Investigation of Experimental Observables in Search of the Chiral Magnetic Effect in Heavy-ion Collisions in the STAR experiment
Subikash Choudhury, Xin Dong, Jim Drachenberg, James Dunlop, ShinIchi, Esumi, Yicheng Feng, Evan Finch, Yu Hu, Jiangyong Jia, Jerome Lauret, Wei Li,, Jinfeng Liao, Yufu Lin, Mike Lisa, Takafumi Niida, Robert Lanny Ray, Masha, Sergeeva, Diyu Shen, Shuzhe Shi, Paul Sorensen

TL;DR
This paper investigates experimental observables for detecting the chiral magnetic effect in heavy-ion collisions, comparing methods using simulations and event generators to evaluate their sensitivity and consistency.
Contribution
It introduces a comparative analysis of three experimental approaches for CME detection, verifying their equivalence and sensitivity using simulations and realistic event generators.
Findings
The three observables are equivalent in their kernel components.
Simulations show consistent sensitivity to the CME signal.
Results inform optimal strategies for CME detection in heavy-ion collisions.
Abstract
The chiral magnetic effect (CME) is a novel transport phenomenon, arising from the interplay between quantum anomalies and strong magnetic fields in chiral systems. In high-energy nuclear collisions, the CME may survive the expansion of the quark-gluon plasma fireball and be detected in experiments. Over the past decade, the experimental searches for the CME have aroused extensive interest at the Relativistic Heavy Ion Collider (RHIC) and the Large Hadron Collider (LHC). The main goal of this article is to investigate three pertinent experimental approaches: the correlator, the correlator and the signed balance functions. We will exploit both simple Monte Carlo simulations and a realistic event generator (EBE-AVFD) to verify the equivalence in the kernel-component observables among these methods and to ascertain their sensitivities to the CME signal for the isobaric…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
