2013
DOI: 10.1088/0067-0049/207/1/7
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Modeling Galactic Extinction With Dust and “Real” Polycyclic Aromatic Hydrocarbons

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Cited by 37 publications
(44 citation statements)
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“…Present estimates are that 60%−70% of all C atoms stick onto dust particles (Sofia et al 2011;Cardelli 1996), whereas earlier values range between 30% and 40% (Sofia et al 2004). From extinction fitting, Mulas et al (2013) derive an average C abundance in grains of 145 ppm and estimate an uncertainty of about a factor of two. The abundance of O is uncertain within a factor of two.…”
Section: Element Abundancesmentioning
confidence: 65%
“…Present estimates are that 60%−70% of all C atoms stick onto dust particles (Sofia et al 2011;Cardelli 1996), whereas earlier values range between 30% and 40% (Sofia et al 2004). From extinction fitting, Mulas et al (2013) derive an average C abundance in grains of 145 ppm and estimate an uncertainty of about a factor of two. The abundance of O is uncertain within a factor of two.…”
Section: Element Abundancesmentioning
confidence: 65%
“…In any case, the extinction curve and DIBs are very likely to be extremely similar for all three stars of such a close system, unless circumstellar material makes a large contribution to them. Figure 9 shows the extinction curves reported by Fitzpatrick & Massa (2007) for HD 37020, HD 37022, and Herschel 36, together with their fits with the [CM] 2 dust model (Mulas et al 2013). Figure 10, for comparison, shows the extinction curve of HD 23180 (o Per), the closest proxy of HD 24398 (ζ Per) available in the sample of Fitzpatrick & Massa (2007), and the average galactic one.…”
Section: Discussionmentioning
confidence: 99%
“…The variance-covariance matrix for the best-fitting parameters, measuring how tightly they are constrained by the fit, is obtained by synthetic statistics, by repeating the fit multiple times on data perturbed according to their errors. The details of this procedure, and the modifications in the MPFIT 1 Levenberg-Marquardt implementation to cope with underdetermination of some parameters, are described in Mulas et al (2013). The evolutionary model of carbon mantles is detailed in .…”
Section: Gordonmentioning
confidence: 99%
“…488 (0.012) 48 ( (8) 149 (60) 415 (80) 98 (60) 3.45 (0.04) -We adopt ε1 = 0.000001, ε2 = 0.01, ε3 = 0.0001 As described in Mulas et al (2013), the fit is severely underconstrained, mainly due to degeneracy in how many different PAH mixtures can add up to very nearly the same cumulative cross section. As a result, only some of the parameters are well determined by the fit, namely the ones defining the classical dust, and some collective properties of the PAH mixture.…”
Section: (23)mentioning
confidence: 99%
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