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Beam Energy dependence of Light Nuclei Production in Au+Au Collisions

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arxiv 2009.06959 v3 pith:2CIITDPK submitted 2020-09-15 nucl-th hep-phnucl-ex

Beam Energy dependence of Light Nuclei Production in Au+Au Collisions

classification nucl-th hep-phnucl-ex
keywords energymodelanti-collisioncollisionscriticallightnuclei
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We study the collision energy dependence of (anti-)deuteron and (anti-)triton production in the most central Au+Au collisions at $\sqrt{s_\mathrm{NN}}=$ 7.7, 11.5, 19.6, 27, 39, 62.4 and 200 GeV, using the nucleon coalescence model. The needed phase-space distribution of nucleons at the kinetic freeze-out is generated from a new 3D hybrid dynamical model (\texttt{iEBE-MUSIC}) by using a smooth crossover equation of state (EoS) without a QCD critical point. Our model calculations predict that the coalescence parameters of (anti-)deuteron ($B_2(d)$ and $B_2(\bar{d})$) decrease monotonically as the collision energy increases, and the light nuclei yield ratio $N_t N_p/N_d^2$ remains approximately a constant with respect to the collision energy. These calculated observables fail to reproduce the non-monotonic behavior of the corresponding data from the STAR Collaboration. Without including any effects of the critical point in our model, our results serve as the baseline predictions for the yields of light nuclei in the search for the possible QCD critical points from the experimental beam energy scan of heavy ion collisions.

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Cited by 2 Pith papers

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    PHQMD simulations with momentum-dependent potentials show that a soft momentum-dependent EoS calibrated to pA data reproduces experimental proton and cluster flows at midrapidity better than static EoS variants, while...

  2. Study on the equation-of-state with light clusters and hypernuclei

    nucl-th 2025-09 conditional novelty 1.0

    A review of transport-model constraints on the nuclear equation of state from flow of protons, light clusters, and hypernuclei, concluding that soft momentum-dependent potentials fit few-GeV data best.