TY - JOUR
T1 - Public Data Release of the FIRE-2 Cosmological Zoom-in Simulations of Galaxy Formation
AU - Wetzel, Andrew
AU - Hayward, Christopher C.
AU - Sanderson, Robyn E.
AU - Ma, Xiangcheng
AU - Anglés-Alcázar, Daniel
AU - Feldmann, Robert
AU - Chan, T. K.
AU - El-Badry, Kareem
AU - Wheeler, Coral
AU - Garrison-Kimmel, Shea
AU - Nikakhtar, Farnik
AU - Panithanpaisal, Nondh
AU - Arora, Arpit
AU - Gurvich, Alexander B.
AU - Samuel, Jenna
AU - Sameie, Omid
AU - Pandya, Viraj
AU - Hafen, Zachary
AU - Hummels, Cameron
AU - Loebman, Sarah
AU - Boylan-Kolchin, Michael
AU - Bullock, James S.
AU - Faucher-Giguère, Claude André
AU - Kereš, Dušan
AU - Quataert, Eliot
AU - Hopkins, Philip F.
N1 - Funding Information:
We generated the FIRE-2 simulations using Stampede and Stampede 2, via the Extreme Science and Engineering Discovery Environment (XSEDE), supported by NSF grant No. ACI-1548562, including allocations TG-AST120025, TG-AST140023, TG-AST140064, and TG-AST160048; Blue Waters, supported by the NSF; Frontera, supported by the NSF and TACC, including allocations AST21010 and AST20016; Pleiades, via the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center, including allocations HEC SMD-16-7592, SMD-16-7561, SMD-17-120; and the Quest computing cluster at Northwestern University. This work uses data hosted by the Flatiron Institute’s FIRE data hub, and we generated data using the Flatiron Institute’s computing clusters rusty and popeye ; the Flatiron Institute is supported by the Simons Foundation. yt Hub is supported in part by the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative through grant No. GBMF4561 to Matthew Turk and the National Science Foundation under grant No. ACI-1535651.
Funding Information:
We thank the anonymous referee for constructive comments and suggestions that helped improve the quality of the paper. S.Y. acknowledges Dr. Taiki Kawamuro and Dr. Kohei Ichikawa for their helpful discussion. This work is financially supported by JSPS KAKENHI grant numbers 19J22216 and 22K20391 (S.Y.); 17K05384 and 20H01946 (Y.U.); 18J01050, 19K14759, and 22H01266 (Y.T.); 21J13894 (S.O.); 22J22795 (R.U.); and 21K03632 (M.I.). S.Y. is grateful for support from the RIKEN Special Postdoctoral Researcher Program. M.H.E. and T.M. acknowledge support by UNAM-DGAPA PAPIIT IN111319 and CONACyT Investigación Científica Básica 252531. H.M.E. also thanks support from a postdoctoral fellowship from UNAM-DGAPA. C.R. acknowledges support from the Fondecyt Iniciacion grant 11190831 and ANID BASAL project FB210003.
Funding Information:
A.W. received support from the NSF via a CAREER award AST-2045928 and grant No. AST-2107772; NASA ATP grant Nos. 80NSSC18K1097 and 80NSSC20K0513; HST grant Nos. GO-14734, AR-15057, AR-15809, GO-15902 from STScI; a Scialog Award from the Heising-Simons Foundation; and a Hellman Fellowship. R.E.S. and N.P. acknowledge support from NASA grant No. 19-ATP19-0068; and R.E.S., F.N., and A.A. acknowledge support from the Research Corporation through the Scialog Fellows program on Time Domain Astronomy, and from NSF grant No. AST-2007232; R.E.S. additionally acknowledges support from HST-AR-15809 from STScI. D.A.A. acknowledges support by NSF grant Nos. AST-2009687 and AST-2108944, CXO grant No. TM2-23006X, and Simons Foundation award CCA-1018464. R.F. acknowledges financial support from the Swiss National Science Foundation (grant No. PP00P2_194814). T.K.C. is supported by the Science and Technology Facilities Council (STFC) astronomy consolidated grant Nos. ST/P000541/1 and ST/T000244/1. J.S. was supported by an NSF Astronomy and Astrophysics Postdoctoral Fellowship under award AST-2102729. Z.H. was supported by a Gary A. McCue postdoctoral fellowship at UC Irvine. S.L. was supported by NSF grant No. AST-2109234 and HST-AR-16624 from STScI. M.B.K. acknowledges support from a NSF CAREER award AST-1752913, NSF grant Nos. AST-1910346 and AST-2108962, NASA grant No. NNX17AG29G, and HST grant Nos. AR-15006, AR-15809, GO-15658, GO-15901, GO-15902, AR-16159, and GO-16226 from STScI. C.A.F.G. was supported by the NSF through grant Nos. AST-1715216 and AST-2108230, and a CAREER award AST-1652522; by NASA through grant Nos. 17-ATP17-006 7 and 21-ATP21-0036; by STScI through grant No. HST-AR-16124.001-A; and by the Research Corporation for Science Advancement through a Cottrell Scholar Award and a Scialog Award. D.K. was supported by NSF grant Nos. AST-1715101 and AST-2108314. Support for P.F.H. was provided by NSF Research grant Nos. 1911233, 20009234, 2108318, a NSF CAREER grant No. 1455342, and NASA grant Nos. 80NSSC18K0562, HST-AR-15800.
Publisher Copyright:
© 2023. The Author(s). Published by the American Astronomical Society.
PY - 2023/4/1
Y1 - 2023/4/1
N2 - We describe a public data release of the FIRE-2 cosmological zoom-in simulations of galaxy formation (available at http://flathub.flatironinstitute.org/fire) from the Feedback In Realistic Environments (FIRE) project. FIRE-2 simulations achieve parsec-scale resolution to explicitly model the multiphase interstellar medium while implementing direct models for stellar evolution and feedback, including stellar winds, core-collapse and Type Ia supernovae, radiation pressure, photoionization, and photoelectric heating. We release complete snapshots from three suites of simulations. The first comprises 20 simulations that zoom in on 14 Milky Way (MW)-mass galaxies, five SMC/LMC-mass galaxies, and four lower-mass galaxies including one ultrafaint; we release 39 snapshots across z = 0-10. The second comprises four massive galaxies, with 19 snapshots across z = 1-10. Finally, a high-redshift suite comprises 22 simulations, with 11 snapshots across z = 5-10. Each simulation also includes dozens of resolved lower-mass (satellite) galaxies in its zoom-in region. Snapshots include all stored properties for all dark matter, gas, and star particles, including 11 elemental abundances for stars and gas, and formation times (ages) of star particles. We also release accompanying (sub)halo catalogs, which include galaxy properties and member star particles. For the simulations to z = 0, including all MW-mass galaxies, we release the formation coordinates and an “ex situ” flag for all star particles, pointers to track particles across snapshots, catalogs of stellar streams, and multipole basis expansions for the halo mass distributions. We describe publicly available python packages for reading and analyzing these simulations.
AB - We describe a public data release of the FIRE-2 cosmological zoom-in simulations of galaxy formation (available at http://flathub.flatironinstitute.org/fire) from the Feedback In Realistic Environments (FIRE) project. FIRE-2 simulations achieve parsec-scale resolution to explicitly model the multiphase interstellar medium while implementing direct models for stellar evolution and feedback, including stellar winds, core-collapse and Type Ia supernovae, radiation pressure, photoionization, and photoelectric heating. We release complete snapshots from three suites of simulations. The first comprises 20 simulations that zoom in on 14 Milky Way (MW)-mass galaxies, five SMC/LMC-mass galaxies, and four lower-mass galaxies including one ultrafaint; we release 39 snapshots across z = 0-10. The second comprises four massive galaxies, with 19 snapshots across z = 1-10. Finally, a high-redshift suite comprises 22 simulations, with 11 snapshots across z = 5-10. Each simulation also includes dozens of resolved lower-mass (satellite) galaxies in its zoom-in region. Snapshots include all stored properties for all dark matter, gas, and star particles, including 11 elemental abundances for stars and gas, and formation times (ages) of star particles. We also release accompanying (sub)halo catalogs, which include galaxy properties and member star particles. For the simulations to z = 0, including all MW-mass galaxies, we release the formation coordinates and an “ex situ” flag for all star particles, pointers to track particles across snapshots, catalogs of stellar streams, and multipole basis expansions for the halo mass distributions. We describe publicly available python packages for reading and analyzing these simulations.
UR - http://www.scopus.com/inward/record.url?scp=85150815269&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85150815269&partnerID=8YFLogxK
U2 - 10.3847/1538-4365/acb99a
DO - 10.3847/1538-4365/acb99a
M3 - Article
AN - SCOPUS:85150815269
SN - 0067-0049
VL - 265
JO - Astrophysical Journal, Supplement Series
JF - Astrophysical Journal, Supplement Series
IS - 2
M1 - 44
ER -