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A Fast Hadron Freeze-out Generator

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arxiv nucl-th/0608057 v4 pith:TI2VOFE6 submitted 2006-08-25 nucl-th hep-ph

classification nucl-thhep-ph
keywords freeze-outhadronchemicalhypersurfacefastgeneratorsectorsstandard
verification ladder T0 review T1 audit T2 compute T3 formal
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We have developed a fast Monte Carlo procedure of hadron generation allowing one to study and analyze various observables for stable hadrons and hadron resonances produced in ultra-relativistic heavy ion collisions. Particle multiplicities are determined based on the concept of chemical freeze-out. Particles can be generated on the chemical or thermal freeze-out hypersurface represented by a parameterization or a numerical solution of relativistic hydrodynamics with given initial conditions and equation of state. Besides standard space-like sectors associated with the volume decay, the hypersurface may also include non-space-like sectors related to the emission from the surface of expanding system. For comparison with other models and experimental data we demonstrate the results based on the standard parameterizations of the hadron freeze-out hypersurface and flow velocity profile under the assumption of a common chemical and thermal freeze-out. The C++ generator code is written under the ROOT framework and is available for public use at http://uhkm.jinr.ru/.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 86 citations worldwide. Full citation record

  1. Physics-informed neural network (PINN) modeling of charged particle multiplicity using the two-component framework in heavy-ion collisions: A comparison with data-driven neural networks

    hep-ph 2025-11 unverdicted novelty 4.0 of 10

    A PINN constrained by the two-component multiplicity model learns the hard-scattering fraction from Zr+Zr events and predicts N_ch more accurately than a data-driven NN on unseen Ru+Ru and Au+Au collisions.

  2. Two-particle cumulant distribution: a simulation study of higher moments

    hep-ph 2025-07 unverdicted novelty 4.0 of 10

    Simulations show non-flow two-particle cumulant distributions have high skewness and kurtosis while true elliptic flow distributions are closer to Gaussian with lower values.

  3. Study of anisotropic flow of heavy hadrons in Au + Au collisions at $\sqrt{s_{NN}} =$ 200 GeV using HYDJET++ framework

    hep-ph 2025-06 conditional novelty 4.0 of 10

    A centrality-tuned HYDJET++ simulation matches STAR charm-hadron elliptic and triangular flow up to pT around 4 GeV/c and predicts v2-v4 for D± and Lambda_c.

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