Transverse Momentum and Pseudorapidity Dependence of Particle Production in Xe–Xe Collision at sNN=5.44 TeV

Joint Authors

Dong, Hong-Wei
Guo, Zhang-Li
Li, Bao-Chun

Source

Advances in High Energy Physics

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-02-01

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Physics

Abstract EN

Through the collision-system configuration, the Tsallis statistics is combined with a multisource thermal model.

The improved model is used to investigate the transverse momentum and pseudorapidity of particles produced in Xe–Xe collisions at sNN=5.44 TeV.

We discuss detailedly the thermodynamic properties, which are taken from the transverse momentum pT distributions of π, K, and p for different centralities.

The pseudorapidity η spectra of charged particles for different centralities are described consistently in the model.

And, the model result can estimate intuitively the longitudinal configuration of the collision system.

American Psychological Association (APA)

Guo, Zhang-Li& Li, Bao-Chun& Dong, Hong-Wei. 2020. Transverse Momentum and Pseudorapidity Dependence of Particle Production in Xe–Xe Collision at sNN=5.44 TeV. Advances in High Energy Physics،Vol. 2020, no. 2020, pp.1-5.
https://search.emarefa.net/detail/BIM-1126693

Modern Language Association (MLA)

Guo, Zhang-Li…[et al.]. Transverse Momentum and Pseudorapidity Dependence of Particle Production in Xe–Xe Collision at sNN=5.44 TeV. Advances in High Energy Physics No. 2020 (2020), pp.1-5.
https://search.emarefa.net/detail/BIM-1126693

American Medical Association (AMA)

Guo, Zhang-Li& Li, Bao-Chun& Dong, Hong-Wei. Transverse Momentum and Pseudorapidity Dependence of Particle Production in Xe–Xe Collision at sNN=5.44 TeV. Advances in High Energy Physics. 2020. Vol. 2020, no. 2020, pp.1-5.
https://search.emarefa.net/detail/BIM-1126693

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1126693