Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/74109
Title: Collective motion in nature
Authors: Tan, Hui Luan
Keywords: DRNTU::Science::Physics::Atomic physics::Statistical physics
Issue Date: 2018
Abstract: Collective motion refers to the emergence of a global phenomena by natural systems which interact locally. The aim of this report is to understand collective motion by considering the statistical physics behind this collective occurrence. An investigation on the foraging behaviour of an ant colony was carried out using a simplistic Vicsek model that was modified appropriately to fit an ant system. The model would take into account the local interaction rules generally adhered by groups of animals and insects, as well as the effect in which pheromones have on individual ants. Through analysing the order parameter which relates to the orientation of the group as a whole, our simulations showed that ants self-organised into an ordered state forming lanes between the food source and the nest. The ants move either in the same or opposite directions in the pheromone trail. By considering their absolute orientation, they exhibit a collective behaviour where no direct communication is involved. The results generated from the simulations indicated that the ant system could transit fully from a disordered state to an ordered state under a certain range of chosen physical parameters – velocity of ants and noise factor (or the randomness in system). The velocity autocorrelation function as well the two point velocity correlation function further supported the occurrence of phase transition in the ant system during their food raid.
URI: http://hdl.handle.net/10356/74109
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
PH4405FYP_TANHUILUAN_U1440280K.pdf
  Restricted Access
FYP Report9.49 MBAdobe PDFView/Open

Page view(s) 50

100
checked on Oct 25, 2020

Download(s) 50

18
checked on Oct 25, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.