How to Find the QCD Critical Point
Krishna Rajagopal (MIT)

TL;DR
This paper discusses methods to locate the QCD critical point in heavy ion collisions by analyzing event-by-event fluctuations in particle multiplicities and momenta, emphasizing nonmonotonic signatures near the phase transition.
Contribution
It proposes a framework for identifying the QCD critical point through fluctuation analysis and compares experimental data with thermodynamic predictions, including effects of critical fluctuations.
Findings
Good agreement between NA49 data and thermodynamic predictions for noncritical fluctuations.
Estimation of nonmonotonic effects due to critical fluctuations near the critical point.
Analysis of finite size and time effects on fluctuation signatures.
Abstract
The event-by-event fluctuations in heavy ion collisions carry information about the thermodynamic properties of the hadronic system at the time of freeze-out. By studying these fluctuations as a function of varying control parameters, such as the collision energy, it is possible to learn much about the phase diagram of QCD. As a timely example, we stress the methods by which present experiments at the CERN SPS can locate the second order critical point at which a line of first order phase transitions ends. Those event-by-event signatures which are characteristic of freeze-out in the vicinity of the critical point will exhibit nonmonotonic dependence on control parameters. We focus on observables constructed from the multiplicity and transverse momenta of charged pions. We find good agreement between NA49 data and thermodynamic predictions for the noncritical fluctuations of such…
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 · Theoretical and Computational Physics · Stochastic processes and statistical mechanics
