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A quantitative approach to the topology of large-scale structure

1987; IOP Publishing; Volume: 319; Linguagem: Inglês

10.1086/165427

1538-4357

III Gott J. Richard, David H. Weinberg, Adrian L. Melott,

Computational Physics and Python Applications

view Abstract Citations (130) References (18) Co-Reads Similar Papers Volume Content Graphics Metrics Export Citation NASA/ADS A Quantitative Approach to the Topology of Large-Scale Structure Gott, J. Richard, III ; Weinberg, David H. ; Melott, Adrian L. Abstract A quantitative measure of the topology of large-scale structure: the genus of density contours in a smoothed density distribution, is described and applied. For random phase (Gaussian) density fields, the mean genus per unit volume exhibits a universal dependence on threshold density, with a normalizing factor that can be calculated from the power spectrum. If large-scale structure formed from the gravitational instability of small-amplitude density fluctuations, the topology observed today on suitable scales should follow the topology in the initial conditions. The technique is illustrated by applying it to simulations of galaxy clustering in a flat universe dominated by cold dark matter. The technique is also applied to a volume-limited sample of the CfA redshift survey and to a model in which galaxies reside on the surfaces of polyhedral 'bubbles'. The topology of the evolved mass distribution and 'biased' galaxy distribution in the cold dark matter models closely matches the topology of the density fluctuations in the initial conditions. The topology of the observational sample is consistent with the random phase, cold dark matter model. Publication: The Astrophysical Journal Pub Date: August 1987 DOI: 10.1086/165427 Bibcode: 1987ApJ...319....1G Keywords: Astronomical Models; Galactic Clusters; Galactic Structure; Normal Density Functions; Topology; Cosmology; Dark Matter; Galactic Evolution; Gravitational Effects; Mass Distribution; Red Shift; Astrophysics; COSMOLOGY; GALAXIES: CLUSTERING full text sources ADS |