2022
DOI: 10.3390/particles5010004
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Pre-Equilibrium Clustering in Production of Spectator Fragments in Collisions of Relativistic Nuclei

Abstract: An algorithm of pre-equilibrium clustering of spectator matter based on the construction of the minimum spanning tree (MST) is presented. The algorithm was implemented in the Abrasion-Ablation Monte Carlo for Colliders (AAMCC) model designed to study the characteristics of spectator matter in collisions of relativistic nuclei. Due to accounting for the pre-equilibrium clusters in modelling 208Pb–208Pb collisions at the LHC, the agreement of simulation results with experimental data on the average multiplicitie… Show more

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Cited by 7 publications
(7 citation statements)
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“…The apparent differences between the experimental data and our predictions in the UCC region at higher collision energies could point to possible background particles from the interaction region that reach ZDC acceptance. A recent calculation by the Abrasion-Ablation Monte Carlo model for colliders [72] also significantly underpredicts the ZDC data for neutrons from the ALICE Collaboration [73], suggesting background contributions in the UCC region. We estimate the possible background contribution using the widely used AMPT model [74].…”
Section: Spectator Particle Yieldmentioning
confidence: 99%
“…The apparent differences between the experimental data and our predictions in the UCC region at higher collision energies could point to possible background particles from the interaction region that reach ZDC acceptance. A recent calculation by the Abrasion-Ablation Monte Carlo model for colliders [72] also significantly underpredicts the ZDC data for neutrons from the ALICE Collaboration [73], suggesting background contributions in the UCC region. We estimate the possible background contribution using the widely used AMPT model [74].…”
Section: Spectator Particle Yieldmentioning
confidence: 99%
“…In order to resolve this issue, a hybrid parameterization of the prefragment excitation energy was introduced in AAMCC-MST in Ref. [29] to improve the description of ALICE data [38]. In peripheral events for prefragments with α > α sw the excitation energy is calculated on the basis of Ericson formula, while for events with low relative mass of prefragments α < α sw their excitation energy is calculated according to the ALADIN parameterization.…”
Section: Calculation Of Prefragment Excitation Energymentioning
confidence: 99%
“…Our suggestion to study ultracentral collisions of 208 Pb-208 Pb at the CERN SPS and LHC complements proposals [21][22][23], which considered peripheral collisions of these nuclei at the LHC to study NS. Previous studies of 208 Pb-208 Pb collisions at both facilities [2,4] [29]. Each collision event is modelled with AAMCC-MST in several stages.…”
Section: Introductionmentioning
confidence: 99%
“…It is important to find out whether the tetrahedral geometry of α-clustered states in 16 O [4,5] is consistent with enhanced production of 4 He as spectators. The first comparison of the measurements [13] with results of an early version of our Abrasion-Ablation Monte Carlo for Colliders model with the Minimum Spanning Tree clusterization algorithm (AAMCC-MST), which took into account the pre-equilibrium clusterization of spectator matter [14], but neglected the α-clustering in initial 16 O, was presented in Ref. [15].…”
Section: Introductionmentioning
confidence: 99%
“…In the present paper, a new version of the AAMCC-MST model is used to simulate 16 O- 16 O collisions at the LHC. As described in Section 2, the model takes into account the admixture of α-clustered states and SRC in 16 O [16] and also pre-equilibrium clusterization of spectator matter [14,19]. Multiplicity distributions of spectator neutrons and deuterons as well as yields of secondary nuclei calculated for 16 O- 16 O collisions at the nucleon-nucleon center-of-mass energy, √ s NN = 6.37 TeV are presented in Section 3.…”
Section: Introductionmentioning
confidence: 99%