Mini-jet Clustering Algorithm Using Transverse-momentum Seeds in High-energy Nuclear Collisions
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866913309767237632 |
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| author | Jiang, Hanpu Yao, Nanxi Wong, Cheuk-Yin Wang, Gang Huang, Huan Zhong |
| author_facet | Jiang, Hanpu Yao, Nanxi Wong, Cheuk-Yin Wang, Gang Huang, Huan Zhong |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2401_06895 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Mini-jet Clustering Algorithm Using Transverse-momentum Seeds in High-energy Nuclear Collisions Jiang, Hanpu Yao, Nanxi Wong, Cheuk-Yin Wang, Gang Huang, Huan Zhong Data Analysis, Statistics and Probability Nuclear Experiment Nuclear Theory 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. |
| title | Mini-jet Clustering Algorithm Using Transverse-momentum Seeds in High-energy Nuclear Collisions |
| topic | Data Analysis, Statistics and Probability Nuclear Experiment Nuclear Theory |
| url | https://arxiv.org/abs/2401.06895 |