{"title":"强制一维蜂群模型","authors":"Md Sayeed Anwar, Dibakar Ghosh, Kevin O'Keeffe","doi":"arxiv-2409.05342","DOIUrl":null,"url":null,"abstract":"We study a simple model of swarmalators subject to periodic forcing and\nconfined to move around a one-dimensional ring. This is a toy model for\nphysical systems with a mix of sync, swarming, and forcing such as colloidal\nmicromotors. We find several emergent macrostates and characterize the phase\nboundaries between them analytically. The most novel state is a swarmalator\nchimera, where the population splits into two sync dots, which enclose a\n`train' of swarmalators that run around a peanut-shaped loop.","PeriodicalId":501305,"journal":{"name":"arXiv - PHYS - Adaptation and Self-Organizing Systems","volume":"46 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The forced one-dimensional swarmalator model\",\"authors\":\"Md Sayeed Anwar, Dibakar Ghosh, Kevin O'Keeffe\",\"doi\":\"arxiv-2409.05342\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study a simple model of swarmalators subject to periodic forcing and\\nconfined to move around a one-dimensional ring. This is a toy model for\\nphysical systems with a mix of sync, swarming, and forcing such as colloidal\\nmicromotors. We find several emergent macrostates and characterize the phase\\nboundaries between them analytically. The most novel state is a swarmalator\\nchimera, where the population splits into two sync dots, which enclose a\\n`train' of swarmalators that run around a peanut-shaped loop.\",\"PeriodicalId\":501305,\"journal\":{\"name\":\"arXiv - PHYS - Adaptation and Self-Organizing Systems\",\"volume\":\"46 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Adaptation and Self-Organizing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.05342\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Adaptation and Self-Organizing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.05342","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We study a simple model of swarmalators subject to periodic forcing and
confined to move around a one-dimensional ring. This is a toy model for
physical systems with a mix of sync, swarming, and forcing such as colloidal
micromotors. We find several emergent macrostates and characterize the phase
boundaries between them analytically. The most novel state is a swarmalator
chimera, where the population splits into two sync dots, which enclose a
`train' of swarmalators that run around a peanut-shaped loop.