SIMBAD references

2013ApJS..207....7M - Astrophys. J., Suppl. Ser., 207, 7 (2013/July-0)

Modeling galactic extinction with dust and "real" polycyclic aromatic hydrocarbons.


Abstract (from CDS):

We investigate the remarkable apparent variety of galactic extinction curves by modeling extinction profiles with core-mantle grains and a collection of single polycyclic aromatic hydrocarbons. Our aim is to translate a synthetic description of dust into physically well-grounded building blocks through the analysis of a statistically relevant sample of different extinction curves. All different flavors of observed extinction curves, ranging from the average galactic extinction curve to virtually "bumpless" profiles, can be described by the present model. We prove that a mixture of a relatively small number (54 species in 4 charge states each) of polycyclic aromatic hydrocarbons can reproduce the features of the extinction curve in the ultraviolet, dismissing an old objection to the contribution of polycyclic aromatic hydrocarbons to the interstellar extinction curve. Despite the large number of free parameters (at most the 54x4 column densities of each species in each ionization state included in the molecular ensemble plus the 9 parameters defining the physical properties of classical particles), we can strongly constrain some physically relevant properties such as the total number of C atoms in all species and the mean charge of the mixture. Such properties are found to be largely independent of the adopted dust model whose variation provides effects that are orthogonal to those brought about by the molecular component. Finally, the fitting procedure, together with some physical sense, suggests (but does not require) the presence of an additional component of chemically different very small carbonaceous grains.

Abstract Copyright:

Journal keyword(s): dust, extinction - ISM: abundances - ultraviolet: ISM

VizieR on-line data: <Available at CDS (J/ApJS/207/7): table1.dat table2.dat table3.dat>

Status at CDS:  

Simbad objects: 15

goto Full paper

goto View the reference in ADS

To bookmark this query, right click on this link: simbad:2013ApJS..207....7M and select 'bookmark this link' or equivalent in the popup menu


© Université de Strasbourg/CNRS

    • Contact