Back to Search Start Over

Tuning Monte Carlo Models to Reproduce Cosmic Radiation Interacting with the Earth's Atmosphere.

Authors :
Ajaz, Muhammad
Haj Ismail, Abd
Waqas, Muhammad
Shehzadi, Ramoona
Asghar, Ishrat
Younis, Hannan
Mian, Mateen Ullah
AbdelKader, Atef
Adil Khan, Muhammad
Safeen, Kashif
Source :
Atmosphere; Jun2023, Vol. 14 Issue 6, p1028, 12p
Publication Year :
2023

Abstract

In this work, we performed a comparative study between HIJING, Sibyll, and QGSJET model-based event generators. Such Monte Carlo (MC) models are used to simulate the interaction and propagation of high-energy cosmic radiation (e.g., coming from the sun) with the Earth's atmosphere. The global event observables selected for the study were the transverse momentum ( p T ) spectra and rapidity density distributions of strange particles ( K S 0 , Λ , and Ξ − ). This study was performed in the STAR and CMS fiducial phase spaces by simulating the strange particles in p p collisions at s = 200 GeV, 900 GeV, and 7 TeV, and the simulations were then compared to the experimental measurements. It was observed that none of the discussed model-based event generators ultimately predicted the experimental results, except QGSJET, which generally agrees reasonably with the data. However, QGSJET does not produce Ξ particles; therefore, it does not provide any predictions for Ξ. The other two models reproduced the data only in a limited rapidity or transverse momentum region while mainly underpredicting the data in the rest of the areas. These cosmic radiation simulation models are capable of covering the mid-rapidity regions of density distributions. Utilizing model-based observations, some fundamental parameters can be re-tuned and extrapolations to the highest energies can be investigated. Furthermore, these observations can provide valuable insights that could potentially constrain and improve perturbative- and non-perturbative-based QCD event generators, thereby facilitating a better understanding of the underlying physics. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734433
Volume :
14
Issue :
6
Database :
Complementary Index
Journal :
Atmosphere
Publication Type :
Academic Journal
Accession number :
164581043
Full Text :
https://doi.org/10.3390/atmos14061028