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Galaxy Modelling -- I. Spectral Energy Distributions from Far-UV to Sub-mm Wavelengths

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arxiv astro-ph/9906332 v2 pith:4OYMLISM submitted 1999-06-21 astro-ph

classification astro-ph
keywords galaxiessedsspectraldustinfraredmodellingrangebroad
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(abridged) We present STARDUST, a new self-consistent modelling of the spectral energy distributions (SEDs) of galaxies from far-UV to radio wavelengths. In order to derive the SEDs in this broad spectral range, we first couple spectrophotometric and (closed-box) chemical evolutions to account for metallicity effects on the spectra of synthetic stellar populations. We then use a phenomenological fit for the metal-dependent extinction curve and a simple geometric distribution of the dust to compute the optical depth of galaxies and the corresponding obscuration curve. This enables us to calculate the fraction of stellar light reprocessed in the infrared range. In a final step, we define a dust model with various components and we fix the weights of these components in order to reproduce the IRAS correlation of IR colours with total IR luminosities. This allows us to compute far-IR SEDs that phenomenologically mimic observed trends. We are able to predict the spectral evolution of galaxies in a broad wavelength range, and we can reproduce the observed SEDs of local spirals, starbursts, luminous infrared galaxies (LIRGs) and ultra luminous infrared galaxies (ULIRGs). This modelling is so far kept as simple as possible and depends on a small number of free parameters, namely the initial mass function (IMF), star formation rate (SFR) time scale, gas density, and galaxy age, as well as on more refined assumptions on dust properties and the presence (or absence) of gas inflows/outflows.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 12 citations worldwide. Full citation record

  1. Learning the Universe: The Structure of Dust Attenuation Curves in Galaxy Simulations

    astro-ph.GA 2026-06 unverdicted novelty 7.0 of 10

    Four parameters suffice to describe dust attenuation curve diversity in TNG simulations, yielding a new symbolic-regression model that recovers curves and fluxes better than existing parameterizations while linking pa...

  2. First Light and Assembly of GalaxieS (FLAGS) I: The JWST/NIRCam Number Counts and IGL as Constraints on Galaxy Formation Models

    astro-ph.GA 2026-08 conditional novelty 6.0 of 10

    FLAGS-I delivers the deepest JWST/NIRCam number counts to date, new 2.77 and 4.10 micron IGL constraints, and a model comparison that ranks SC-SAM first.

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