Journal
ASTROPHYSICAL JOURNAL
Volume 905, Issue 1, Pages -Publisher
IOP Publishing Ltd
DOI: 10.3847/1538-4357/abc484
Keywords
Astronomy databases; Magnetohydrodynamics; Interstellar medium; Interstellar dynamics
Categories
Funding
- NASA [19-ATP19-0020, TCAN 144AAG1967, ATP AAH7546, NAS8-03060, NAS 5-26555]
- Australian Research Council [DP170100603, FT180100495, FT180100375, DP190101258]
- Australia-Germany Joint Research Cooperation Scheme (UA-DAAD)
- Gauss Centre for Supercomputing [pr32lo]
- Australian National Computational Infrastructure [ek9]
- National Computational Infrastructure (NCI)
- Australian Government [jh2]
- Flatiron Institute
- National RAMP
- D Program through the National Research Foundation of Korea Grants - Korean Government [NRF2016R1A5A1013277, NRF-2016R1D1A1B02015014]
- NASA through Einstein Postdoctoral Fellowship - Chandra X-ray Center [PF7180164, PF7-180167]
- Chamberlain Fellowship at Lawrence Berkeley National Laboratory
- NSF XSEDE [TGMCA99S024]
- National Sciences and Engineering Research Council of Canada
- NASA ATP [NNX17AH80G]
- NASA through Space Telescope Science Institute [HST-AR14297]
- Packard Foundation
- NSF [AST 1816234, AST1815461, AST-1442650]
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Turbulence is a key process in many fields of astrophysics. Advances in numerical simulations of fluids over the last several decades have revolutionized our understanding of turbulence and related processes such as star formation and cosmic ray propagation. However, data from numerical simulations of astrophysical turbulence are often not made public. We introduce a new simulation-oriented database for the astronomical community: the Catalogue for Astrophysical Turbulence Simulations (CATS), located at . CATS includes magnetohydrodynamic (MHD) turbulent box simulation data products generated by the public codes athena++, arepo, enzo, and flash. CATS also includes several synthetic observational data sets, such as turbulent HI data cubes. We also include measured power spectra and three-point correlation functions from some of these data. We discuss the importance of open-source statistical and visualization tools for the analysis of turbulence simulations such as those found in CATS.
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