A search for leptonic photon Z_l at all three CLIC energy stages by using artificial neural networks (ANN)

Fuente: arXiv
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Main Authors: Kara, S. O., Akkoyun, S.
Format: Preprint
Published: 2024
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author Kara, S. O.
Akkoyun, S.
author_facet Kara, S. O.
Akkoyun, S.
contents In this work, the possible dynamics of the massive leptonic photon \(Z_{l}\) are reconsidered via the process \(e^{+}e^{-} \ rightarrow μ^{+}μ^{-}\) at Compact Linear Collider (CLIC) with updated center of mass energies (\(380\ GeV,\ 1500\ GeV\ and\ 3000\ GeV\)). We show that the new generation colliders as CLIC can observe massive leptophilic vector boson Z_l with mass up to the center of mass energy, provided that leptonic coupling constant is \(g_{l} \geq 10^{- 3}\). In this study, we also estimated the cross-sections by artificial neural networks using the theoretical results we obtained for CLIC. According to the results obtained, it was seen that these predictions could be made through machine learning.
format Preprint
id arxiv_https___arxiv_org_abs_2406_10097
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A search for leptonic photon Z_l at all three CLIC energy stages by using artificial neural networks (ANN)
Kara, S. O.
Akkoyun, S.
High Energy Physics - Phenomenology
In this work, the possible dynamics of the massive leptonic photon \(Z_{l}\) are reconsidered via the process \(e^{+}e^{-} \ rightarrow μ^{+}μ^{-}\) at Compact Linear Collider (CLIC) with updated center of mass energies (\(380\ GeV,\ 1500\ GeV\ and\ 3000\ GeV\)). We show that the new generation colliders as CLIC can observe massive leptophilic vector boson Z_l with mass up to the center of mass energy, provided that leptonic coupling constant is \(g_{l} \geq 10^{- 3}\). In this study, we also estimated the cross-sections by artificial neural networks using the theoretical results we obtained for CLIC. According to the results obtained, it was seen that these predictions could be made through machine learning.
title A search for leptonic photon Z_l at all three CLIC energy stages by using artificial neural networks (ANN)
topic High Energy Physics - Phenomenology
url https://arxiv.org/abs/2406.10097