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

R. M. Abdel Rahman; Mahmoud Y. El-Bakry; D. M. Habashy; Abdel Nasser Tawfik; Mahmoud Hanafy

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arXiv · 2201.04444

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

R. M. Abdel Rahman·Mahmoud Y. El-Bakry·D. M. Habashy·Abdel Nasser Tawfik·Mahmoud Hanafy

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Abstract

Comparison between various particle ratios such as $K^-/K^+$, $\pi^-/\pi^+$, $\bar{p}/p$, $\bar{\Lambda}/\Lambda$, $\bar{\Sigma}/\Sigma$, $ \bar{\Omega}/\Omega$, $K^+/\pi^+$, $K^-/\pi^-$, $\bar{p}/\pi^-$, $p/\pi^-$, $\Lambda/\pi^-$, and $\Omega/\pi^-$ 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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R. M. Abdel Rahman, Mahmoud Y. El-Bakry, D. M. Habashy, Abdel Nasser Tawfik, Mahmoud Hanafy. 2022-01-12. Particle ratios with in Hadron Resonance Gas (HRG) and Artificial Neural Network (ANN) models. https://arxiv.org/abs/2201.04444

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