Monte carlo simulation on the phase transition of animal group: a q-state potts model
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The system is put under a source of external perturbation called “noise”, the individuals can freely move from one site to another site on a two-dimension triangular lattice. We use the Monte-Carlo simulation technique for studying the behavior of the model with varying noise. For simplicity, we consider the orientation of individuals which has q states as in the Potts model. We show that the system has three phases which correspond to the uncollected, flocking and runaway behaviors at very low, medium and high noise, respectively. These phases are separated by two first-order transitions.
Nội dung trích xuất từ tài liệu:
Monte carlo simulation on the phase transition of animal group: a q-state potts model
Nội dung trích xuất từ tài liệu:
Monte carlo simulation on the phase transition of animal group: a q-state potts model
Tìm kiếm theo từ khóa liên quan:
Communications in Physics Monte carlo simulation The phase transition of animal group A q-state potts model Flocking and runaway behavior The Monte-Carlo simulation techniqueGợi ý tài liệu liên quan:
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