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Open Access
shiva: a dust destruction model
Monthly notices of the Royal Astronomical Society, 2019-09, Vol.488 (1), p.965-977
2019

Details

Autor(en) / Beteiligte
Titel
shiva: a dust destruction model
Ist Teil von
  • Monthly notices of the Royal Astronomical Society, 2019-09, Vol.488 (1), p.965-977
Ort / Verlag
Oxford University Press
Erscheinungsjahr
2019
Link zum Volltext
Quelle
EZB Free E-Journals
Beschreibungen/Notizen
  • ABSTRACT We present a numerical tool, shiva, designed to simulate the dust destruction in warm neutral, warm ionized and hot ionized media under the influence of photo-processing, sputtering and shattering. The tool is designed primarily to study the evolution of hydrogenated amorphous carbons (HACs), but options to simulate polycyclic aromatic hydrocarbons (PAHs), silicate and graphite grains are also implemented. HAC grain photo-processing includes both dehydrogenation and carbon atom loss. Dehydrogenation leads to material transformation from aliphatic to aromatic structure. Simultaneously, some other physical properties (band-gap energy, optical properties, etc.) of the material change as well. The shiva tool allows calculation of the time-dependent evolution of the dust size distribution depending on hydrogen, helium and carbon number densities and ionization state, gas temperature, radiation flux, relative gas–dust and grain–grain velocities. For HAC grains the evolution of band-gap energy distribution is also computed. We describe a dust evolution model, on which the tool relies, and present evolutionary time-scales for dust grains of different sizes depending on external conditions. This allows the user to estimate quickly the lifetime of a specific dust grain under relevant conditions. As an example of the tool usage, we demonstrate how grain properties and corresponding infrared spectra evolve in photo-dissociation regions, H ii regions and supernova remnant shocks.
Sprache
Englisch
Identifikatoren
ISSN: 0035-8711
eISSN: 1365-2966
DOI: 10.1093/mnras/stz1724
Titel-ID: cdi_crossref_primary_10_1093_mnras_stz1724
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