Abstract
We propose an algorithm to detect minijet clusters in high-energy nuclear collisions, by selecting a high-transverse-momentum () particle as a seed and assigning a clustering radius () in the pseudorapidity and azimuthal-angle space. Our pythia simulations for collisions show that a scheme with a seeding of around 0.5 GeV/ and 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.
6 More- Received 31 January 2024
- Accepted 8 March 2024
DOI:https://doi.org/10.1103/PhysRevC.109.044903
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