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相关论文: SED of starbursts

200 篇论文

We provide a library of some 7000 SEDs (available at www.eso.org/~rsiebenm) for the nuclei of starburst and ultra luminous galaxies. Its purpose is to quickly obtain estimates of the basic parameters, such as luminosity, size and dust or…

天体物理学 · 物理学 2009-11-11 Ralf Siebenmorgen , Endrik Kruegel

We present a SED model of dusty galaxies, in which the equation of radiative transfer is solved by assuming spherical symmetry. The temperature fluctuation of very small dust particles is calculated consistently with the radiative transfer.…

天体物理学 · 物理学 2015-06-24 Toshinobu Takagi , Vladas Vansevicius , Nobuo Arimoto

Sophisticated spectral energy distribution (SED) models describe dust attenuation and emission using geometry parameters. This treatment is natural since dust effects are driven by the underlying star-dust geometry in galaxies. An example…

星系天体物理 · 物理学 2022-12-28 Yisheng Qiu , Xi Kang , Yu Luo

To investigate the nature of starbursts' dust, we constructed a model of the stars and dust in starburst galaxies and applied it to 30 observed starburst spectral energy distributions (SEDs). The starburst model was constructed by combining…

天体物理学 · 物理学 2008-11-26 K. D. Gordon , D. Calzetti , A. N. Witt

We construct an evolutionary spectral energy distribution (SED) model of a starburst region, from the ultraviolet to submillimetre wavelengths. This model allows us to derive the star formation rate, optical depth by dust and apparent…

天体物理学 · 物理学 2009-11-07 Toshinobu Takagi , Nobuo Arimoto , Hitoshi Hanami

We study the Spectral Energy Distributions, SEDs, (from FUV to MIR bands) of the first sizeable sample of 34 low-luminosity radio galaxies at high redshifts, selected in the COSMOS field. To model the SEDs we use two different…

宇宙学与河外天体物理 · 物理学 2015-06-11 Ranieri D. Baldi , Marco Chiaberge , Alessandro Capetti , Javier Rodriguez-Zaurin , Susana Deustua , William B. Sparks

The spectral energy distributions (SEDs) of dust-enshrouded galaxies with powerful restframe far-infrared emission have been constrained by a range of ground-based and space-borne surveys. The IRAS catalog provides a reasonably complete…

天体物理学 · 物理学 2009-11-10 Andrew W. Blain , Scott C. Chapman , Ian Smail , Rob Ivison

We present analytic radiative transfer solutions for the spectra of unresolved, spherically symmetric, centrally heated, dusty sources. We find that the dust thermal spectrum possesses scaling relations that provide a natural classification…

天体物理学 · 物理学 2009-11-13 Sukanya Chakrabarti , Christopher F. McKee

We compare observed far infra-red/sub-millimetre (FIR/sub-mm) galaxy spectral energy distributions (SEDs) of massive galaxies ($M_{\star}\gtrsim10^{10}$ $h^{-1}$M$_{\odot}$) derived through a stacking analysis with predictions from a new…

We use two catalogues, a Herschel catalogue selected at 500 mu (HerMES) and an IRAS catalogue selected at 60 mu (RIFSCz), to contrast the sky at these two wavelengths. Both surveys demonstrate the existence of extreme starbursts, with…

We present spectral energy distributions (SEDs) for 68 Herschel sources detected at 5-sigma at 250, 350 and 500 mu in the HerMES SWIRE-Lockman field. We explore whether existing models for starbursts, quiescent star-forming galaxies and for…

宇宙学与河外天体物理 · 物理学 2015-05-19 Michael Rowan-Robinson , Herschel-SPIRE HerMES consortium

Dust plays an important role in shaping a galaxy's spectral energy distribution (SED). It absorbs ultraviolet (UV) to near-infrared (NIR) radiation and re-emits this energy in the far-infrared (FIR). The FIR is essential to understand dust…

We present Starduster, a supervised deep learning model that predicts the multi-wavelength SED from galaxy geometry parameters and star formation history by emulating dust radiative transfer simulations. The model is comprised of three…

星系天体物理 · 物理学 2022-05-18 Yisheng Qiu , Xi Kang

Spectral Energy Distribution (SED) fitting is a well-developed astrophysical tool that has recently been applied to high-redshift Lyman Alpha-emitting galaxies. If rest-frame ultraviolet through near-infrared photometry is available, it…

宇宙学与河外天体物理 · 物理学 2015-05-13 Eric Gawiser

We have fit the far-ultraviolet (FUV) to mid-infrared (MIR) spectral energy distributions (SEDs) for several nearby galaxies ($<$ 20 Mpc). Global, radial, and local photometric measurements are explored to better understand how SED-derived…

星系天体物理 · 物理学 2021-05-31 Madison V. Smith , L. van Zee , S. Salim , D. Dale , S. Staudaher , T. Wrock , A. Maben

We combine SDSS and WISE photometry for the full SDSS spectroscopic galaxy sample, creating SEDs that cover lambda=0.4-22 micron for an unprecedented large and comprehensive sample of 858,365 present-epoch galaxies. Using MAGPHYS we then…

星系天体物理 · 物理学 2015-07-10 Yu-Yen Chang , Arjen van der Wel , Elisabete da Cunha , Hans-Walter Rix

We give an overview of the factors shaping the ultraviolet (UV)/optical - far-infrared (FIR)/submillimeter (submm) spectral energy distributions (SEDs) of normal (non-starburst) galaxies. Particular emphasis is placed on the influen ce of…

天体物理学 · 物理学 2009-11-10 Cristina C. Popescu , Richard J. Tuffs

Fitting the spectral energy distributions (SEDs) of galaxies is an almost universally used technique that has matured significantly in the last decade. Model predictions and fitting procedures have improved significantly over this time,…

宇宙学与河外天体物理 · 物理学 2015-05-19 C. J. Walcher , B. Groves , T. Budavari , D. Dale

We present a simple, largely empirical but physically motivated model, which is designed to interpret consistently multi-wavelength observations from large samples of galaxies in terms of physical parameters, such as star formation rate,…

宇宙学与河外天体物理 · 物理学 2015-05-14 Elisabete da Cunha , Stephane Charlot , David Elbaz

We have computed the evolving ultraviolet-millimeter spectral energy distribution (SED) produced by proto-galactic starbursts at high redshift, incorporating the chemical evolution of the interstellar medium in a consistent manner. Dust…

天体物理学 · 物理学 2009-10-31 Raul Jimenez , Paolo Padoan , James Dunlop , David Bowen , Mika Juvela , Francesca Matteucci
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