Study of the multiparticle event structure with fractal dimension Oleg Rogachevsky JINR July 1st, 2011
Self-similarity & scaling in nuclear collisions Recently, a large variety of experimental results indicated that multiparticle production in high energy collisions possesses a self-similarity property when the resolution in phase space is increased. In analogy with the well known phenomena in geometrical and statistical systems exhibiting self-similarity, it was suggested that the ideas and methods of deterministic chaos in nonlinear physics can be used to analyze the data of multiplicity production at high energy collisions. Intermittency, Z – scaling, Π-scaling, …
Some effects in high energy AuAu collisions 3 Pedestal&flow subtracted Phys. Rev. Lett. 91, (2003). Disappearance of away side jet and more others...
Collections of small entities (particles or whatever) behave haphazardly, even though physical laws govern the particles individually Deterministic chaos chaos results from deterministic process Fractals deal with geometric patterns (represented chaos) and quantitative way of characterizing these patterns. Chaos, in contrast, deals with time evolution and its underlying or distinguishing characteristics Garnett P. Williams “Chaos Theory Tamed” Deterministic chaos 4 A fractal is a shape made of parts similar to the whole in some way E.Feder
Koch’s arc r - scale N(r) - number of elements in fractal at given scale Fractal dimension 5 The fractal dimension of sets observed in the dynamics can be used as quantitative measure of the chaoticity
O.R. Proceedings of ICHEP 2006
p T max – momentum of a particle with the maximum momentum in the event
Disappearance of away side jet Pedestal&flow subtracted Phys. Rev. Lett. 91, (2003).
Azimuthal anisotropy
197 Au + Em at 11.6 A GeV/c BNL AGS, Experiment E minimum bias events
208 Pb + Em at 158 A GeV/c CERN SPS, EMU12 Experiment 628 minimum bias events
pC, dC, αC, 4.2A GeV/c Levy distribution CC 4.2A GeV/c
Shifts with A Broadening with A CC 4.2A GeV/c
Summary Fractal dimension is sensitive to the global event structure Fractal dimension analysis is useful to understand features in events More specific methods which could be implemented to small number of the particles are needed
15 Thanks for attention & To organizers for invitation
Pythia 16