में बचाया:
| मुख्य लेखकों: | , , , , , , |
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| स्वरूप: | Preprint |
| प्रकाशित: |
2019
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| विषय: | |
| ऑनलाइन पहुंच: | https://arxiv.org/abs/1904.03236 |
| टैग: |
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| _version_ | 1866914430142382080 |
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| author | Reyes, A. Curbelo, M. Tejera, F. Rivera, A. Turner, M. S. Ramos, O. Altshuler, E. |
| author_facet | Reyes, A. Curbelo, M. Tejera, F. Rivera, A. Turner, M. S. Ramos, O. Altshuler, E. |
| contents | We report the emergence of Log-normal Superstatistics in the collective motion of ants confined in a quasi-2D arena and exposed to a panic-inducing stimulus. A data-driven superstatistical Langevin model accurately reproduces the transition from stationary behavior to an organized escape response, characterized by non-Gaussian velocity distributions and a stochastic diffusion coefficient. Our findings show that danger information propagates via a memory-limited, cascade-like mechanism, resulting in a stable cluster formation despite individual memory constraints. These results indicate that a slowly varying diffusivity arises from the multiplicative combination of interaction-mediated processes under confinement, leading naturally to Log-normal fluctuations. The persistence of this statistical structure under panic reveals a form of collective resilience, establishing a mechanistic bridge between Superstatistics and living active matter in confined environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1904_03236 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | Log-normal Superstatistics Reveals Statistical Resilience in the Panic Response of Confined Ants Reyes, A. Curbelo, M. Tejera, F. Rivera, A. Turner, M. S. Ramos, O. Altshuler, E. Populations and Evolution We report the emergence of Log-normal Superstatistics in the collective motion of ants confined in a quasi-2D arena and exposed to a panic-inducing stimulus. A data-driven superstatistical Langevin model accurately reproduces the transition from stationary behavior to an organized escape response, characterized by non-Gaussian velocity distributions and a stochastic diffusion coefficient. Our findings show that danger information propagates via a memory-limited, cascade-like mechanism, resulting in a stable cluster formation despite individual memory constraints. These results indicate that a slowly varying diffusivity arises from the multiplicative combination of interaction-mediated processes under confinement, leading naturally to Log-normal fluctuations. The persistence of this statistical structure under panic reveals a form of collective resilience, establishing a mechanistic bridge between Superstatistics and living active matter in confined environments. |
| title | Log-normal Superstatistics Reveals Statistical Resilience in the Panic Response of Confined Ants |
| topic | Populations and Evolution |
| url | https://arxiv.org/abs/1904.03236 |