Paper
Loading of Relativistic Maxwellian-type Distributions Revisited
Authors
Takayuki Umeda
Abstract
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.
Metadata
Related papers
Fractal universe and quantum gravity made simple
Fabio Briscese, Gianluca Calcagni • 2026-03-25
POLY-SIM: Polyglot Speaker Identification with Missing Modality Grand Challenge 2026 Evaluation Plan
Marta Moscati, Muhammad Saad Saeed, Marina Zanoni, Mubashir Noman, Rohan Kuma... • 2026-03-25
LensWalk: Agentic Video Understanding by Planning How You See in Videos
Keliang Li, Yansong Li, Hongze Shen, Mengdi Liu, Hong Chang, Shiguang Shan • 2026-03-25
Orientation Reconstruction of Proteins using Coulomb Explosions
Tomas André, Alfredo Bellisario, Nicusor Timneanu, Carl Caleman • 2026-03-25
The role of spatial context and multitask learning in the detection of organic and conventional farming systems based on Sentinel-2 time series
Jan Hemmerling, Marcel Schwieder, Philippe Rufin, Leon-Friedrich Thomas, Mire... • 2026-03-25
Raw Data (Debug)
{
"raw_xml": "<entry>\n <id>http://arxiv.org/abs/2603.03791v1</id>\n <title>Loading of Relativistic Maxwellian-type Distributions Revisited</title>\n <updated>2026-03-04T07:07:07Z</updated>\n <link href='https://arxiv.org/abs/2603.03791v1' rel='alternate' type='text/html'/>\n <link href='https://arxiv.org/pdf/2603.03791v1' rel='related' title='pdf' type='application/pdf'/>\n <summary>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.</summary>\n <category scheme='http://arxiv.org/schemas/atom' term='physics.plasm-ph'/>\n <category scheme='http://arxiv.org/schemas/atom' term='physics.comp-ph'/>\n <published>2026-03-04T07:07:07Z</published>\n <arxiv:primary_category term='physics.plasm-ph'/>\n <author>\n <name>Takayuki Umeda</name>\n </author>\n </entry>"
}