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Constraining the CME in AVFD-simulated heavy-ion collisions using the sliding dumbbell method.

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Title: Constraining the CME in AVFD-simulated heavy-ion collisions using the sliding dumbbell method.
Authors: Singh, Jagbir1 (AUTHOR), Sharma, Anjali2 (AUTHOR), Nain, Ankita3 (AUTHOR), Aggarwal, Madan M.4 (AUTHOR) aggarwal@pu.ac.in
Source: European Physical Journal A -- Hadrons & Nuclei. Mar2026, Vol. 62 Issue 3, p1-14. 14p.
Subjects: Heavy ion collisions, Correlators, Data analysis, Quantum chromodynamics
Abstract: The Anomalous Viscous Fluid Dynamics (AVFD) framework is utilized to generate 79 197 Au + 79 197 Au , 44 96 Ru + 44 96 Ru , and 40 96 Zr + 40 96 Zr collision events at s NN = 200 GeV to investigate the Chiral Magnetic Effect (CME). The CME signal is modulated through the axial charge per entropy density ( n 5 / s ) in each event to produce data sets with varying CME signal strengths. Additionally, a 33 % local charge conservation (LCC) is implemented in each event. These data sets are analyzed using CME-sensitive two- and three-particle correlators. Furthermore, the Sliding Dumbbell Method (SDM) is employed to identify potential CME-like events within each data set. The identified events selected using the SDM exhibit characteristics consistent with CME driven charge separation. The CME fraction in these events is quantified while accounting for background contributions. It is found that a 33 % LCC contribution can mimic the CME signal in both Au + Au and isobar collisions. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:The Anomalous Viscous Fluid Dynamics (AVFD) framework is utilized to generate 79 197 Au + 79 197 Au , 44 96 Ru + 44 96 Ru , and 40 96 Zr + 40 96 Zr collision events at s NN = 200 GeV to investigate the Chiral Magnetic Effect (CME). The CME signal is modulated through the axial charge per entropy density ( n 5 / s ) in each event to produce data sets with varying CME signal strengths. Additionally, a 33 % local charge conservation (LCC) is implemented in each event. These data sets are analyzed using CME-sensitive two- and three-particle correlators. Furthermore, the Sliding Dumbbell Method (SDM) is employed to identify potential CME-like events within each data set. The identified events selected using the SDM exhibit characteristics consistent with CME driven charge separation. The CME fraction in these events is quantified while accounting for background contributions. It is found that a 33 % LCC contribution can mimic the CME signal in both Au + Au and isobar collisions. [ABSTRACT FROM AUTHOR]
ISSN:14346001
DOI:10.1140/epja/s10050-026-01796-6