KROME - a package to embed chemistry in astrophysical simulations

• DOI: 10.1093/mnras/stu114
• Publication Date: 2014-02-20T02:42:24Z
• Authors: T. Grassi; S. Bovino; D. R. G. Schleicher; J. Prieto; D. Seifried; E. Simoncini; F. A. Gianturco
• Keywords: Python; Solver; Subroutine

Chemistry plays a key role in many astrophysical situations regulating the cooling and thermal properties of gas, which are relevant during gravitational collapse, evolution disks fragmentation process. In order to simplify usage chemical networks large numerical simulations, we present chemistry package KROME, consisting Python pre-processor generates subroutine for solution can be embedded any code. For rate equations, make use high-order solver DLSODES, was shown both accurate efficient sparse networks, typical applications. KROME also provides set physical processes connected chemistry, including photochemistry, cooling, heating, dust treatment, reverse kinetics. The presented here already contains network primordial small metal appropriate modelling low metallicities environments, detailed molecular clouds, planetary atmospheres, as well framework grain population. this paper, an extended test suite ranging from one-zone 1D-models first applications cosmological simulations with ENZO RAMSES 3D collapse FLASH is publicly available at http://kromepackage.org/ https://bitbucket.org/krome/krome_stable