2009
DOI: 10.1051/0004-6361/200811205
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Starburst and cirrus models for submillimeter galaxies

Abstract: We present radiative transfer models for submillimeter galaxies with spectroscopic redshifts and mid-infrared spectroscopy from Spitzer/IRS and analyze available Spitzer/MIPS 24, 70 and 160 μm data. We use two types of starburst models, a cirrus model and a model for the emission of an AGN torus in order to investigate the nature of these objects. We find that for three of the objects (25%) cirrus emission alone can account for the mid-infrared spectrum and the MIPS and submillimeter data. For the remaining ob… Show more

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Cited by 59 publications
(67 citation statements)
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“…The 850 µm flux density weighted mean of our sample of FeLoBALs is F s = 1.14 ± 0.58 mJy. By applying the Kennicutt SFR-L IR conversion (Kennicutt 1998) and assuming a variety of dust templates (Chary & Elbaz 2001;Efstathiou & Siebenmorgen 2009) this value corresponds to a SFR of ∼150-240 M yr −1 . This result suggests that FeLoBAL QSOs are forming new stars at similar rates of both BAL and non-BAL quasars (∼10 2 M yr −1 ; Cao Orjales et al 2012), and not at the prodigious rates typical of luminous starburst galaxies, such as SMGs, which are characterized by SFRs ≥ 500 M yr −1 (e.g.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The 850 µm flux density weighted mean of our sample of FeLoBALs is F s = 1.14 ± 0.58 mJy. By applying the Kennicutt SFR-L IR conversion (Kennicutt 1998) and assuming a variety of dust templates (Chary & Elbaz 2001;Efstathiou & Siebenmorgen 2009) this value corresponds to a SFR of ∼150-240 M yr −1 . This result suggests that FeLoBAL QSOs are forming new stars at similar rates of both BAL and non-BAL quasars (∼10 2 M yr −1 ; Cao Orjales et al 2012), and not at the prodigious rates typical of luminous starburst galaxies, such as SMGs, which are characterized by SFRs ≥ 500 M yr −1 (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…Each template varies both in metallicity (Z = 0.08, 0.2 and 0.5) and stellar age (25 Myr, 100 Myr, 290 Myr, 640 Myr, 900 Myr, 1.4 Gyr, 2.5 Gyr, 5 Gyr, 6 Gyr, 12 Gyr). For the AGN and starburst components, we rely on a set of templates by Efstathiou & Rowan-Robinson (1999) and Efstathiou & Siebenmorgen (2009). AGN emission varies with viewing angle and the model assumes a smooth torus whose density and thickness are, respectively, inversely and directly proportional to the distance from the nucleus (the use of smooth torus models may represent a caveat since recent studies provided observational evidence in support of a clumpy morphology, e.g.…”
Section: Sed Fitsmentioning
confidence: 99%
“…When discussing these models, it's important to keep in mind that the accuracy or applicability of these models cannot be tested with data since it simply does not exist in enough detail to disentangle effects of geometry, distribution, optical depth, etc. It's also important to note that many have done work in this area, particularly modeling radiative transfer in local starburst populations to generate SEDs (Efstathiou & Rowan-Robinson, 1995;Efstathiou et al, 2000;Efstathiou & Siebenmorgen, 2009;Nenkova et al, 2002;Dullemond & van Bemmel, 2005;Piovan et al, 2006;Nenkova et al, 2008;Takagi et al, 2003;Fritz et al, 2006;Hönig et al, 2006;Schartmann et al, 2008), but here we try to focus on the techniques which have been most commonly employed for SED fitting of high-z dusty starbursts 11 . Silva et al (1998) developed the Grasil code to model galaxy emission by explicitly accounting for dust absorption and emission from the ultraviolet through to the far-infrared.…”
Section: Employing Dust Radiative Transfer Models and Empirical Templmentioning
confidence: 99%
“…Recently, De Looze et al (2014) extended the applicability of the "decoding technique" to the modelling of a resolved nearby face-on galaxy. Other approaches to the "decoding observed panchromatic SEDs" include the radiative transfer models of Rowan-Robinson & Crawford (1989), , Silva et al (1998), Efstathiou & Rowan-Robinson (2003), Rowan-Robinson et al (2005), Piovan et al (2006), Efstathiou & Siebenmorgen (2009) The second approach (called "encoding predicted physical quantities" by PT10) consists of the application of dust radiative transfer codes to galaxy models obtained through numerical simulations of galaxy formation and evolution. In contrast to the decoding approach, in this case the stellar and dust distributions are derived from first principles.…”
Section: Introductionmentioning
confidence: 99%