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Universal Dense-Matter Trace Anomaly Inferred from Collective Flow in Heavy-Ion Collisions and Global Properties of Neutron Stars

Bao-An Li

Abstract

The trace anomaly of dense matter, $Δ\equiv 1/3 - P/\varepsilon$, defined in terms of the ratio of pressure $P$ to energy density $\varepsilon$, quantifies deviations from conformal symmetry and plays a central role in both the hydrodynamic response and gravitational equilibrium. While $Δ(\varepsilon)$ has recently been inferred from neutron star observations, we report the first Bayesian extraction of the trace anomaly from collective flow observables in intermediate-energy heavy-ion collisions. By employing transport-model simulations that explicitly decouple the cold-matter mean-field potential from thermal effects, we directly constrain the cold dense-matter equation of state (EOS). Remarkably, the trace anomaly inferred from laboratory flow data agrees quantitatively, within $68\%$ credible intervals, with independent astrophysical posterior bands. This nontrivial agreement demonstrates that heavy-ion collisions and neutron star observations probe the same universal macroscopic properties of dense matter, establishing the trace anomaly as a composition-insensitive descriptor of dense matter across widely different physical environments.

Universal Dense-Matter Trace Anomaly Inferred from Collective Flow in Heavy-Ion Collisions and Global Properties of Neutron Stars

Abstract

The trace anomaly of dense matter, , defined in terms of the ratio of pressure to energy density , quantifies deviations from conformal symmetry and plays a central role in both the hydrodynamic response and gravitational equilibrium. While has recently been inferred from neutron star observations, we report the first Bayesian extraction of the trace anomaly from collective flow observables in intermediate-energy heavy-ion collisions. By employing transport-model simulations that explicitly decouple the cold-matter mean-field potential from thermal effects, we directly constrain the cold dense-matter equation of state (EOS). Remarkably, the trace anomaly inferred from laboratory flow data agrees quantitatively, within credible intervals, with independent astrophysical posterior bands. This nontrivial agreement demonstrates that heavy-ion collisions and neutron star observations probe the same universal macroscopic properties of dense matter, establishing the trace anomaly as a composition-insensitive descriptor of dense matter across widely different physical environments.
Paper Structure (8 equations, 4 figures, 1 table)

This paper contains 8 equations, 4 figures, 1 table.

Figures (4)

  • Figure 1: Trace anomaly $\Delta(\varepsilon)$ as a function of reduced energy density. Values are shown as inferred from Bayesian analyses of neutron star observational data by (1) Gorda et al.Gorda23, (2) Al-Mamun et al.Mam2021, and (3) Fujimoto et al.Fuji22. Also plotted are the central $\Delta(\varepsilon)$ values CL25-b for the binary neutron stars GW170817 LIGO, PSR J0030+0451 Miller19Riley19, and PSR J0740+6620 Salmi22. These astrophysical constraints are compared with Bayesian-inferred $\Delta(\varepsilon)$ values (green squares) obtained from proton collective flow data measured by the FOPI and HADES Collaborations at GSI FOPIHa2. For historical context, we also include $\Delta(\varepsilon)$ values obtained by converting the continuous pressure bands previously extracted through forward-modeling of kaon production Fuchs05lynch09 and collective flow at BEVALAC and AGS energies Pawel02. The pQCD and GR limits, as well as $\Delta(\rho_0)=1/3$ are indicated by the horizontal lines.
  • Figure 2: The averaged speed of sound squared $<c^2_s(\rho)>=P/\varepsilon=\phi$ as a function of reduced baryon density with a Skyrme-like EOS with varying incompressibility parameter $K$ (upper panel) and nuclear symmetry energy (lower panel), respectively.
  • Figure 3: Time evolution of central baryon density in mid-central Au+Au reactions with beam energies from 150 to 1200 MeV/nucleon with parameters listed in Table \ref{['mean']}.
  • Figure 4: Speed of sound squared derived from the trace anomaly shown in Fig. \ref{['DT1']} using Eq.\ref{['ss_decom']} in comparison with the best-fit curve inferred from neutron star observations using machine learning techniques Fuji22.