Astronomy and Astrophysics – Astronomy
Scientific paper
Mar 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996apj...459...12a&link_type=abstract
Astrophysical Journal v.459, p.12
Astronomy and Astrophysics
Astronomy
54
Cosmology: Theory, Hydrodynamics, Cosmology: Large-Scale Structure Of Universe, Methods: Numerical, X-Rays: Galaxies
Scientific paper
A two-level nested grid code is applied to resolve X-ray clusters in a standard critically closed cold dark matter-dominated universe. The physical dimension of the larger periodically identified box is set to 50 Mpc as a compromise to providing both adequate sampling of long-wavelength perturbations and sufficient small-scale resolution. A refined grid with smaller cell dimensions is constructed within the larger cube to resolve a single rich cluster (arising from a 3 peak fluctuation) in greater detail as the larger scale structure evolves on the parent grid. We performed a sequence of runs at consistently higher resolution to test for the convergence of various physical attributes, including the core radius, distribution profiles, mass fractions, X-ray luminosity, Sunyaev-Zel'dovich decrement, and fl-model parameters. We find no evidence of convergence in the inner core regions even at the most refined subgrid resolution of 100 kpc, effectively a 5123 grid covering the cluster. However, false convergence is seen in several runs which fail to adequately resolve the collapse of fluctuations at high redshifts-a result which may explain the discrepancy between our finding and the results of Navarro, Frenk, & White (1995). Averaged radial profiles of the gas and dark matter densities and the gas temperature are consistent with Bertschinger's (1985) self-similar solution at small radii down to the force softening length. We also investigate the reliability of reconstructing the numerical data based solely on the "observed" X-ray luminosities and the isothermal and hydrostatic equilibrium assumptions made in the standard fl-models. This work is carried out in a developing framework to explore the advantages and limitations of nested grid methods as applied to cosmological simulations.
Anninos Peter
Norman Michael L.
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