On the clustering properties of produced particles in high-energy $pp$ collisions
| Autor: | H. Z. Huang, Nanxi Yao, Hanpu Jiang, Gang Wang, Cheuk-Yin Wong, Liwen Wen |
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| Rok vydání: | 2018 |
| Předmět: |
Physics
Particle physics Nuclear Theory 010308 nuclear & particles physics Hadron FOS: Physical sciences Parton Collision Space (mathematics) 01 natural sciences High Energy Physics - Experiment Determining the number of clusters in a data set Azimuth Nuclear Theory (nucl-th) High Energy Physics - Phenomenology High Energy Physics - Experiment (hep-ex) High Energy Physics - Phenomenology (hep-ph) Pseudorapidity 0103 physical sciences High Energy Physics::Experiment Nuclear Experiment (nucl-ex) 010306 general physics Cluster analysis Nuclear Experiment |
| Zdroj: | Physical Review |
| DOI: | 10.48550/arxiv.1801.00759 |
| Popis: | Minijets provide useful information on parton interactions in the low transverse-momentum (low-$p_T$) region. Because minijets produce clusters, we study the clustering properties of produced particles in high-energy $pp$ collisions as a first step to identify minijets. We develop an algorithm to find clusters by using the k-means clustering method, in conjunction with a k-number (cluster number) selection principle in the space of pseudorapidity and azimuthal angles. We test the clustering algorithm using events generated by PYTHIA 8.1, for $pp$ collision at $\sqrt{s}=200$ GeV. We find that clustering of low-$p_T$ hadrons occurs in high multiplicity events. However similar clustering properties are also present for particles produced randomly in a finite pseudorapidity and azimuthal angle space. To distinguish the dynamics from random generations of events, it is necessary to examine the correlation between particles and between clusters. We find that the correlations between clusters may provide a useful tool to distinguish the underlying dynamics of the reaction mechanism. Comment: 22 pages, 21 figures |
| Databáze: | OpenAIRE |
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