2013
DOI: 10.1051/0004-6361/201220866
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Vindicating single-Tmodified blackbody fits toHerschelSEDs

Abstract: I show here that the bulk of the dust mass in a galaxy can be equivalently estimated from i) the full spectral energy distribution of dust emission, using the approach of Draine & Li (2007, ApJ, 657, 810) that includes a distribution of dust grains and a range of interstellar radiation field intensities; ii) the emission in the wavelength range 100 μm ≤ λ ≤ 500 μm (covered by the Herschel Space Observatory), by fitting a simpler single-temperature modified blackbody to the data. Recent claims to the contrary … Show more

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Cited by 119 publications
(155 citation statements)
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“…Dale et al 2012;Aniano et al 2012, respectively) show that only a minor fraction of the dust mass (smaller than a few percent) is exposed to the more intense fields. Thus, fits to λ ≥ 100 µm Herschel SEDs assuming that dust is heated by a single radiation field with U = U min can retrieve the bulk of the dust mass (see also Magrini et al 2011;Bianchi 2013 Initially, we derived the dust mass surface density Σ dust and radiation field intensity U for all the pixels where the Herschel surface brightness was larger than 2σ in all bands with λ ≥ 160µm. We thus produced Σ dust and U maps, in a way analogous to Magrini et al (2011).…”
Section: Dust Massmentioning
confidence: 99%
“…Dale et al 2012;Aniano et al 2012, respectively) show that only a minor fraction of the dust mass (smaller than a few percent) is exposed to the more intense fields. Thus, fits to λ ≥ 100 µm Herschel SEDs assuming that dust is heated by a single radiation field with U = U min can retrieve the bulk of the dust mass (see also Magrini et al 2011;Bianchi 2013 Initially, we derived the dust mass surface density Σ dust and radiation field intensity U for all the pixels where the Herschel surface brightness was larger than 2σ in all bands with λ ≥ 160µm. We thus produced Σ dust and U maps, in a way analogous to Magrini et al (2011).…”
Section: Dust Massmentioning
confidence: 99%
“…The FIR emission can be used to derive an average effective temperature and a total mass for large dust particles, although for certain sources it is possible that even the 70 m m emission comes from hotter dust associated with the AGN. Bianchi (2013) compares different methods to derive dust masses and temperatures by fitting the FIR SEDs with (1) a single temperature modified blackbody, (2) a dust emission model, i.e., assuming a combination of different grains populations, the details of these grain models being beyond the scope of this paper. Bianchi (2013) used two dust models: that of Draine & Li (2007) and that of Compiègne et al (2011).…”
Section: Dust Mass and Temperature Estimatesmentioning
confidence: 99%
“…Bianchi (2013) compares different methods to derive dust masses and temperatures by fitting the FIR SEDs with (1) a single temperature modified blackbody, (2) a dust emission model, i.e., assuming a combination of different grains populations, the details of these grain models being beyond the scope of this paper. Bianchi (2013) used two dust models: that of Draine & Li (2007) and that of Compiègne et al (2011). Both of these models have been used intensively in the analysis of Spitzer and Herschel data, from nearby to high Notes.…”
Section: Dust Mass and Temperature Estimatesmentioning
confidence: 99%
“…Since such lower coefficient was applied to the local galaxies observed with Herschel, used in Sect. 5.1 as a comparison sample, we recomputed the dust mass of the GRB 980425 host applying a comparable method outlined in Bianchi (2013), obtaining log(M d /M ) = 6.57 ± 0.05, indeed a factor of two higher than the Magphys estimate.…”
Section: Basic Physical Propertiesmentioning
confidence: 99%
“…3. Dust masses for the KINGFISH galaxies are taken from Bianchi (2013), and stellar masses from Skibba et al (2011) are corrected to the Kennicutt et al (2011) distance scale. Finally, we mark the Large Magellanic Cloud (LMC) using the compilation in Israel et al (2010) and Meixner et al (2013).…”
Section: Flux Ratiosmentioning
confidence: 99%