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Dynamics of stochastic-constrained particles
Prior studies have focused on the overall behavior of randomly moving particle swarms. However, the characteristics of the stochastic-constrained particles that form ubiquitously within these swarms remain oblivious. This study demonstrates a generalized diffusion equation for stochastic-constrained...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935625/ https://www.ncbi.nlm.nih.gov/pubmed/36797321 http://dx.doi.org/10.1038/s41598-023-29940-y |
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author | Guo, Tao |
author_facet | Guo, Tao |
author_sort | Guo, Tao |
collection | PubMed |
description | Prior studies have focused on the overall behavior of randomly moving particle swarms. However, the characteristics of the stochastic-constrained particles that form ubiquitously within these swarms remain oblivious. This study demonstrates a generalized diffusion equation for stochastic-constrained particles that considers the velocity and location aggregation effects observed from their parent particle swarm (i.e., a completely random particle swarm). This equation can be approximated as the form of Schrödinger equation in the microcosmic case (low relative density) and describe the dynamics of the total mass distribution in the macrocosmic case (high relative density). The predicted density distribution of the particle swarm in the stable aggregation state is consistent with the total mass distribution of massive, relaxed galaxy clusters (at least in the range of [Formula: see text] ), preventing cuspy problems in the empirical Navarro–Frenk–White profile. This study opens a window to observe the dynamics of stochastic-constrained particles from a third perspective, from which the aggregation effect of particles without gravitation can be saw. |
format | Online Article Text |
id | pubmed-9935625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99356252023-02-18 Dynamics of stochastic-constrained particles Guo, Tao Sci Rep Article Prior studies have focused on the overall behavior of randomly moving particle swarms. However, the characteristics of the stochastic-constrained particles that form ubiquitously within these swarms remain oblivious. This study demonstrates a generalized diffusion equation for stochastic-constrained particles that considers the velocity and location aggregation effects observed from their parent particle swarm (i.e., a completely random particle swarm). This equation can be approximated as the form of Schrödinger equation in the microcosmic case (low relative density) and describe the dynamics of the total mass distribution in the macrocosmic case (high relative density). The predicted density distribution of the particle swarm in the stable aggregation state is consistent with the total mass distribution of massive, relaxed galaxy clusters (at least in the range of [Formula: see text] ), preventing cuspy problems in the empirical Navarro–Frenk–White profile. This study opens a window to observe the dynamics of stochastic-constrained particles from a third perspective, from which the aggregation effect of particles without gravitation can be saw. Nature Publishing Group UK 2023-02-16 /pmc/articles/PMC9935625/ /pubmed/36797321 http://dx.doi.org/10.1038/s41598-023-29940-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Guo, Tao Dynamics of stochastic-constrained particles |
title | Dynamics of stochastic-constrained particles |
title_full | Dynamics of stochastic-constrained particles |
title_fullStr | Dynamics of stochastic-constrained particles |
title_full_unstemmed | Dynamics of stochastic-constrained particles |
title_short | Dynamics of stochastic-constrained particles |
title_sort | dynamics of stochastic-constrained particles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935625/ https://www.ncbi.nlm.nih.gov/pubmed/36797321 http://dx.doi.org/10.1038/s41598-023-29940-y |
work_keys_str_mv | AT guotao dynamicsofstochasticconstrainedparticles |