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Motional consensus of self-propelled particles

The motional consensus of self-propelled particles is studied in both noise-free cases and cases with noise by the standard Vicsek model. In the absence of noise, we propose a simple method, using grid-based technique and defining the normalized variance of the ratio of the number of particles local...

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Detalles Bibliográficos
Autores principales: Qian, Jia-xin, Wang, Jun, Lu, Yan-qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199942/
https://www.ncbi.nlm.nih.gov/pubmed/37210399
http://dx.doi.org/10.1038/s41598-023-35238-w
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author Qian, Jia-xin
Wang, Jun
Lu, Yan-qing
author_facet Qian, Jia-xin
Wang, Jun
Lu, Yan-qing
author_sort Qian, Jia-xin
collection PubMed
description The motional consensus of self-propelled particles is studied in both noise-free cases and cases with noise by the standard Vicsek model. In the absence of noise, we propose a simple method, using grid-based technique and defining the normalized variance of the ratio of the number of particles locally to globally, to quantitatively study the movement pattern of the system by the spatial distribution of the particles and the degree of aggregation of particles. It is found that the weaker correlation of velocity leads to larger degree of aggregation of the particles. In the cases with noise, we quantify the competition between velocity alignment and noise by considering the difference of the variety of order parameter result from the velocity alignment and noise. The variation of the effect of noise on motional consensus is non-monotonic for the change of the probability distribution of noise from uniform to non-uniform. Our results may be useful and encourage further efforts in exploring the basic principles of collective motion.
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spelling pubmed-101999422023-05-22 Motional consensus of self-propelled particles Qian, Jia-xin Wang, Jun Lu, Yan-qing Sci Rep Article The motional consensus of self-propelled particles is studied in both noise-free cases and cases with noise by the standard Vicsek model. In the absence of noise, we propose a simple method, using grid-based technique and defining the normalized variance of the ratio of the number of particles locally to globally, to quantitatively study the movement pattern of the system by the spatial distribution of the particles and the degree of aggregation of particles. It is found that the weaker correlation of velocity leads to larger degree of aggregation of the particles. In the cases with noise, we quantify the competition between velocity alignment and noise by considering the difference of the variety of order parameter result from the velocity alignment and noise. The variation of the effect of noise on motional consensus is non-monotonic for the change of the probability distribution of noise from uniform to non-uniform. Our results may be useful and encourage further efforts in exploring the basic principles of collective motion. Nature Publishing Group UK 2023-05-20 /pmc/articles/PMC10199942/ /pubmed/37210399 http://dx.doi.org/10.1038/s41598-023-35238-w 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
Qian, Jia-xin
Wang, Jun
Lu, Yan-qing
Motional consensus of self-propelled particles
title Motional consensus of self-propelled particles
title_full Motional consensus of self-propelled particles
title_fullStr Motional consensus of self-propelled particles
title_full_unstemmed Motional consensus of self-propelled particles
title_short Motional consensus of self-propelled particles
title_sort motional consensus of self-propelled particles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199942/
https://www.ncbi.nlm.nih.gov/pubmed/37210399
http://dx.doi.org/10.1038/s41598-023-35238-w
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