Freeze-out model of light nuclei formation in heavy-ion collision transport

TL;DR

This paper introduces a hybrid model combining dynamical transport and thermal clustering to improve predictions of light nuclei formation in heavy-ion collisions, matching experimental observables.

Contribution

It presents a new approach that integrates dynamical and thermal models for clustering, accurately describing light nuclei yields and flows at freeze-out.

Findings

Model predicts yields at 4 fm impact parameter.

Spectra and elliptic flows at 7.4 fm centrality are calculated.

Results match experimental data for semi-peripheral Au+Au collisions.

Abstract

Cluster production plays an important role in heavy-ion collisions at intermediate beam energies, where light nuclei contribute substantially to final-state yields and to other observables that are used to infer the nuclear equation of state. In this letter, we propose a new approach for clustering that combines dynamical transport and thermal cluster production for mid-rapidity particles. The resulting hybrid coarse-graining model matches nucleon and light-cluster descriptions at freeze-out while properly accounting for thermal non-uniformity and collective transport in the hot, strongly interacting systems created in heavy-ion collisions. To illustrate the capabilities of this model, yields at 4~fm impact parameter, spectra and elliptic flows at 7.4~fm ($20\text{--}30\%$ centrality) are predicted at mid-rapidity for semi-peripheral Au$+$Au collisions at an incident energy of $E_\text{lab}=1.23~A\mathrm{GeV}$.