Statistics – Computation
Scientific paper
May 1991
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1991apj...372..351b&link_type=abstract
Astrophysical Journal, Part 1 (ISSN 0004-637X), vol. 372, May 10, 1991, p. 351-363. University of Kansas-supported research.
Statistics
Computation
62
Cosmology, Galactic Clusters, Gravitational Effects, Universe, Astronomical Models, Computational Astrophysics, Correlation, Dark Matter, Field Theory (Physics), Power Spectra
Scientific paper
Results are presented from a series of gravitational clustering simulations in two dimensions. These simulations are a significant departure from previous work, since in two dimensions one can have large dynamic range in both length scale and mass using present computer technology. Controlled experiments were conducted by varying the slope of power-law initial density fluctuation spectra and varying cutoffs at large k, while holding constant the phases of individual Fourier components and the scale of nonlinearity. Filaments are found in many different simulations, even with pure power-law initial conditions. By direct comparison, filaments, called 'second-generation pancakes' are shown to arise as a consequence of mild nonlinearity on scales much larger than the correlation length and are not relics of an initial lattice or due to sparse sampling of the Fourier components. Bumps of low amplitude in the two-point correlation are found to be generic but usually only statistical fluctuations. Power spectra are much easier to relate to initial conditions, and seem to follow a simple triangular shape (on log-log plot) in the nonlinear regime. The rms density fluctuation with Gaussian smoothing is the most stable indicator of nonlinearity.
Beacom John Francis
Dominik Kurt G.
Melott Adrian L.
Perkins Sam P.
Shandarin Sergei F.
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