2017
DOI: 10.1051/0004-6361/201629426
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Diversity of dwarf galaxy IR-submm emission patterns: CLUES from hydrodynamical simulations

Abstract: Context. The spectral energy distributions (SEDs) of low-mass low-metallicity (dwarf) galaxies are a challenging piece of the puzzle of galaxy formation in the near Universe. These SEDs show some particular features in the submillimeter to far-infrared wavelength range compared to normal larger galaxies that cannot be explained by the current models. Aims. We aim to explain the particular emission features of low-mass low-metallicity galaxies in the IR-submm range, which are: a broadening of the IR peak, which… Show more

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Cited by 6 publications
(4 citation statements)
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References 143 publications
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“…Properly comparing the results of these simulations with observations requires a detailed three-dimensional radiation transfer analysis taking into account the effects of dust on the stellar radiation. This calculation is usually performed as a post-processing step starting from a specific snapshot produced by the hydro-dynamical simulation (see, e.g., Calore et al 2015;Bignone et al 2016;Camps et al 2016;Santos-Santos et al 2017;Guidi et al 2018;Lahén et al 2018;Behrens et al 2018;Ma et al 2019;Vogelsberger et al 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Properly comparing the results of these simulations with observations requires a detailed three-dimensional radiation transfer analysis taking into account the effects of dust on the stellar radiation. This calculation is usually performed as a post-processing step starting from a specific snapshot produced by the hydro-dynamical simulation (see, e.g., Calore et al 2015;Bignone et al 2016;Camps et al 2016;Santos-Santos et al 2017;Guidi et al 2018;Lahén et al 2018;Behrens et al 2018;Ma et al 2019;Vogelsberger et al 2019).…”
Section: Introductionmentioning
confidence: 99%
“…The CLUES-GASOLINE simulation has been described in more detail by Santos-Santos et al (2016). It has also been analysed in Santos-Santos et al (2017) and Mostoghiu et al (2018).…”
Section: Simulationmentioning
confidence: 99%
“…In the past decade, many authors have taken this route to generate synthetic observables for cosmological (zoom) simulations (e.g., Jonsson et al 2010;Lanz et al 2014;Granato et al 2015;Bignone et al 2016;Camps et al 2016;Trayford et al 2017;Santos-Santos et al 2017;Lahén et al 2018;Gjergo et al 2018;Barber et al 2018;Narayanan et al 2018;Rodriguez-Gomez et al 2019;Ma et al 2019;Cochrane et al 2019;Liang et al 2019;Vogelsberger et al 2020b;Parsotan et al 2021;Lovell et al 2021;Granato et al 2021). Some also prepare data sets for public use.…”
Section: Introductionmentioning
confidence: 99%