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DirtyGrid I : 3D dust radiative transfer modeling of spectral energy distributions of dusty stellar populations

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Abstract
Understanding the properties of stellar populations and interstellar dust has important implications for galaxy evolution. In normal star-forming galaxies, stars and the interstellar medium dominate the radiation from ultraviolet (UV) to infrared (IR). In particular, interstellar dust absorbs and scatters UV and optical light, re-emitting the absorbed energy in the IR. This is a strongly nonlinear process that makes independent studies of the UV-optical and IR susceptible to large uncertainties and degeneracies. Over the years, UV to IR spectral energy distribution (SED) fitting utilizing varying approximations has revealed important results on the stellar and dust properties of galaxies. Yet the approximations limit the fidelity of the derived properties. There is sufficient computer power now available that it is now possible to remove these approximations and map out of landscape of galaxy SEDs using full dust radiative transfer. This improves upon previous work by directly connecting the UV, optical, and IR through dust grain physics. We present the DIRTYGrid, a grid of radiative transfer models of SEDs of dusty stellar populations in galactic environments designed to span the full range of physical parameters of galaxies. Using the stellar and gas radiation input from the stellar population synthesis model PEGASE, our radiative transfer model DIRTY self-consistently computes the UV to far-IR/sub-mm SEDs for each set of parameters in our grid. DIRTY computes the dust absorption, scattering, and emission from the local radiation field and a dust grain model, thereby physically connecting the UV-optical to the IR. We describe the computational method and explain the choices of parameters in DIRTYGrid. The computation took millions of CPU hours on supercomputers, and the SEDs produced are an invaluable tool for fitting multi-wavelength data sets. We provide the complete set of SEDs in an online table.
Keywords
dust, extinction, galaxies: star formation, methods: numerical, STAR-FORMING GALAXIES, MULTIBAND IMAGING PHOTOMETER, SPITZER-SPACE-TELESCOPE, SMALL-MAGELLANIC-CLOUD, INITIAL MASS FUNCTION, DIGITAL SKY SURVEY, INFRARED-EMISSION, INTERSTELLAR DUST, ABSOLUTE CALIBRATION, NEARBY GALAXIES

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MLA
Law, Ka-Hei, et al. “DirtyGrid I : 3D Dust Radiative Transfer Modeling of Spectral Energy Distributions of Dusty Stellar Populations.” ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, vol. 236, no. 2, 2018, doi:10.3847/1538-4365/aabf41.
APA
Law, K.-H., Gordon, K., & Misselt, K. A. (2018). DirtyGrid I : 3D dust radiative transfer modeling of spectral energy distributions of dusty stellar populations. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 236(2). https://doi.org/10.3847/1538-4365/aabf41
Chicago author-date
Law, Ka-Hei, Karl Gordon, and Karl A. Misselt. 2018. “DirtyGrid I : 3D Dust Radiative Transfer Modeling of Spectral Energy Distributions of Dusty Stellar Populations.” ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 236 (2). https://doi.org/10.3847/1538-4365/aabf41.
Chicago author-date (all authors)
Law, Ka-Hei, Karl Gordon, and Karl A. Misselt. 2018. “DirtyGrid I : 3D Dust Radiative Transfer Modeling of Spectral Energy Distributions of Dusty Stellar Populations.” ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES 236 (2). doi:10.3847/1538-4365/aabf41.
Vancouver
1.
Law K-H, Gordon K, Misselt KA. DirtyGrid I : 3D dust radiative transfer modeling of spectral energy distributions of dusty stellar populations. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES. 2018;236(2).
IEEE
[1]
K.-H. Law, K. Gordon, and K. A. Misselt, “DirtyGrid I : 3D dust radiative transfer modeling of spectral energy distributions of dusty stellar populations,” ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, vol. 236, no. 2, 2018.
@article{8656148,
  abstract     = {Understanding the properties of stellar populations and interstellar dust has important implications for galaxy evolution. In normal star-forming galaxies, stars and the interstellar medium dominate the radiation from ultraviolet (UV) to infrared (IR). In particular, interstellar dust absorbs and scatters UV and optical light, re-emitting the absorbed energy in the IR. This is a strongly nonlinear process that makes independent studies of the UV-optical and IR susceptible to large uncertainties and degeneracies. Over the years, UV to IR spectral energy distribution (SED) fitting utilizing varying approximations has revealed important results on the stellar and dust properties of galaxies. Yet the approximations limit the fidelity of the derived properties. There is sufficient computer power now available that it is now possible to remove these approximations and map out of landscape of galaxy SEDs using full dust radiative transfer. This improves upon previous work by directly connecting the UV, optical, and IR through dust grain physics. We present the DIRTYGrid, a grid of radiative transfer models of SEDs of dusty stellar populations in galactic environments designed to span the full range of physical parameters of galaxies. Using the stellar and gas radiation input from the stellar population synthesis model PEGASE, our radiative transfer model DIRTY self-consistently computes the UV to far-IR/sub-mm SEDs for each set of parameters in our grid. DIRTY computes the dust absorption, scattering, and emission from the local radiation field and a dust grain model, thereby physically connecting the UV-optical to the IR. We describe the computational method and explain the choices of parameters in DIRTYGrid. The computation took millions of CPU hours on supercomputers, and the SEDs produced are an invaluable tool for fitting multi-wavelength data sets. We provide the complete set of SEDs in an online table.},
  articleno    = {32},
  author       = {Law, Ka-Hei and Gordon, Karl and Misselt, Karl A.},
  issn         = {0067-0049},
  journal      = {ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES},
  keywords     = {dust,extinction,galaxies: star formation,methods: numerical,STAR-FORMING GALAXIES,MULTIBAND IMAGING PHOTOMETER,SPITZER-SPACE-TELESCOPE,SMALL-MAGELLANIC-CLOUD,INITIAL MASS FUNCTION,DIGITAL SKY SURVEY,INFRARED-EMISSION,INTERSTELLAR DUST,ABSOLUTE CALIBRATION,NEARBY GALAXIES},
  language     = {eng},
  number       = {2},
  pages        = {13},
  title        = {DirtyGrid I : 3D dust radiative transfer modeling of spectral energy distributions of dusty stellar populations},
  url          = {http://dx.doi.org/10.3847/1538-4365/aabf41},
  volume       = {236},
  year         = {2018},
}

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