TY - JOUR
T1 - STARFORGE
T2 - Towards a comprehensive numerical model of star cluster formation and feedback
AU - Grudić, Michael Y.
AU - Guszejnov, Dávid
AU - Hopkins, Philip F.
AU - Offner, Stella S.R.
AU - Faucher-Giguère, Claude André
N1 - Funding Information:
We warmly thank the theoretical and observational star formation communities for the innumerable enlightening exchanges that informed and motivated this work over the past several years. We are especially grateful to fellow starsmith Anna Rosen and to the referee Chris Matzner, whose careful readings helped improve the manuscript. MYG is supported by a CIERA Postdoctoral Fellowship. DG is supported by the Harlan J. Smith McDonald Observatory Postdoctoral Fellowship. Support for PFH was provided by NSF Collaborative Research Grants 1715847 and 1911233, NSF CAREER grant 1455342, and NASA grants 80NSSC18K0562 an JPL 1589742. SSRO acknowledges support by NSF CAREER Award AST-1748571, NSF grant AST-1812747, NASA ATP grant 80NSSC20K0507 and a Cottrell Scholar Award from the Research Corporation for Science Advancement. CAFG is supported by NSF through grants AST-1715216, and CAREER award AST- 1652522; by NASA through grant 17-ATP17-0067; and by a Cottrell Scholar Award from the Research Corporation for Science Advancement. This work used computational resources provided by XSEDE allocation AST-190018, the Frontera allocation AST- 20019, and additional resources provided by the University of Texas at Austin and the Texas Advanced Computing Center (TACC; http://www.tacc.utexas.edu).
Publisher Copyright:
© 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
PY - 2021/9/1
Y1 - 2021/9/1
N2 - We present STARFORGE (STAR FORmation in Gaseous Environments): a new numerical framework for 3D radiation magnetohydrodynamic (MHD) simulations of star formation that simultaneously follow the formation, accretion, evolution, and dynamics of individual stars in massive giant molecular clouds (GMCs), while accounting for stellar feedback, including jets, radiative heating and momentum, stellar winds, and supernovae. We use the gizmo code with the MFM mesh-free Lagrangian MHD method, augmented with new algorithms for gravity, time-stepping, sink particle formation and accretion, stellar dynamics, and feedback coupling. We survey a wide range of numerical parameters/prescriptions for sink formation and accretion and find very small variations in star formation history and the IMF (except for intentionally unphysical variations). Modules for mass-injecting feedback (winds, SNe, and jets) inject new gas elements on the fly, eliminating the lack of resolution in diffuse feedback cavities otherwise inherent in Lagrangian methods. The treatment of radiation uses GIZMO's radiative transfer solver to track five frequency bands (IR, optical, NUV, FUV, ionizing), coupling direct stellar emission and dust emission with gas heating and radiation pressure terms. We demonstrate accurate solutions for SNe, winds, and radiation in problems with known similarity solutions, and show that our jet module is robust to resolution and numerical details, and agrees well with previous AMR simulations. STARFORGE can scale up to massive (>105 M⊙) GMCs on current supercomputers while predicting the stellar (≥0.1 M⊙) range of the IMF, permitting simulations of both high- and low-mass cluster formation in a wide range of conditions.
AB - We present STARFORGE (STAR FORmation in Gaseous Environments): a new numerical framework for 3D radiation magnetohydrodynamic (MHD) simulations of star formation that simultaneously follow the formation, accretion, evolution, and dynamics of individual stars in massive giant molecular clouds (GMCs), while accounting for stellar feedback, including jets, radiative heating and momentum, stellar winds, and supernovae. We use the gizmo code with the MFM mesh-free Lagrangian MHD method, augmented with new algorithms for gravity, time-stepping, sink particle formation and accretion, stellar dynamics, and feedback coupling. We survey a wide range of numerical parameters/prescriptions for sink formation and accretion and find very small variations in star formation history and the IMF (except for intentionally unphysical variations). Modules for mass-injecting feedback (winds, SNe, and jets) inject new gas elements on the fly, eliminating the lack of resolution in diffuse feedback cavities otherwise inherent in Lagrangian methods. The treatment of radiation uses GIZMO's radiative transfer solver to track five frequency bands (IR, optical, NUV, FUV, ionizing), coupling direct stellar emission and dust emission with gas heating and radiation pressure terms. We demonstrate accurate solutions for SNe, winds, and radiation in problems with known similarity solutions, and show that our jet module is robust to resolution and numerical details, and agrees well with previous AMR simulations. STARFORGE can scale up to massive (>105 M⊙) GMCs on current supercomputers while predicting the stellar (≥0.1 M⊙) range of the IMF, permitting simulations of both high- and low-mass cluster formation in a wide range of conditions.
KW - ISM: general
KW - MHD
KW - Methods: numerical
KW - Radiative transfer
KW - Stars: formation
KW - Turbulence
UR - http://www.scopus.com/inward/record.url?scp=85112328834&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85112328834&partnerID=8YFLogxK
U2 - 10.1093/mnras/stab1347
DO - 10.1093/mnras/stab1347
M3 - Article
AN - SCOPUS:85112328834
SN - 0035-8711
VL - 506
SP - 2199
EP - 2231
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 2
ER -