Maqola

grackle: a chemistry and cooling library for astrophysics

Britton SmithUniversity of EdinburghGreg L. BryanSimons Center for Computational Astrophysics, New York, NY 10010, USASimon C. O. GloverInstitut für Theoretische Astrophysik, Zentrum für Astronomie, Universität Heidelberg, Albert-Ueberle-Straße 2, D-69120 Heidelberg, GermanyNathan GoldbaumNational Center for Supercomputing ApplicationsMatthew TurkDepartment of Astronomy, University of Illinois, Urbana-Champaign, IL 61820, USAJohn A. ReganSchool of Mathematical Sciences, Dublin City University, Dublin 9, IrelandJohn WiseState Street (United States)Hsi-Yu SchiveNational Center for Supercomputing ApplicationsTom AbelDepartment of Physics, Stanford University, Stanford, CA 94305, USAAndrew EmerickDepartment of Astronomy, Columbia University, New York, NY 10025, USABrian W. O’SheaDepartment of Physics and Astronomy, Michigan State University, East Lansing, MI 48824, USAPeter AnninosLawrence Livermore National Laboratory, Livermore, CA 94550, USACameron HummelsCalifornia Institute of Technology, Pasadena, CA 91125, USASadegh KhochfarUniversity of Edinburgh

2016en

ABI

Annotatsiya

We present the grackle chemistry and cooling library for astrophysical simulations and models. grackle provides a treatment of non-equilibrium primordial chemistry and cooling for H, D and He species, including H₂ formation on dust grains; tabulated primordial and metal cooling; multiple ultraviolet background models; and support for radiation transfer and arbitrary heat sources. The library has an easily implementable interface for simulation codes written in c, c++ and fortran as well as a python interface with added convenience functions for semi-analytical models. As an open-source project, grackle provides a community resource for accessing and disseminating astrochemical data and numerical methods. We present the full details of the core functionality, the simulation and python interfaces, testing infrastructure, performance and range of applicability. grackle is a fully open-source project and new contributions are welcome.

Hali tarjima qilinmagan

Identifikatorlar

DOI: 10.1093/mnras/stw3291

Iqtiboslar va manbalar

4 ta iqtibos0 ta foydalanilgan manba