Collective motion of organisms in three dimensions

Abstract

We study a model of flocking in order to describe the transitions during the collective motion of organisms in three dimensions (e.g., birds). In this model the particles representing the organisms are self-propelled, i.e., they move with the same absolute velocity. In addition, the particles locally interact by choosing at each time step the average direction of motion of their neighbors and the effects of fluctuations are taken into account as well. We present the first results for large scale flocking in the presence of noise in three dimensions. We show that depending on the control parameters both disordered and long-range ordered phases can be observed. The corresponding phase diagram has a number of features which are qualitatively different from those typical for the analogous equilibrium models.

3 pages, 4 figures

References in corpus (3)

• Novel type of phase transition in a system of self-driven particles
• Flocks, herds, and schools: A quantitative theory of flocking
• Active Walker Model for the Formation of Human and Animal Trail Systems

Cited by in corpus (16)

• Statistical physics of social dynamics
• Traffic and Related Self-Driven Many-Particle Systems
• Collective motion of self-propelled particles interacting without cohesion
• Collective behavior of interacting self-propelled particles
• Collective behaviour without collective order in wild swarms of midges
• Finite-size scaling as a way to probe near-criticality in natural swarms
• Phase transitions in swarming systems: A recent debate
• Diffusion in a continuum model of self-propelled particles with alignment interaction
• Turning with the others: novel transitions in an SPP model with coupling of accelerations
• Thermal and Athermal Swarms of Self-Propelled Particles
• Phase transition in the scalar noise model of collective motion in three dimensions
• First- and second-order phase transitions in a driven lattice gas with nearest-neighbor exclusion
• Macroscopic Time-Reversal Symmetry Breaking at Nonequilibrium Phase Transition
• Development of swarm behavior in artificial learning agents that adapt to different foraging environments
• Spontaneous chiral symmetry breaking in model bacterial suspensions
• Self-propelled Vicsek particles at low speed and low density