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

Hanpu Jiang, Nanxi Yao, Cheuk-Yin Wong, Gang Wang, and Huan Zhong Huang
Phys. Rev. C 109, 044903 – Published 4 April 2024

Abstract

We propose an algorithm to detect minijet 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 pT of around 0.5 GeV/c and R of approximately 0.6 satisfactorily identifies minijet 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 minijet-like clusters from nonhard-scattering soft processes when applied to actual nuclear-collision data, thereby allowing a closer examination of both the minijet and the soft mechanisms.

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  • Received 31 January 2024
  • Accepted 8 March 2024

DOI:https://doi.org/10.1103/PhysRevC.109.044903

©2024 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

Hanpu Jiang1,2, Nanxi Yao1,3, Cheuk-Yin Wong4, Gang Wang1, and Huan Zhong Huang1,5

  • 1Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
  • 2Department of Physics, Columbia University in the City of New York, New York, New York 10027, USA
  • 3Department of Physics, University of Illinois at Urbana-Champaign, Champaign, Illinois 61801, USA
  • 4Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
  • 5Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics, Fudan University, Shanghai 200433, China

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Vol. 109, Iss. 4 — April 2024

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