Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)
Series Vol. 5 , 25 May 2023
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Tracklet Method Analysis on Particle Production Based on Centrality Dependence
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Abstract
This paper presents an analysis on a parametrization of ALICE open data on the Pb-Pb collisions at √sNN = 2.76TeV created by the Large Hadron Collider (LHC). We will use the tracklet method to calculate the differences in pseudorapidity values (∆η), generate ∆η distributions for different centrality ranges, and investigate the centrality dependence of the number of particles produced. This document presents findings of a negative correlation between centrality classes and the number of particles produced.
Keywords
Large Hadron Collider, ALICE, tracklet method, centrality dependence, Pb-Pb collisions.
References
1. C. Gerschel. Nuclear Matter in Different Phases and Transitions. 1999.
2. ALICE Collaboration. Centrality dependence of the charged-particle multiplicity density at mid-rapidity in Pb–Pb collisions at √sNN = 2.76T eV . Sept. 2017.
3. N. Armesto. Predictions for the Heavy-ion Programme at the Large Hadron Collider. 2009.
4. V. Chiochia. Accelerators and Particle Detectors. 2010.
5. Yen-Jie Lee. Measurement of the Charged-Hadron Multiplicity in Proton- Proton Collisions at LHC with the CMS Detector. Oct. 2011.
6. V. Khachatryan. Pseudorapidity Distribution of Charged Hadrons in Proton-Proton Collisions at √S= 13TeV. 2015.
7. CMS Collaboration. Commissioning and Performance of the CMS Pixel Tracker with Cosmic Ray Muons. 2019.
8. K. Aamodt. Charged-particle multiplicity measurement in proton–proton collisions at s=0.9 and 2.36 TeV with ALICE at LHC. 2010. doi: https://doi.org/10.1140/epjc/s10052-010-1339-x.
9. M. L. Miller/K. Reygers/ S. J. Sanders/ P. Steinberg. Glauber Mod- eling in High Energy Nuclear Collisions. 2007.
10. E. Daw. Rapidity and Pseudorapidity. Mar. 2012.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)
- ISBN (Print)
- 978-1-915371-53-9
- ISBN (Online)
- 978-1-915371-54-6
- Published Date
- 25 May 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/5/20230319
- Copyright
- © 2023 The Author(s)
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited