nearby galaxies from the JINGLE survey using photometric data in the 22-850 ㎛ range. We derive the total dust mass, temperature T, and emissivity index β 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 β. Applying the hierarchical approach, the strength of the T-β 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 β 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 β and other global galaxy properties in the JINGLE and Herschel Reference Survey (HRS) sample. We find that β correlates with the stellar mass surface density (R = 0.62) and anticorrelates with the H i mass fraction (MH i/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 β in galaxies with insufficient photometric data available to measure them directly through SED fitting.

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Acknowledgement

We thank Boris Leistedt, Frederic Galliano, Luca Cortese, and Lorne Whiteway for useful discussions. AS acknowledges support from the Royal Society through the award of a University Research Fellowship. IDL gratefully acknowledges the support of the Research Foundation Flanders (FWO). CDW acknowledges support from the Natural Science and Engineering Research Council of Canada and the Canada Research Chairs program. EB acknowledges support from the UK Science and Technology Facilities Council [grant number ST/M001008/1]. MJM acknowledges the support of the National Science Centre, Poland, through the SONATA BIS grant 2018/30/E/ST9/00208. The James Clerk Maxwell Telescope is operated by the East Asian Observatory on behalf of The National Astronomical Observatory of Japan; Academia Sinica Institute of Astronomy and Astrophysics; the Korea Astronomy and Space Science Institute; the Operation, Maintenance and Upgrading Fund for Astronomical Telescopes and Facility Instruments, budgeted from the Ministry of Finance (MOF) of China and administrated by the Chinese Academy of Sciences (CAS), as well as the National Key R&D Program of China (No. 2017YFA0402700). Additional funding support is provided by the Science and Technology Facilities Council of the United Kingdom and participating universities in the United Kingdom and Canada. The authors wish to recognize and acknowledge the very significant cultural role and reverence that the summit of Mauna Kea has always had within the indigenous Hawaiian community. We are most fortunate to have the opportunity to conduct observations from this mountain. This research has made use of data from HRS project. HRS is a Herschel Key Programme utilizing Guaranteed Time from the SPIRE instrument team, ESAC scientists, and a mission scientist. The HRS data was accessed through the Herschel Database in Marseille (HeDaM - http://hedam.lam.fr) operated by CeSAM and hosted by the Laboratoire d'Astrophysique de Marseille. This research made use of astropy, a community-developed core python package for Astronomy (The Astropy Collaboration 2013), matplotlib (Hunter 2007) and numpy (Van Der Walt, Colbert & Varoquaux 2011). This research used the topcat tool for catalogue cross-matching (Taylor 2005). This research used the stan interface for python pystan (Stan Development Team 2018). This research used the corner python package (Foreman-Mackey 2016).