title: Collective dynamics of self-propelled particles with variable speed.
abstract: Understanding the organization of collective motion in biological systems is an ongoing challenge. In this paper we consider a minimal model of self-propelled particles with variable speed. Inspired by experimental data from schooling fish, we introduce a power-law dependency of the speed of each particle on the degree of polarization order in its neighborhood. We derive analytically a coarse-grained continuous approximation for this model and find that, while the specific variable speed rule used does not change the details of the ordering transition leading to collective motion, it induces an inverse power-law correlation between the speed or the local polarization order and the local density. Using numerical simulations, we verify the range of validity of this continuous description and explore regimes beyond it. We discover, in disordered states close to the transition, a phase-segregated regime where most particles cluster into almost static groups surrounded by isolated high-speed particles. We argue that the mechanism responsible for this regime could be present in a wide range of collective motion dynamics.
authors.affiliation: Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey 08544, USA.
authors.forename: Shradha
authors.initials: S
authors.lastname: Mishra
authors.forename: Kolbjørn
authors.initials: K
authors.lastname: Tunstrøm
authors.forename: Iain D
authors.initials: ID
authors.lastname: Couzin
authors.forename: Cristián
authors.initials: C
authors.lastname: Huepe
mesh_terms: D000818:Animals; D001522:Behavior, Animal / Q000502:physiology*; D003198:Computer Simulation; D005399:Fishes / Q000502:physiology*; D008954:Models, Biological; D012919:Social Behavior; D013550:Swimming / Q000502:physiology*