Probing the nature of the QCD phase transition with higher-order net-proton number fluctuation and local parton density fluctuation measurements at RHIC-STAR
Dylan Neff (for the STAR Collaboration)

TL;DR
This paper investigates the QCD phase transition using higher-order net-proton fluctuation measurements at RHIC-STAR, providing insights into the critical point and the nature of the transition from quark-gluon plasma to hadron gas.
Contribution
It introduces new fluctuation measurements across energies and centralities, revealing energy-dependent behaviors and potential signals of phase transition types.
Findings
Consistent with lattice QCD predictions at low baryon chemical potential.
Opposite fluctuation trends observed at 3 GeV suggest hadronic dominance.
Proton multiplicity variance shows strong event multiplicity dependence.
Abstract
The moments of proton and net-proton multiplicity distributions are observables expected to be sensitive to the QCD critical point and the nature of the QCD phase transition from QGP to hadron gas. Hyper-order cumulants are measured in wide centrality bins in STAR BES-I data and found to be qualitatively consistent with trends predicted by lattice QCD which finds a cross-over phase transition at low . Data collected at GeV in BES-II exhibit trends opposite of those observed in higher energy collisions which may suggest the dominance of hadronic interactions at this energy. The variance of proton multiplicity distributions in azimuthal partitions is measured to search for signals of clustering indicative of a first-order phase transition. A strong dependence on the event multiplicity is observed. This dependence is independent of energy in AMPT while in…
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.
Taxonomy
TopicsHigh-Energy Particle Collisions Research · Particle physics theoretical and experimental studies · Computational Physics and Python Applications
