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Cluster dynamics studied with the phase-space Minimum Spanning Tree approach

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arxiv 2103.10542 v1 pith:4RXP7OY2 submitted 2021-03-18 nucl-th hep-exhep-thnucl-ex

Cluster dynamics studied with the phase-space Minimum Spanning Tree approach

classification nucl-th hep-exhep-thnucl-ex
keywords clusterdynamicsminimumspanningtreeboundclusterscollisions
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The origin of weakly bound objects like clusters and hypernuclei, observed in heavy-ion collisions, is of theoretical and experimental interest. It is in the focus of the experiments at RHIC and LHC since it is not evident how such weakly bound objects can survive in an environment whose hadronic decay products point to a temperature of the order of 150 MeV. It is as well one of the key research topics in the future facilities of FAIR and NICA which are under construction in Darmstadt (Germany) and Dubna (Russia), respectively. We present here first results on the cluster dynamics within the model-independent cluster recognition library "phase-space Minimum Spanning Tree" (psMST) applied to different transport approaches: PHQMD, PHSD, SMASH and UrQMD. The psMST is based on the "Minimum Spanning Tree" (MST) algorithm for the cluster recognition which exploits correlations in coordinate space, and it is extended to correlations of baryons in the clusters in momentum space. We show the sensitivity of the cluster formation on the microscopic realization of the n-body dynamics and on the potential interactions in heavy-ion collisions.

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Cited by 2 Pith papers

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  1. Effects of light-cluster degrees of freedom on collective flows in heavy-ion collisions at FOPI energies

    nucl-th 2026-08 conditional novelty 6.0

    Explicitly propagating light clusters in a Boltzmann-Uehling-Uhlenbeck transport model substantially modifies predicted proton v1-v4 flows at low FOPI energies (120-400 A MeV) but not above 600 A MeV.

  2. Modifications in clusterization procedures for heavy-ion collisions: minimum spanning tree, simulated annealing, coalescence

    nucl-th 2025-12 conditional novelty 6.0

    The Common Clusterization Library (CCL) provides open-source MST, simulated-annealing, and coalescence cluster finders with a new stable-cluster tracking algorithm, tested against ALADiN and NA49 data.