Chemistry of Dark Clouds: Databases, Networks, and Models

M. Agúndez 1 Valentine Wakelam 2
1 SSE 2013
L3AB - Laboratoire d'astrodynamique, d'astrophysique et d'aéronomie de bordeaux, OASU - Observatoire aquitain des sciences de l'univers, LAB - Laboratoire d'Astrophysique de Bordeaux [Pessac], Université Sciences et Technologies - Bordeaux 1
2 AMOR 2013
L3AB - Laboratoire d'astrodynamique, d'astrophysique et d'aéronomie de bordeaux, OASU - Observatoire aquitain des sciences de l'univers, LAB - Laboratoire d'Astrophysique de Bordeaux [Pessac], Université Sciences et Technologies - Bordeaux 1
Abstract : Chemical models have been developed over the years by astrophysicists to study the pro- cesses at play in the various environments of the interstellar medium (ISM) that define the chemical composition of the gas and the dust. These qualitative aspects of the model predictions have been improved from a chemical point of view thanks to many recent developments of the experimental technics and theoretical methods that aim at studying the individual reactions in conditions as close to the ISM conditions as possible and characterize the rate constants of their efficiency. These models have also been more and more associated with dynamical evolution of the ISM physical conditions (for star forming regions for instance) since the chemical composition is far from steady-state in such regions. In this paper, we try to assess the state of the art concerning the chemical modeling of dark clouds, the initial step for the formation of stars and disks.
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Soumis le : vendredi 18 octobre 2013 - 09:02:12
Dernière modification le : mercredi 27 juillet 2016 - 14:48:48

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M. Agúndez, Valentine Wakelam. Chemistry of Dark Clouds: Databases, Networks, and Models. Chemical Reviews, American Chemical Society, 2013, 113 (12), pp.8710-8737. 〈10.1021/cr4001176〉. 〈hal-00874494〉

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