期刊
PHYSICAL REVIEW E
卷 89, 期 4, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevE.89.042707
关键词
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资金
- University of Maryland [S-AFOSR FA95501010250]
- EPSRC [EP/K018450/1]
- MC Career Integration
- [IIT-Seed Artswarm]
- [ERCStG n. 257126]
- EPSRC [EP/K018450/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/K018450/1] Funding Source: researchfish
We derive a new method to infer from data the out-of-equilibrium alignment dynamics of collectively moving animal groups, by considering the maximum entropy model distribution consistent with temporal and spatial correlations of flight direction. When bird neighborhoods evolve rapidly, this dynamical inference correctly learns the parameters of the model, while a static one relying only on the spatial correlations fails. When neighbors change slowly and the detailed balance is satisfied, we recover the static procedure. We demonstrate the validity of the method on simulated data. The approach is applicable to other systems of active matter.
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