E
Elizabeth J. Tasker
Researcher at Japan Aerospace Exploration Agency
Publications - 49
Citations - 4112
Elizabeth J. Tasker is an academic researcher from Japan Aerospace Exploration Agency. The author has contributed to research in topics: Star formation & Molecular cloud. The author has an hindex of 25, co-authored 48 publications receiving 3747 citations. Previous affiliations of Elizabeth J. Tasker include Hokkaido University & McMaster University.
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Journal ArticleDOI
Enzo: an adaptive mesh refinement code for astrophysics
Greg L. Bryan,Michael L. Norman,Brian W. O'Shea,Tom Abel,John H. Wise,Matthew J. Turk,Daniel R. Reynolds,David C. Collins,Peng Wang,Peng Wang,Samuel W. Skillman,Samuel W. Skillman,Britton D. Smith,Britton D. Smith,Robert P. Harkness,James Bordner,Ji-hoon Kim,Michael Kuhlen,Hao Xu,Nathan J. Goldbaum,Cameron Hummels,Alexei G. Kritsuk,Elizabeth J. Tasker,Stephen Skory,Christine M. Simpson,Oliver Hahn,Jeffrey S. Oishi,Geoffrey C. So,Fen Zhao,Renyue Cen,Yuan Li +30 more
TL;DR: Enzo as discussed by the authors uses block-structured adaptive mesh refinement to provide high spatial and temporal resolution for modeling astrophysical fluid flows, which can be run in one, two, and three dimensions, and supports a wide variety of physics, including hydrodynamics, ideal and non-ideal magnetohydrodynamic, N-body dynamics, primordial gas chemistry, optically thin radiative cooling of primordial and metal-enriched plasmas, and models for star formation and feedback in a cosmological context.
Journal ArticleDOI
Enzo: An Adaptive Mesh Refinement Code for Astrophysics
Greg L. Bryan,Michael L. Norman,Brian W. O'Shea,Tom Abel,John H. Wise,Matthew J. Turk,Daniel R. Reynolds,David C. Collins,Peng Wang,Samuel W. Skillman,Britton D. Smith,Robert P. Harkness,James Bordner,Ji-hoon Kim,Michael Kuhlen,Hao Xu,Nathan J. Goldbaum,Cameron Hummels,Alexei G. Kritsuk,Elizabeth J. Tasker,Stephen Skory,Christine M. Simpson,Oliver Hahn,Jeffrey S. Oishi,Geoffrey C. So,Fen Zhao,Renyue Cen,Yuan Li +27 more
TL;DR: Enzo as mentioned in this paper uses block-structured adaptive mesh refinement to provide high spatial and temporal resolution for modeling astrophysical fluid flows, which can be run in 1, 2, and 3 dimensions, and supports a wide variety of physics, including hydrodynamics, ideal and non-ideal magnetohydrodynamic, N-body dynamics, primordial gas chemistry, optically-thin radiative cooling of primordial and metal-enriched plasmas, and models for star formation and feedback.
Journal ArticleDOI
Fundamental differences between SPH and grid methods
Oscar Agertz,Ben Moore,Joachim Stadel,Doug Potter,Francesco Miniati,Justin I. Read,Lucio Mayer,A. Gawryszczak,Andrey V. Kravtsov,Joseph J Monaghan,Åke Nordlund,Frazer R. Pearce,Vincent Quilis,Douglas H. Rudd,Volker Springel,James M. Stone,Elizabeth J. Tasker,Romain Teyssier,James Wadsley,Rolf Walder +19 more
TL;DR: In this paper, a comparison of grid and smoothed particle hydrodynamics (SPH) techniques for interacting multiphase fluids is carried out, and it is shown that SPH introduces spurious pressure forces on particles in regions where there are steep density gradients.
Enzo: An Adaptive Mesh Refinement Code for Astrophysics
Greg L. Bryan,Michael L. Norman,Brian W. O'Shea,Tom Abel,John H. Wise,Matthew J. Turk,Daniel R. Reynolds,David C. Collins,Peng Wang,Samuel W. Skillman,Britton D. Smith,Robert P. Harkness,James Bordner,Ji-hoon Kim,Michael Kuhlen,Hao Xu,Nathan J. Goldbaum,Cameron Hummels,Alexei G. Kritsuk,Elizabeth J. Tasker,Stephen Skory +20 more
TL;DR: Enzo as discussed by the authors uses block-structured adaptive mesh refinement to provide high spatial and temporal resolution for modeling astrophysical fluid flows, which can be run in one, two, and three dimensions, and supports a wide variety of physics, including hydrodynamics, ideal and non-ideal magnetohydrodynamic, N-body dynamics, primordial gas chemistry, optically thin radiative cooling of primordial and metal-enriched plasmas, and models for star formation and feedback in a cosmological context.
Journal ArticleDOI
Do cloud-cloud collisions trigger high-mass star formation? i. small cloud collisions
TL;DR: In this paper, the authors performed sub-parsec scale simulations of two idealized molecular clouds with different masses undergoing a collision and investigated the effect of turbulence and collision speed on the resulting core population and compared the cumulative mass distribution to cores in observed GMCs.