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Comparison of dynamical approximation schemes for non-linear gravitational clusteringWe have recently conducted a controlled comparison of a number of approximations for gravitational clustering against the same n-body simulations. These include ordinary linear perturbation theory (Eulerian), the adhesion approximation, the frozen-flow approximation, the Zel'dovich approximation (describable as first-order Lagrangian perturbation theory), and its second-order generalization. In the last two cases we also created new versions of approximation by truncation, i.e., smoothing the initial conditions by various smoothing window shapes and varying their sizes. The primary tool for comparing simulations to approximation schemes was crosscorrelation of the evolved mass density fields, testing the extent to which mass was moved to the right place. The Zel'dovich approximation, with initial convolution with a Gaussian e(exp -k(exp 2)/k(exp 2, sub G)) where k(sub G) is adjusted to be just into the nonlinear regime of the evolved model (details in text) worked extremely well. Its second-order generalization worked slightly better. All other schemes, including those proposed as generalizations of the Zel'dovich approximation created by adding forces, were in fact generally worse by this measure. By explicitly checking, we verified that the success of our best-choice was a result of the best treatment of the phases of nonlinear Fourier components. Of all schemes tested, the adhesion approximation produced the most accurate nonlinear power spectrum and density distribution, but its phase errors suggest mass condensations were moved to slightly the wrong location. Due to its better reproduction of the mass density distribution function and power spectrum, it might be preferred for some uses. We recommend either n-body simulations or our modified versions of the Zel'dovich approximation, depending upon the purpose. The theoretical implication is that pancaking is implicit in all cosmological gravitational clustering, at least from Gaussian initial conditions, even when subcondensations are present.
Document ID
19950012948
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Melott, Adrian L.
(Kansas Univ. Lawrence, KS, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1994
Subject Category
Thermodynamics And Statistical Physics
Report/Patent Number
NAS 1.26:197609
NASA-CR-197609
Report Number: NAS 1.26:197609
Report Number: NASA-CR-197609
Accession Number
95N19363
Funding Number(s)
CONTRACT_GRANT: NAGW-2923
CONTRACT_GRANT: NSF PHY-92-45317
CONTRACT_GRANT: NSF AST-90-21414
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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