Fly Swarm and Self-Organized Criticality
Faculty Sponsor(s)
Joelle Murray
Location
Jereld R. Nicholson Library: Grand Avenue
Subject Area
Physics/Applied Physics
Description
A system is complex if it contains many interacting components. The motivation to study the properties of such systems comes from their prevalence in nature. At the foundation of this research is Self-Organized Criticality (SOC), put forward by Per Bak and colleagues in 1987. SOC is exhibited by slowly driven, dynamic systems that have a critical point as an attractor. In 2014, Attanasi et al. published “Finite-Size Scaling as a Way to Probe Near-Criticality in Natural Swarms,” suggesting that fly swarms exhibit criticality. A computational model was created for analyzing fly swarms for evidence of SOC.
Recommended Citation
Rusere, Kuzivakwashe and Maier, Alleta, "Fly Swarm and Self-Organized Criticality" (2017). Linfield University Student Symposium: A Celebration of Scholarship and Creative Achievement. Event. Submission 66.
https://digitalcommons.linfield.edu/symposium/2017/all/66
Fly Swarm and Self-Organized Criticality
Jereld R. Nicholson Library: Grand Avenue
A system is complex if it contains many interacting components. The motivation to study the properties of such systems comes from their prevalence in nature. At the foundation of this research is Self-Organized Criticality (SOC), put forward by Per Bak and colleagues in 1987. SOC is exhibited by slowly driven, dynamic systems that have a critical point as an attractor. In 2014, Attanasi et al. published “Finite-Size Scaling as a Way to Probe Near-Criticality in Natural Swarms,” suggesting that fly swarms exhibit criticality. A computational model was created for analyzing fly swarms for evidence of SOC.
