Particle ratios with in Hadron Resonance Gas (HRG) and Artificial Neural Network (ANN) models
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...
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| creator | Rahman, R. M. Abdel El-Bakry, Mahmoud Y Habashy, D. M Tawfik, Abdel Nasser Hanafy, Mahmoud |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.2201.04444 |
| format | Article |
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$\bar{p}/p$, $\bar{\Lambda}/\Lambda$, $\bar{\Sigma}/\Sigma$, $
\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.</description><identifier>DOI: 10.48550/arxiv.2201.04444</identifier><language>eng</language><subject>Physics - High Energy Physics - Phenomenology</subject><creationdate>2022-01</creationdate><rights>http://creativecommons.org/licenses/by-nc-nd/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2201.04444$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2201.04444$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Rahman, R. M. Abdel</creatorcontrib><creatorcontrib>El-Bakry, Mahmoud Y</creatorcontrib><creatorcontrib>Habashy, D. M</creatorcontrib><creatorcontrib>Tawfik, Abdel Nasser</creatorcontrib><creatorcontrib>Hanafy, Mahmoud</creatorcontrib><title>Particle ratios with in Hadron Resonance Gas (HRG) and Artificial Neural Network (ANN) models</title><description>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
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$\bar{p}/p$, $\bar{\Lambda}/\Lambda$, $\bar{\Sigma}/\Sigma$, $
\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.</abstract><doi>10.48550/arxiv.2201.04444</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Physics - High Energy Physics - Phenomenology |
| title | Particle ratios with in Hadron Resonance Gas (HRG) and Artificial Neural Network (ANN) models |
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