Charged-to-neutral correlation at forward rapidity in Au+Au collisions at $\sqrt{s_{NN}}$=200 GeV
STAR Collaboration: N. M. Abdelwahab, L. Adamczyk, J. K. Adkins, G., Agakishiev, M. M. Aggarwal, Z. Ahammed, I. Alekseev, J. Alford, C. D. Anson,, A. Aparin, D. Arkhipkin, E. C. Aschenauer, G. S. Averichev, A. Banerjee, D., R. Beavis, R. Bellwied, A. Bhasin, A. K. Bhati

TL;DR
This study investigates event-by-event fluctuations of charged and neutral particle ratios at forward rapidity in Au+Au collisions at 200 GeV, revealing significant dynamical fluctuations beyond model predictions, with implications for understanding particle production mechanisms.
Contribution
It provides the first evidence of significant charge-neutral dynamical fluctuations in heavy-ion collisions at forward rapidity, contrasting with net-charge fluctuation expectations.
Findings
Significant dynamical charge-neutral fluctuations observed beyond model predictions.
Fluctuations are not dominated by particle decay correlations.
Results align with isospin symmetry expectations, showing no significant deviation.
Abstract
Event-by-event fluctuations of the ratio of inclusive charged to photon multiplicities at forward rapidity in Au+Au collision at =200 GeV have been studied. Dominant contribution to such fluctuations is expected to come from correlated production of charged and neutral pions. We search for evidences of dynamical fluctuations of different physical origins. Observables constructed out of moments of multiplicities are used as measures of fluctuations. Mixed events and model calculations are used as baselines. Results are compared to the dynamical net-charge fluctuations measured in the same acceptance. A non-zero statistically significant signal of dynamical fluctuations is observed in excess to the model prediction when charged particles and photons are measured in the same acceptance. We find that, unlike dynamical net-charge fluctuation, charge-neutral fluctuation is not…
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.
