Communications Physics (Apr 2022)

Inferring the size of a collective of self-propelled Vicsek particles from the random motion of a single unit

  • Pietro De Lellis,
  • Maurizio Porfiri

DOI
https://doi.org/10.1038/s42005-022-00864-9
Journal volume & issue
Vol. 5, no. 1
pp. 1 – 6

Abstract

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Inferring the number of interacting components in a complex, noisy, possibly non-equilibrium, system is of interest to various fields of science. Here, the authors present a method to extract the size of an ensemble of self-propelled Vicsek particles starting from the motion of a single unit by exploiting the analogy with the classical kinetic theory of gases.