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A large-particle Monte Carlo code for simulating non-linear high-energy processes near compact objects
Author(s) -
B. E. Stern,
Mitchell C. Begelman,
M. Sikora,
Roland Svensson
Publication year - 1995
Publication title -
monthly notices of the royal astronomical society
Language(s) - English
Resource type - Journals
eISSN - 1365-8711
pISSN - 0035-8711
DOI - 10.1093/mnras/272.2.291
Subject(s) - physics , monte carlo method , statistical physics , computational physics , code (set theory) , particle (ecology) , markov chain monte carlo , monte carlo molecular modeling , dynamic monte carlo method , astrophysics , statistics , mathematics , oceanography , set (abstract data type) , computer science , programming language , geology
High-energy radiation processes in compact cosmic objects are often expected to have a strongly non-linear behavior. Such behavior is shown, for example, by electron-positron pair cascades and the time evolution of relativistic proton distributions in dense radiation fields. Three independent techniques have been developed to simulate these non-linear problems: the kinetic equation approach; the phase-space density (PSD) Monte Carlo method; and the large-particle (LP) Monte Carlo method. In this paper, we present the latest version of the LP method and compare it with the other methods. The efficiency of the method in treating geometrically complex problems is illustrated by showing results of simulations of 1D, 2D and 3D systems. The method is shown to be powerful enough to treat non-spherical geometries, including such effects as bulk motion of the background plasma, reflection of radiation from cold matter, and anisotropic distributions of radiating particles. It can therefore be applied to simulate high-energy processes in such astrophysical systems as accretion discs with coronae, relativistic jets, pulsar magnetospheres and gamma-ray bursts.

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