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Comparison Of Dynamical Approximation Schemes For Non Linear Gravitational Clustering by Adrian Melott

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1NASA Technical Reports Server (NTRS) 19950012948: Comparison Of Dynamical Approximation Schemes For Non-linear Gravitational Clustering

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We 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.

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  • Title: ➤  NASA Technical Reports Server (NTRS) 19950012948: Comparison Of Dynamical Approximation Schemes For Non-linear Gravitational Clustering
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  • Language: English

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2Comparison Of Dynamical Approximation Schemes For Non-Linear Gravitational Clustering

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I report on controlled comparison of gravitational approximation schemes linear/lognormal/adhesion/frozen-flow/Zel'dovich(ZA) and ZA's second--order generalization. In the last two cases we also created new versions of the approximation by truncation, i.e., by finding an optimum smoothing window (see text) for the initial conditions. The Zel'dovich approximation, with optimized initial smoothing, worked extremely well. Its second-order generalization was slightly better. The success of our best-choice was a result of the treatment of the phases of nonlinear Fourier components. The adhesion approximation produced the most accurate nonlinear power spectrum and density distribution, but its phase errors suggest mass condensations were moved somewhat incorrectly. Due to its better reproduction of the mass density distribution function and power spectrum, adhesion might be preferred for some uses. We recommend either n-body simulations or our modified versions of ZA, depending on the purpose. Modified ZA can rapidly generate large numbers of realizations of model universes with good accuracy down to galaxy group (or smaller) mass scales.

“Comparison Of Dynamical Approximation Schemes For Non-Linear Gravitational Clustering” Metadata:

  • Title: ➤  Comparison Of Dynamical Approximation Schemes For Non-Linear Gravitational Clustering
  • Author:
  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 4.96 Mbs, the file-s for this book were downloaded 78 times, the file-s went public at Fri Sep 20 2013.

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