Event Shape Selection Method in Search of the Chiral Magnetic Effect in Heavy-ion Collisions
Zhiwan Xu, Brian Chan, Gang Wang, Aihong Tang, and Huan Zhong Huang

TL;DR
This paper investigates an event shape selection method to reduce background noise in the search for the chiral magnetic effect in heavy-ion collisions, identifying optimal variables for better signal extraction.
Contribution
It introduces a novel approach combining event shape and elliptic flow variables, tested with simulations, to improve background suppression in CME searches.
Findings
Resonance elliptic flow correlates with background and CME signals, making it unsuitable for background control.
Optimal background suppression achieved using single-particle elliptic flow with particle pair-based event shape variables.
Simulation results guide the best event shape selection strategy for future experimental analyses.
Abstract
The search for the chiral magnetic effect (CME) in heavy-ion collisions has been impeded by the significant background arising from the anisotropic particle emission pattern, particularly elliptic flow. To alleviate this background, the event shape selection (ESS) technique categorizes collision events according to their shapes and projects the CME observables to a class of events with minimal flow. In this study, we explore two event shape variables to classify events and two elliptic flow variables to regulate the background. Each type of variable can be calculated from either single particles or particle pairs, resulting in four combinations of event shape and elliptic flow variables. By employing a toy model and the realistic event generator, event-by-event anomalous-viscous fluid dynamics (EBE-AVFD), we discover that the elliptic flow of resonances exhibits correlations with both…
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Taxonomy
TopicsHigh-Energy Particle Collisions Research · Markov Chains and Monte Carlo Methods · Stochastic processes and statistical mechanics
