Collective motion of self-propelled particles with complex noise environments

Bing-Quan Zhang and Zhi-Gang Shao

Physica A: Statistical Mechanics and its Applications, 2021, vol. 563, issue C

Abstract: Collective motion of self-propelled particles with complex noise environments is investigated via simulations based on the Vicsek model. In our model, self-propelled particles move in a square divided into one part with noise and the other without noise. Via simulations, it is found that the proportion of noise region p has an important impact on the collective motion of the system. Specifically, there is a transition at the critical pc. When ppc, the order parameter of synchronization rapidly decreases. More interestingly, the value of pc decreases as the noise amplitude η increases. Simultaneously, when ppc, the value of λ increases dramatically. Furthermore, pc gradually increases as the number of particles increases. Our results provide new sights into the study of collective motion in nature.

Keywords: Collective motion; Complex noise; Self-propelled; Synchronization (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:563:y:2021:i:c:s0378437120307305

DOI: 10.1016/j.physa.2020.125382

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