Noise induced swarming of active particles
Chunming Zheng, Ralf T\"onjes

TL;DR
This paper investigates how spatially correlated noise influences the collective motion of self-propelled particles, revealing that such noise can induce local alignment and turbulence but may inhibit global swarming depending on correlation length.
Contribution
It introduces a mean field model analyzing the impact of spatially correlated noise on swarming transitions in active particles, highlighting the dual role of noise correlations.
Findings
Correlated noise can induce local velocity alignment and turbulence.
Spatial correlation length affects the transition to global swarming.
Strong correlations can inhibit global directed motion.
Abstract
We report on the effect of spatially correlated noise on the velocities of self propelled particles. Correlations in the random forces acting on self propelled particles can induce directed collective motion, i.e. swarming. Even with repulsive coupling in the velocity directions, which favors a disordered state, strong correlations in the fluctuations can align the velocities locally leading to a macroscopic, turbulent velocity field. On the other hand, while spatially correlated noise is aligning the velocities locally, the swarming transition to globally directed motion is inhibited when the correlation length of the noise is nonzero, but smaller than the system size. We analyze the swarming transition in dimensional space in a mean field model of globally coupled velocity vectors.
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Taxonomy
TopicsMicro and Nano Robotics · Particle Dynamics in Fluid Flows · Diffusion and Search Dynamics
