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Bulk medium properties of heavy-ion collisions from the beam energy scan with a multistage hydrodynamic model

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arxiv 2401.00596 v3 pith:U3AKGUGA submitted 2023-12-31 hep-ph hep-exnucl-exnucl-th

classification hep-phhep-exnucl-exnucl-th
keywords energybeamcollisionsdistributionsdynamicshydrodynamicmodelmodels
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abstract

We introduce a method to reconstruct full rapidity distributions of charged particle multiplicity and net proton yields, crucial for constraining the longitudinal dynamics of nuclear matter created in the beam energy scan program. Employing rapidity distributions within a multistage hydrodynamic model calibrated for Au+Au collisions at $\sqrt{s_\mathrm{NN}}=7.7-200\,$GeV, we estimate the total energy and baryon number deposited into the collision fireball, offering insights into initial dynamics and the identification of nuclear remnants. We explore the potential of rapidity-dependent measurements in probing equations of state at finite chemical potentials. Furthermore, we compare the freeze-out parameters derived from both hydrodynamics and thermal models, highlighting that the parameters extracted via thermal models represent averaged properties across rapidities.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Critical net-proton number fluctuations with hydrodynamics

    nucl-th 2026-07 conditional novelty 6.0 of 10

    fRG critical fluctuations on hydrodynamic freeze-out hypersurfaces yield non-monotonic net-proton C4/C2 versus collision energy, absent in the HRG baseline.

  2. Phenomenology of baryon dynamics with directed flow in relativistic heavy-ion collisions

    nucl-th 2025-05 conditional novelty 6.0 of 10

    A two-component initial baryon deposition model plus hydrodynamics reproduces baryon-antibaryon directed flow splitting across sqrt(sNN) = 7.7 to 200 GeV and yields a model-based baryon diffusion coefficient.

  3. Efficient calculation of thermodynamic properties of baryon-rich QCD matter from heavy-ion transport models

    physics.comp-ph 2025-06 conditional novelty 5.0 of 10

    A modular framework speeds up energy-momentum tensor calculations from transport models by clustering particles into representative super-particles while keeping averaged physics accurate.

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