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Dive into the research topics where Gregory Bryan is active.

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Featured researches published by Gregory Bryan.


The Astrophysical Journal | 1999

The Santa Barbara Cluster Comparison Project: A Comparison of Cosmological Hydrodynamics Solutions

Carlos S. Frenk; Simon D. M. White; P. Bode; J. R. Bond; Gregory Bryan; Renyue Cen; H. M. P. Couchman; August E. Evrard; Nickolay Y. Gnedin; Adrian Jenkins; Alexei M. Khokhlov; Anatoly Klypin; Julio F. Navarro; Michael L. Norman; Jeremiah P. Ostriker; J. M. Owen; Frazer R. Pearce; Ue-Li Pen; M. Steinmetz; Peter A. Thomas; Jens V. Villumsen; J. W. Wadsley; Michael S. Warren; Guohong Xu; Gustavo Yepes

We have simulated the formation of an X-ray cluster in a cold dark matter universe using 12 different codes. The codes span the range of numerical techniques and implementations currently in use, including smoothed particle hydrodynamics (SPH) and grid methods with fixed, deformable, or multilevel meshes. The goal of this comparison is to assess the reliability of cosmological gasdynamical simulations of clusters in the simplest astrophysically relevant case, that in which the gas is assumed to be nonradiative. We compare images of the cluster at different epochs, global properties such as mass, temperature and X-ray luminosity, and radial profiles of various dynamical and thermodynamical quantities. On the whole, the agreement among the various simulations is gratifying, although a number of discrepancies exist. Agreement is best for properties of the dark matter and worst for the total X-ray luminosity. Even in this case, simulations that adequately resolve the core radius of the gas distribution predict total X-ray luminosities that agree to within a factor of 2. Other quantities are reproduced to much higher accuracy. For example, the temperature and gas mass fraction within the virial radius agree to within about 10%, and the ratio of specific dark matter kinetic to gas thermal energies agree to within about 5%. Various factors, including differences in the internal timing of the simulations, contribute to the spread in calculated cluster properties. Based on the overall consistency of results, we discuss a number of general properties of the cluster we have modeled.


The Astrophysical Journal | 1999

Hydrodynamical simulations of the lyman alpha forest: model comparisons

Marie E. Machacek; Avery Meiksin; Yu Zhang; M.L. Norman; Gregory Bryan; Daniel Thayer; Peter Anninos

We investigate the properties of the Lyα forest as predicted by numerical simulations for a range of currently viable cosmological models. This is done in order to understand the dependencies of the forest on cosmological parameters. Focusing on the redshift range from 2 to 4, we show that (1) most of the evolution in the distributions of optical depth, flux, and column density can be understood by simple scaling relations; (2) the shape of optical depth distribution is a sensitive probe of the amplitude of density fluctuations on scales of a few hundred kpc; and (3) the mean of the b distribution (a measure of the width of the absorption lines) is also very sensitive to fluctuations on these scales and decreases as they increase. We perform a preliminary comparison to observations, where available. A number of other properties are also examined, including the evolution in the number of lines, the two-point flux distribution, and the He II opacity.


Archive | 1996

in Clusters of Galaxies: Probes of Cosmological Structure and Galaxy Evolution

Jack O. Burns; Chris Loken; Michael L. Norman; Gregory Bryan


Monthly Notices of the Royal Astronomical Society | 2001

Hydrodynamical simulations of the Lyalpha forest: data comparisons

Avery Meiksin; Gregory Bryan; Marie E. Machacek


Archive | 2004

in The Riddle of Cooling Flows in Galaxies and Clusters of galaxies

Jack O. Burns; Patrick Michael Motl; Michael L. Norman; Gregory Bryan


Archive | 2001

Forming the First Star in the Universe

Tom Abel; Gregory Bryan; Michael L. Norman


The Astrophysical Journal | 1999

Resolving the Lya Forest

Gregory Bryan; Marie E. Machacek; Peter Anninos; Michael L. Norman


Archive | 1998

Numerical simulations of first structure formation

Tom Abel; Gregory Bryan; Michael L. Norman


Archive | 2004

The Form and Evolution of Cluster Correlations In Numerical Samples of Galaxy Clusters

Patrick M. Motl; Jack O. Burns; Chris Loken; Michael L. Norman; Gregory Bryan


Archive | 2004

in Adaptive Mesh Re - finement - Theory and Applications

Brian William O'Shea; Gregory Bryan; James Bordner; Michael L. Norman; Tom Abel; Robert Harkness; Alexei G. Kritsuk

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Michael L. Norman

University of Illinois at Urbana–Champaign

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Jack O. Burns

University of Colorado Boulder

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Chris Loken

New Mexico State University

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Anatoly Klypin

New Mexico State University

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Tom Abel

SLAC National Accelerator Laboratory

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Peter Anninos

Lawrence Livermore National Laboratory

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Michael J. Ledlow

Association of Universities for Research in Astronomy

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Patrick Michael Motl

University of Colorado Boulder

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