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Physics of Plasmas
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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arXiv.org e-Print Archive
Preprint . 2022
Data sources: arXiv.org e-Print Archive
https://dx.doi.org/10.48550/ar...
Article . 2022
License: CC BY
Data sources: Datacite
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Loading a relativistic Kappa distribution in particle simulations

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Nov 2022Embargo end date: 01 Jan 2022 English Publisher:AIP PublishingJournal:Physics of Plasmas, volume 29 (issn: 1070-664X, eissn: 1089-7674, Copyright policy )Funded by:FCT | D4
Authors: Seiji Zenitani; Shin'ya Nakano;

doi: 10.1063/5.0117628 , 10.48550/arxiv.2210.15118

arXiv: 2210.15118

Loading a relativistic Kappa distribution in particle simulations

Abstract

A procedure for loading particle velocities from a relativistic kappa distribution in particle-in-cell and Monte Carlo simulations is presented. It is based on the rejection method and the beta prime distribution. The rejection part extends earlier method for the Maxwell–Jüttner distribution, and then the acceptance rate reaches ≳95%. Utilizing the generalized beta prime distributions, we successfully reproduce the relativistic kappa distribution, including the power-law tail. The derivation of the procedure, mathematical preparations, comparison with other procedures, and numerical tests are presented.

Related Organizations
Keywords

Plasma Physics (physics.plasm-ph), High Energy Astrophysical Phenomena (astro-ph.HE), High Energy Physics - Phenomenology, High Energy Physics - Phenomenology (hep-ph), FOS: Physical sciences, Computational Physics (physics.comp-ph), Astrophysics - High Energy Astrophysical Phenomena, Physics - Computational Physics, Physics - Plasma Physics

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
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