Using Artificial Neural Networks to Search for the Production of the Higgs Boson Together with a Single Top Quark
The possibility of using artificial neural networks to search for a rare process at the Large Hadron Collider is considered. An evolutionary algorithm that makes it possible to construct a neural network with an optimal set of parameters has been developed. Using Monte Carlo simulation, the signific...
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| Published in: | Physics of particles and nuclei letters Vol. 21; no. 3; pp. 481 - 488 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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Pleiades Publishing
2024
Springer Nature B.V |
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| Abstract | The possibility of using artificial neural networks to search for a rare
process at the Large Hadron Collider is considered. An evolutionary algorithm that makes it possible to construct a neural network with an optimal set of parameters has been developed. Using Monte Carlo simulation, the significance of signal separation from the background is assessed. The use of neural networks significantly increases the signal significance and makes it possible to detect the
process based on the data from completed sessions of the Large Hadron Collider. |
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| AbstractList | The possibility of using artificial neural networks to search for a rare process at the Large Hadron Collider is considered. An evolutionary algorithm that makes it possible to construct a neural network with an optimal set of parameters has been developed. Using Monte Carlo simulation, the significance of signal separation from the background is assessed. The use of neural networks significantly increases the signal significance and makes it possible to detect the process based on the data from completed sessions of the Large Hadron Collider. The possibility of using artificial neural networks to search for a rare process at the Large Hadron Collider is considered. An evolutionary algorithm that makes it possible to construct a neural network with an optimal set of parameters has been developed. Using Monte Carlo simulation, the significance of signal separation from the background is assessed. The use of neural networks significantly increases the signal significance and makes it possible to detect the process based on the data from completed sessions of the Large Hadron Collider. |
| Author | Boiko, I. R. Dolovova, O. A. Guseinov, N. A. Eletskikh, I. V. Didenko, A. R. Tropina, A. D. |
| Author_xml | – sequence: 1 givenname: I. R. surname: Boiko fullname: Boiko, I. R. email: boyko@jinr.ru organization: Joint Institute for Nuclear Reseach – sequence: 2 givenname: N. A. surname: Guseinov fullname: Guseinov, N. A. email: nguseynov@jinr.ru organization: Joint Institute for Nuclear Reseach – sequence: 3 givenname: I. V. surname: Eletskikh fullname: Eletskikh, I. V. email: ivaneleckih@jinr.ru organization: Joint Institute for Nuclear Reseach – sequence: 4 givenname: A. R. surname: Didenko fullname: Didenko, A. R. email: alisadidenko@jinr.ru organization: Joint Institute for Nuclear Reseach, Moscow State University – sequence: 5 givenname: O. A. surname: Dolovova fullname: Dolovova, O. A. email: kovoa@jinr.ru organization: Joint Institute for Nuclear Reseach – sequence: 6 givenname: A. D. surname: Tropina fullname: Tropina, A. D. email: atropina@jinr.ru organization: Joint Institute for Nuclear Reseach, Moscow Institute of Physics and Technology |
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| Cites_doi | 10.1088/1748-0221/11/04/P04008 10.1134/S1063778822020041 |
| ContentType | Journal Article |
| Copyright | Pleiades Publishing, Ltd. 2024. ISSN 1547-4771, Physics of Particles and Nuclei Letters, 2024, Vol. 21, No. 3, pp. 481–488. © Pleiades Publishing, Ltd., 2024. Russian Text © The Author(s), 2024, published in Pis’ma v Zhurnal Fizika Elementarnykh Chastits i Atomnogo Yadra, 2024. |
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| DOI | 10.1134/S1547477124700468 |
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| References | CR11 Tamilselvi (CR12) 2022 CR10 Collab (CR2) 2016; 11 CR4 CR6 CR5 CR8 CR7 (CR9) 2016 Boyko, Huseynov, Koval (CR1) 2022; 85 Collab (CR3) 2018; 13 |
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| Snippet | The possibility of using artificial neural networks to search for a rare
process at the Large Hadron Collider is considered. An evolutionary algorithm that... The possibility of using artificial neural networks to search for a rare process at the Large Hadron Collider is considered. An evolutionary algorithm that... |
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| SubjectTerms | Artificial neural networks Evolutionary algorithms Higgs bosons Large Hadron Collider Monte Carlo simulation Particle and Nuclear Physics Physics Physics and Astronomy Physics of Elementary Particles and Atomic Nuclei. Experiment |
| Title | Using Artificial Neural Networks to Search for the Production of the Higgs Boson Together with a Single Top Quark |
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