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Main Author: Umeda, Takayuki
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2603.03791
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author Umeda, Takayuki
author_facet Umeda, Takayuki
contents A simple numerical method for loading of a relativistic Maxwellian-type distribution is proposed based on inverse transform sampling. The relativistic Maxwellian energy distribution is introduced as an alternative to the Maxwell-Jüttner distribution. The cumulative distribution of the shifted-Maxwellian energy distribution is approximated by an invertible function. Random variates of energy is transformed from uniformly distributed random variables. Then, the energy variates are converted to momentum vector variates. Numerical tests are presented to show that the present method successfully reproduce the relativistic Maxwellian energy distribution.
format Preprint
id arxiv_https___arxiv_org_abs_2603_03791
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Loading of Relativistic Maxwellian-type Distributions Revisited
Umeda, Takayuki
Plasma Physics
Computational Physics
A simple numerical method for loading of a relativistic Maxwellian-type distribution is proposed based on inverse transform sampling. The relativistic Maxwellian energy distribution is introduced as an alternative to the Maxwell-Jüttner distribution. The cumulative distribution of the shifted-Maxwellian energy distribution is approximated by an invertible function. Random variates of energy is transformed from uniformly distributed random variables. Then, the energy variates are converted to momentum vector variates. Numerical tests are presented to show that the present method successfully reproduce the relativistic Maxwellian energy distribution.
title Loading of Relativistic Maxwellian-type Distributions Revisited
topic Plasma Physics
Computational Physics
url https://arxiv.org/abs/2603.03791