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Intermittency analysis in relativistic heavy-ion collisions

by Zhiming Li, Jin Wu

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Submission summary

Authors (as registered SciPost users): Zhiming Li
Submission information
Preprint Link: https://arxiv.org/abs/2110.13394v2  (pdf)
Date accepted: 2022-02-28
Date submitted: 2021-11-18 08:16
Submitted by: Li, Zhiming
Submitted to: SciPost Physics Proceedings
Proceedings issue: 50th International Symposium on Multiparticle Dynamics (ISMD2021)
Ontological classification
Academic field: Physics
Specialties:
  • Nuclear Physics - Theory
Approaches: Theoretical, Experimental

Abstract

Local density fluctuations near the QCD critical point can be probed by an intermittency analysis of power-law behavior on scaled factorial moments in relativistic heavy-ion collisions. We study the second-order scaled factorial moment in Au + Au collisions at $\sqrt{s_\mathrm{NN}}$ = 7.7-200 GeV from the UrQMD model. Since the background subtraction and efficiency correction are two important aspects in this measurement, we propose a cumulative variable method to remove background contribution and a cell-by-cell method for efficiency correction in the intermittency analysis.

Published as SciPost Phys. Proc. 10, 006 (2022)


Reports on this Submission

Anonymous Report 2 on 2021-12-16 (Invited Report)

Report

A study of the intermittency in Au + Au collisions using the UrQMD model is presented. Improvements are implementing leading to results that could give a guidance to background subtraction and efficiency correction for the intermittency analysis in heavy-ion experiments.

  • validity: good
  • significance: good
  • originality: good
  • clarity: good
  • formatting: good
  • grammar: good

Anonymous Report 1 on 2021-12-16 (Invited Report)

Report

A study of the intermittency in Au + Au collisions using the UrQMD model is presented. Improvements are implementing leading to results that could give a guidance to background subtraction and efficiency correction for the intermittency analysis in heavy-ion experiments.

  • validity: good
  • significance: good
  • originality: good
  • clarity: good
  • formatting: good
  • grammar: good

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