Statistics – Computation
Scientific paper
Sep 1993
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993apj...414l..73m&link_type=abstract
Astrophysical Journal, Part 2 - Letters (ISSN 0004-637X), vol. 414, no. 2, p. L73-L75.
Statistics
Computation
7
Cosmology, Universe, Velocity Distribution, Computational Astrophysics, Cross Correlation, Evolution (Development)
Scientific paper
Recently considerable attention has been focused on improving algorithms for restoring primordial density fluctuations in the universe or investigating large-scale velocity fields by going to higher order approximations relating nonlinear states to their initial conditions. An alternative approach is to investigate the use of alternative smoothing windows within the context of first-order approximations. I present evidence that the universally used Gaussian smoothing window is far from optimal. A sharp truncation P(k) = 0 for k greater than k(c) leads to a much more direct connection to initial conditions for either 'Gaussianization' methods or use of the Zel'dovich approximation, as discussed in the text.
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