Trace Anomaly of Cold Dense Matter Constrained by Collective Flow

TL;DR

This paper presents the first Bayesian extraction of the trace anomaly of cold dense matter from heavy-ion collision data, showing consistency with neutron star observations and establishing it as a universal macroscopic property.

Contribution

It introduces a novel Bayesian method to determine the trace anomaly from laboratory data, linking heavy-ion collisions with astrophysical observations.

Findings

Trace anomaly from flow data agrees with astrophysical posterior bands within 68% credible intervals.

Heavy-ion collisions and neutron star observations probe the same macroscopic properties of dense matter.

The trace anomaly acts as a composition-insensitive observable bridging different physical environments.

Abstract

The trace anomaly of dense matter, $\Delta \equiv 1/3 - P/\varepsilon$, defined through the ratio $w \equiv P/\varepsilon$ of pressure $P$ to energy density $\varepsilon$, quantifies deviations from conformal symmetry and provides a dimensionless measure of the stiffness of the equation of state (EOS) relevant for both neutron stars and heavy-ion collisions. While $\Delta(\varepsilon)$ 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 EOS of cold dense matter. 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 macroscopic properties in a mutually consistent way, establishing the dense-matter trace anomaly as a composition-insensitive macroscopic bridge observable across widely different physical environments.