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Intermittency Analysis of Toy Monte Carlo Events

Sheetal Sharma, Ramni Gupta

SciPost Phys. Proc. 10, 024 (2022) · published 11 August 2022

Proceedings event

50th International Symposium on Multiparticle Dynamics

Abstract

Event-by-event intermittency analysis of Toy Monte Carlo events is performed in the scenario of high multiplicity events as is the case at recent colliders RHIC and LHC for AA collisions. A power law behaviour of Normalized Factorial Moments (NFM), $F_{q}$ as function of number of bins ($M$) known as intermittency, is a signature of self-similar fluctuations. Dependence of NFM on the detector efficiencies and on the presence of fluctuations have been studied. Results presented here provide a baseline to the experimental results and clarity on the application of efficiency corrections to the experimental data.

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