Open AccessLangevin Dynamic Simulation of self-propelled particles in two-dimensional systems
Author(s) -
L. Amallah,
A. Hader,
R. Bakir,
H. Sbiaaia,
I. Tarras,
Y. Boughaleb
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/948/1/012002
Subject(s) - statistical physics , langevin equation , noise (video) , time evolution , correlation function (quantum field theory) , langevin dynamics , power law , physics , crossover , acceleration , kinetic energy , stochastic process , phase space , spectral density , classical mechanics , mathematics , computer science , thermodynamics , quantum mechanics , statistics , artificial intelligence , image (mathematics)
Collective motion of self-propelled particles is one of basic phenomenon observed in large spectra of biological system behavior due to the correlated process evolution in space and time. In this manuscript, we study numerically the kinetic properties and the correlation process in complex systems evolves out equilibrium phase by employing the Langevin dynamics. In this model, we have adopted one zone of orientation where the system evolves spontaneously in presence of quenched stochastic noise. The results show that the system evolves to its equilibrium phase by reaching one orientation. Hence, this evolution is characterized by a correlation process increasing in time but with decelerate profile. However the obtained profile of the correlation function per time unity shows that the collective motion in complex system, can be characterized by a characteristic time when the system change the acceleration of the correlation process. Our result shows that this characteristic time decreases exponentially with the quenched noise. In the additional crossover time at when the system reaches its equilibrium phase, scales with quenched noise as power law. This result is more consisting with the one of Vicsek model