Testing higher-order Lagrangian perturbation theory against numerical simulations.
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Testing higher-order Lagrangian perturbation theory against numerical simulations.

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Published by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, D.C, Springfield, Va .
Written in English

Subjects:

  • Astronomical models.,
  • Density distribution.,
  • Lagrangian function.,
  • Mathematical models.,
  • Perturbation theory.,
  • Power spectra.,
  • Statistical analysis.

Book details:

Edition Notes

Other titlesTesting higher order Lagrangian perturbation theory against numerical simulations., 1. Pancake models.
StatementT. Buchert, A.L. Melott, A.G. Wei.
SeriesNASA contractor report -- NASA CR-197611.
ContributionsMelott, Adrian., Wei, A. G., United States. National Aeronautics and Space Administration.
The Physical Object
FormatMicroform
Pagination1 v.
ID Numbers
Open LibraryOL18078975M

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  We present results showing an improvement of the accuracy of perturbation theory as applied to cosmological structure formation for a useful range of quasilinear scales. The Lagrangian theory of gravitational instability of an Einstein-de Sitter dust cosmogony investigated and solved up to the third order in the series of papers by Buchert (, , ), Buchert & Ehlers ( Cited by: Testing Higher-Order Lagrangian Perturbation Theory Against Numerical Simulations - 1. Pancake Models Article (PDF Available) in Astronomy and Astrophysics October with 10 Reads. Testing Higher--Order Lagrangian Perturbation Theory Against Numerical Simulations -- 2. Hierarchical Models Article (PDF Available) April with 5 Reads. Summary: We present results showing an improvement of the accuracy of perturbation theory as applied to cosmological structure formation for a useful range of quasilinear scales.

Testing higher-order Lagrangian perturbation theory against numerical simulation. 1: Pancake models. By T. Buchert, A. G. Weiss and A. L. Melott. Abstract. We present results showing an improvement of the accuracy of perturbation theory as applied to cosmological structure formation for a useful range of quasi-linear scales. The Lagrangian Author: T. Buchert, A. G. Weiss and A. L. Melott.   We present results showing an improvement of the accuracy of perturbation theory as applied to cosmological structure formation for a useful range of scales. The Lagrangian theory of gravitational instability of Friedmann-Lemaitre cosmogonies is compared with numerical simulations. In this paper we study the dynamics of hierarchical models as a second step. In the first step (Buchert et Cited by: Testing higher-order Lagrangian perturbation theory against numerical simulations Pancake models by T. Buchert, A.L. Melott, A.G. Weifl Summary: We present results showing an improvement of the accuracy of perturba-tion theory as applied to cosmological structure formation for a useful range of quasi-linear scales. Testing higher-order Lagrangian perturbation theory against numerical simulations. 2: Hierarchical models. By T. Buchert, A. G. Weib and A. L. Melott. Abstract. We present results showing an improvement of the accuracy of perturbation theory as applied to cosmological structure formation for a useful range of scales. The Lagrangian theory of Author: T. Buchert, A. G. Weib and A. L. Melott.

This is a text on Hamiltionian and Lagrangian Dynamics aimed at the student who has just finished the calculus sequence. Such a student has probably heard of relativity and quantum mechanics, but has not heard of Hamiltonian or Lagrangian by: 1. Testing higher-order Lagrangian perturbation theory against numerical simulations. 2: Hierarchical models / Melott, A A comparison of the evolution of density fields in perturbation theory and numerical simulations - II. Counts-in-cells analysis / Baugh, C. M A Test of the Particle Paradigm in N-Body Simulations / B. Testing higher-order Lagrangian perturbation theory against numerical simulations. 1., Pancake models. SAO/NASA Astrophysics Data System (ADS) Title: Testing higher-order Lagrangian perturbation theory against numerical simulations. 2: Hierarchical models Authors.