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DOE OSTI · 3004986

Minijet clustering algorithm using transverse-momentum seeds in high-energy nuclear collisions

Jiang, Hanpu·Yao, Nanxi·Wong, Cheuk-Yin·Wang, Gang·Huang, Huan Zhong
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Abstract

We propose an algorithm to detect mini-jet clusters in high-energy nuclear collisions, by selecting a high-transverse-momentum (pT) particle as a seed and assigning a clustering radius (R) in the pseudorapidity and azimuthal-angle space. Our PYTHIA simulations for p+p collisions show that a scheme with a seeding p T of around 0.5 GeV/c and R of approximately 0.6 satisfactorily identifies mini-jet clusters. The correlation between clusters obtained in PYTHIA calculations using the algorithm exhibits the proper behavior of hard-scattering-like processes, suggesting its usefulness in isolating mini-jet-like clusters from non-hard-scattering soft processes when applied to actual nuclear-collision data, thereby allowing a closer examination of both the mini-jet and the soft mechanisms.

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73 NUCLEAR PHYSICS AND RADIATION PHYSICSHard scatteringParticle & resonance productionParticle correlations & fluctuationsQCD in nuclear reactionsQuark & gluon jetsRelativistic heavy-ion collisionsStrong interaction

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Jiang, Hanpu, Yao, Nanxi, Wong, Cheuk-Yin, Wang, Gang, Huang, Huan Zhong. 2024-04-04. Minijet clustering algorithm using transverse-momentum seeds in high-energy nuclear collisions. https://doi.org/10.1103/physrevc.109.044903

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