CaltechAUTHORS
Published April 2017 | Version Submitted + Published
Journal Article Open

GRACKLE: a chemistry and cooling library for astrophysics

Creators

  • 1. ROR icon Royal Observatory
  • 2. ROR icon San Diego Supercomputer Center
  • 3. ROR icon Columbia University
  • 4. ROR icon Heidelberg University
  • 5. ROR icon National Center for Supercomputing Applications
  • 6. ROR icon University of Illinois Urbana-Champaign
  • 7. ROR icon Durham University
  • 8. ROR icon Dublin City University
  • 9. ROR icon Georgia Institute of Technology
  • 10. ROR icon Kavli Institute for Particle Astrophysics and Cosmology
  • 11. ROR icon Stanford University
  • 12. ROR icon American Museum of Natural History
  • 13. ROR icon Michigan State University
  • 14. ROR icon Lawrence Livermore National Laboratory
  • 15. ROR icon California Institute of Technology

Abstract

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.

Additional Information

© 2016 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. Accepted 2016 December 14. Received 2016 December 13; in original form 2016 October 24. We are grateful to the anonymous referee whose comments helped to clarify various points in the manuscript. BDS would like to thank Michael Kuhlen for his work on the code in the early stages of the project; the organizers of the AGORA project, Ji-hoon Kim, Joel Primack and Piero Madau for the original motivation for the grackle project; as well as Nick Gnedin, James Wadsley and Romeel Davé for providing useful suggestions for additional functionality. GLB acknowledges support from NASA grant NNX15AB20G and NSF grant 1312888. SCOG acknowledges support from the Deutsche Forschungsgemeinschaft via SFB 881, 'The Milky Way System' (sub-projects B1, B2 and B8) and SPP 1573, 'Physics of the Interstellar Medium' (grant number GL 668/2-1), and from the European Research Council under the European Community's Seventh Framework Programme (FP7/2007-2013) via the ERC Advanced Grant STARLIGHT (project number 339177). NJG and MJT were supported by NSF grant ACI-1535651 and by the Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative through Grant GBMF4651. JHW is supported by NSF grants AST-1333360 and AST-1614333 and Hubble theory grants HST-AR-13895 and HST-AR-14326. AE is supported by a NSF Graduate Research Fellowship grant No. DGE-16-44869. We also thank the NSF for computational resources provided through the XSEDE program. JAR acknowledges support through the STFC capital grant ST/L00075X/1 and the Marie Curie Research Fund, grant 699941. BWO acknowledges support from NASA through grants NNX12AC98G, NNX15AP39G, and Hubble Theory Grants HST-AR-13261.01-A and HST-AR-14315.001-A. BWO was supported in part by the sabbatical visitor program at the Michigan Institute for Research in Astrophysics (MIRA) at the University of Michigan in Ann Arbor, and gratefully acknowledges their hospitality. Work by PA was performed in part under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratiory under Contract DE-AC52-07NA27344. grackle was also made possible by the open-source projects, HDF,6 h5py,7matplotlib (Barrett et al. 2005) and numpy (van der Walt et al. 2011).

Attached Files

Published - stw3291.pdf

Submitted - 1610.09591.pdf

Files

1610.09591.pdf

Files (2.0 MB)

Name Size
md5:cf092cf6f6a1a936603d006dc07e7da4
931.2 kB Preview Download
md5:bbc8ea790190514a810eee6c4acd5e59
1.1 MB Preview Download

Additional details

Identifiers

Eprint ID
76626
Resolver ID
CaltechAUTHORS:20170418-075307350

Related works

Describes
https://arxiv.org/abs/1610.09591 (URL)

Funding

NASA
NNX15AB20G
NSF
AST-1312888
Deutsche Forschungsgemeinschaft (DFG)
SFB 881
European Community Seventh Framework Programme
FP7/2007-2013
European Research Council (ERC)
339177
NSF
ACI-1535651
Gordon and Betty Moore Foundation
GBMF4651
NSF
AST-1333360
NSF
AST-1614333
NASA
HST-AR-13895
NASA
HST-AR-14326
NSF Graduate Research Fellowship
DGE-16-44869
Science and Technology Facilities Council (STFC)
ST/L00075X/1
Marie Curie Fellowship
699941
NASA
NNX12AC98G
NASA
NNX15AP39G
NASA
HST-AR-13261.01-A
NASA
HST-AR-14315.001-A
Department of Energy (DOE)
DE-AC52-07NA27344

Dates

Created
2017-04-18
Created from EPrint's datestamp field
Updated
2023-03-02
Created from EPrint's last_modified field