Particle ratios with in Hadron Resonance Gas (HRG) and Artificial Neural Network (ANN) models

2022/01/12 by R. M. Abdel Rahman, Mahmoud Y. El-Bakry, Rahman, R. M. Abdel +7
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #High-Energy Particle Collisions Research #Particle physics theoretical and experimental studies

paper · pdf · doi:10.48550/arxiv.2201.04444

openalex publication_date 2022/01/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Comparison between various particle ratios such as K^-/K⁺, π^-/π⁺, p/p, Λ/Λ, Σ/Σ, Ω/Ω, K⁺/π⁺, K^-/π^-, p/π^-, p/π^-, Λ/π^-, and Ω/π^- calculated using the HRG model with the results estimated from simulation and training of the ANN model in the presence of different experiments measurements such as AGS, SPS, RHIC and LHC energies is done. The success of ANN simulation model to describe the results from both phonological (HRG) model and experimental data will encourage to use it in various predictions for other particle ratios in regions where is no experiments.

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