First measurements of pT correlations in Au+Au collisions at 3-7.7 GeV reveal non-monotonic energy dependence in central events with 5 sigma significance, breaking 1/sqrt(N_part) scaling.
Event-by-event mean $p_{\rm T}$ fluctuations in pp and Pb-Pb collisions at the LHC
7 Pith papers cite this work, alongside 101 external citations. Polarity classification is still indexing.
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abstract
Event-by-event fluctuations of the mean transverse momentum of charged particles produced in pp collisions at $\sqrt{s}$ = 0.9, 2.76 and 7 TeV, and Pb-Pb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV are studied as a function of the charged-particle multiplicity using the ALICE detector at the LHC. Dynamical fluctuations indicative of correlated particle emission are observed in all systems. The results in pp collisions show little dependence on collision energy. The Monte Carlo event generators PYTHIA and PHOJET are in qualitative agreement with the data. Peripheral Pb-Pb data exhibit a similar multiplicity dependence as that observed in pp. In central Pb-Pb, the results deviate from this trend, featuring a significant reduction of the fluctuation strength. The results in Pb--Pb are in qualitative agreement with previous measurements in Au-Au at lower collision energies and with expectations from models that incorporate collective phenomena.
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STAR's Beam Energy Scan-II data reveal non-monotonic fluctuations, hadronic-to-partonic transitions, and first experimental evidence for a weakly bound p-Omega dibaryon state.
A simplified model reproduces the observed non-monotonic pT correlation minimum via meson-baryon mixing, showing it is not a reliable signal for the QCD critical point.
Hydrodynamic simulations of heavy-ion collisions demonstrate that cumulants linking mean pT and elliptic flow quantitatively match relations derived from initial-state entropy predictors and moments of harmonic flow.
The shape of v0(pT), not its zero-crossing, encodes physical information about radial flow because centrality and normalization choices only shift the curve vertically without changing its form.
STAR reports energy-dependent variances and covariances of [p_T] and v_n^2 in Au+Au collisions from 14.6 to 200 GeV, with the dimensionless ratio remaining similar across energies.
Bayesian posteriors from JETSCAPE jet-quenching model are largely compatible across centrality but exhibit shifts across beam energy and observable class, with varying ability to predict complementary datasets.
citing papers explorer
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Non-Monotonicity of Transverse Momentum Correlations in Au + Au Collisions at RHIC
First measurements of pT correlations in Au+Au collisions at 3-7.7 GeV reveal non-monotonic energy dependence in central events with 5 sigma significance, breaking 1/sqrt(N_part) scaling.
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Recent highlights from the STAR Experiment
STAR's Beam Energy Scan-II data reveal non-monotonic fluctuations, hadronic-to-partonic transitions, and first experimental evidence for a weakly bound p-Omega dibaryon state.
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Non-monotonicity of $p_T$ correlations from meson-baryon mixing
A simplified model reproduces the observed non-monotonic pT correlation minimum via meson-baryon mixing, showing it is not a reliable signal for the QCD critical point.
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Cumulants of mean transverse momentum and elliptic flow in the hydrodynamic model of heavy-ion collisions
Hydrodynamic simulations of heavy-ion collisions demonstrate that cumulants linking mean pT and elliptic flow quantitatively match relations derived from initial-state entropy predictors and moments of harmonic flow.
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The shape of differential radial flow $v_0(p_T)$, not its zero-crossing, carries physical information
The shape of v0(pT), not its zero-crossing, encodes physical information about radial flow because centrality and normalization choices only shift the curve vertically without changing its form.
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Beam-energy dependence of correlations between mean transverse momentum and anisotropic flow of charged particles in Au+Au collisions at RHIC
STAR reports energy-dependent variances and covariances of [p_T] and v_n^2 in Au+Au collisions from 14.6 to 200 GeV, with the dimensionless ratio remaining similar across energies.
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Bayesian inference constraints on jet quenching across centrality, beam energy, and observable classes in LHC heavy-ion collisions
Bayesian posteriors from JETSCAPE jet-quenching model are largely compatible across centrality but exhibit shifts across beam energy and observable class, with varying ability to predict complementary datasets.