Statistics – Computation
Scientific paper
Jan 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003cokon.103...67w&link_type=abstract
Communications of the Konkoly Observatory, Hungary Proceedings of the conference: 'The interaction of stars with their environme
Statistics
Computation
Scientific paper
In this paper we discuss possible ways to reduce the chemical reaction network for the situations when the accurate abundances are only needed for a limited number of species to compute, for example, such dynamically important factors as the ionisation degree or molecular cooling. We show that it is possible to reduce the number of reactions and species so that the computational time in some astrophysically interesting situations will be reduced by orders of magnitude without appreciable loss of accuracy. For example, to model magnetised dark clouds, self-consistently estimating the ionisation degree with the UMIST 95 database, one only needs to retain about 100 of 395 species with the computational time cut by a factor of a hundred. In the case of dynamical modelling with changing density, extinction, UV-intensity, temperature etc., the reduced chemical network may help to distinguish between feasible and non-feasible tasks.
Henning Th
Semenov Dmitry
Wiebe Dmitry
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