Mini-jet Clustering Algorithm Using Transverse-momentum Seeds in High-energy Nuclear Collisions
arxiv(2024)
摘要
We propose an algorithm to detect mini-jet clusters in high-energy nuclear
collisions, by selecting a high-transverse-momentum (p_T) 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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