UV to submillimetre luminosity functions of TNG50 galaxies

We apply the radiative transfer (RT) code skirt on a sample of ∼14000 low-redshift (z ≤ 0.1) galaxies extracted from the TNG50 simulation to enable an apples-to-apples comparison with observations. The RT procedure is calibrated via comparison of a subsample of TNG50 galaxies with the DustPedia obse...

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Hauptverfasser: Trčka, Ana (VerfasserIn) , Baes, Maarten (VerfasserIn) , Camps, Peter (VerfasserIn) , Kapoor, Anand Utsav (VerfasserIn) , Nelson, Dylan (VerfasserIn) , Pillepich, Annalisa (VerfasserIn) , Barrientos, Daniela (VerfasserIn) , Hernquist, Lars (VerfasserIn) , Marinacci, Federico (VerfasserIn) , Vogelsberger, Mark (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 2022 August 16
In: Monthly notices of the Royal Astronomical Society
Year: 2022, Jahrgang: 516, Heft: 3, Pages: 3728-3749
ISSN:1365-2966
DOI:10.1093/mnras/stac2277
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/mnras/stac2277
Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/mnras/article/516/3/3728/6668804
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Verfasserangaben:Ana Trčka, Maarten Baes, Peter Camps, Anand Utsav Kapoor, Dylan Nelson, Annalisa Pillepich, Daniela Barrientos, Lars Hernquist, Federico Marinacci and Mark Vogelsberger
Beschreibung
Zusammenfassung:We apply the radiative transfer (RT) code skirt on a sample of ∼14000 low-redshift (z ≤ 0.1) galaxies extracted from the TNG50 simulation to enable an apples-to-apples comparison with observations. The RT procedure is calibrated via comparison of a subsample of TNG50 galaxies with the DustPedia observational sample: we compare several luminosity and colour scaling relations and spectral energy distributions in different specific SFR bins. We consistently derive galaxy luminosity functions for the TNG50 simulation in 14 broad-band filters from UV to submillimetre wavelengths and investigate the effects of the aperture, orientation, radiative transfer recipe, and numerical resolution.
Beschreibung:Gesehen am 07.11.2023
Beschreibung:Online Resource
ISSN:1365-2966
DOI:10.1093/mnras/stac2277