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POWDERDAY: Dust Radiative Transfer for Galaxy Simulations

  • Authors: Desika Narayanan, Matthew J. Turk, Thomas Robitaille, Ashley J. Kelly, B. Connor McClellan, Ray S Sharma, Prerak Garg, Matthew Abruzzo, Ena Choi, Charlie Conroy, Benjamin D. Johnson, Benjamin Kimock, Qi Li, Christopher C. Lovell, Sidney Lower, George C. Privon, Jonathan Roberts, Snigdaa Sethuram, Gregory F. Snyder, Robert Thompson, and John H. Wise

2021 The Astrophysical Journal Supplement Series 252 12.

  • Provider: AAS Journals

Caption: Figure 4.

Impact of different choices for modeling dust on derived SEDs. We investigate modeling the dust via a simple dust-to-metals ratio (DTM), following the Rémy-Ruyer et al. (2014) observational scaling with metallicity on galaxy-wide scales, using the Li et al. (2019) best-fit relation between the dust-to-gas ratio and metallicity from simulated galaxies, an explicit on-the-fly dust calculation, and via the Li et al. (2019) machine-learning framework. In the top panel, we show the actual SEDs from these models, and in the bottom panel, the relative errors. The model employed here was GALAXY9 from the z = 0 snapshot of the m25n512 SIMBA simulation.

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