Number fluctuations distinguish different self-propelling dynamics
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866908934795689984 |
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| author | Cerdin, Tristan Marbach, Sophie Douarche, Carine |
| author_facet | Cerdin, Tristan Marbach, Sophie Douarche, Carine |
| contents | In nonequilibrium suspensions, static number fluctuations $N$ in virtual observation boxes reveal remarkable structural properties, but the dynamic potential of $N(t)$ signals remains unexplored. Here, we develop a theory to learn the dynamical parameters of self-propelled particle models from $N(t)$ statistics. Unlike traditional trajectory analysis, $N(t)$ statistics distinguish between models, by sensing subtle differences in reorientation dynamics that govern re-entrance events in boxes. This paves the way for quantifying advanced dynamic features in dense nonequilibrium suspensions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_02872 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Number fluctuations distinguish different self-propelling dynamics Cerdin, Tristan Marbach, Sophie Douarche, Carine Soft Condensed Matter Statistical Mechanics In nonequilibrium suspensions, static number fluctuations $N$ in virtual observation boxes reveal remarkable structural properties, but the dynamic potential of $N(t)$ signals remains unexplored. Here, we develop a theory to learn the dynamical parameters of self-propelled particle models from $N(t)$ statistics. Unlike traditional trajectory analysis, $N(t)$ statistics distinguish between models, by sensing subtle differences in reorientation dynamics that govern re-entrance events in boxes. This paves the way for quantifying advanced dynamic features in dense nonequilibrium suspensions. |
| title | Number fluctuations distinguish different self-propelling dynamics |
| topic | Soft Condensed Matter Statistical Mechanics |
| url | https://arxiv.org/abs/2604.02872 |