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SUMMARY:Natural swarms in 3.99 dimension - Giulia Pisegna (Max Planck Inst
 itute for Dynamics and Self Organisation)
DTSTART:20230811T090000Z
DTEND:20230811T100000Z
UID:TALK201481@talks.cam.ac.uk
DESCRIPTION:Experimental data on biological systems of groups of animals s
 how that the validity of scaling laws is one of the fundamental traits of 
 collective behaviour. Strong correlation is indeed the key ingredient to e
 nsure a large-scale coherent motion. Analyzing experimental data on insect
  swarms\, we see how to quantify the degree of correlation in this system 
 and how to reproduce it with theoretical models.&nbsp\;Natural swarms show
  both strong spatial and temporal correlation\, expressed by a dynamical c
 ritical exponent $z_{exp} = 1.37 \\pm 0.11$ linking correlation length and
  characteristic time scale of the system. Driven by experimental data\, we
  develop a theory able to rationalize this evidence. We use field theoreti
 cal techniques and the Renormalization Group (RG) to compute an analytical
  prediction for the exponent\, i.e. $z=1.35$\, in very good agreement with
  experimental results.&nbsp\;For the first time\, the predictive power of 
 the RG is extended to collective biological systems\, strengthening the ef
 fort to put physical biology on a firm basis.&nbsp\;\nCo-Authors: Andrea C
 avagna\, Luca Di Carlo\, Irene Giardina\, Tomas S. Grigera\,&nbsp\; Stefan
 ia Melillo\, Leonardo Parisi\, Mattia Scandolo.
LOCATION:Seminar Room 1\, Newton Institute
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