Invariant mass reconstruction of heavy gauge bosons decaying to $$\tau $$ τ leptons using machine learning techniques
Abstract Many analyses are performed by the LHC experiments to search for heavy gauge bosons, which appear in several new physics models. The invariant mass reconstruction of heavy gauge bosons is difficult when they decay to $$\tau $$ τ leptons due to missing neutrinos in the final state. Machine l...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-03-01
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| Series: | European Physical Journal C: Particles and Fields |
| Online Access: | https://doi.org/10.1140/epjc/s10052-024-12527-w |
| _version_ | 1797273479740915712 |
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| author | M. B. Vinaya Krishnan Aruna Kumar Nayak Asrith Krishna Radhakrishnan |
| author_facet | M. B. Vinaya Krishnan Aruna Kumar Nayak Asrith Krishna Radhakrishnan |
| author_sort | M. B. Vinaya Krishnan |
| collection | DOAJ |
| description | Abstract Many analyses are performed by the LHC experiments to search for heavy gauge bosons, which appear in several new physics models. The invariant mass reconstruction of heavy gauge bosons is difficult when they decay to $$\tau $$ τ leptons due to missing neutrinos in the final state. Machine learning techniques are widely utilized in experimental high-energy physics, in particular in analyzing the large amount of data produced at the LHC. In this paper, we study various machine learning techniques to reconstruct the invariant mass of $$Z^{\prime }~\rightarrow ~\tau \tau $$ Z ′ → τ τ and $$W^{\prime }~\rightarrow ~\tau \nu $$ W ′ → τ ν decays, which can improve the sensitivity of these searches. |
| first_indexed | 2024-03-07T14:44:56Z |
| format | Article |
| id | doaj.art-a46928cdb32e47db8eadfe711b0db71a |
| institution | Directory Open Access Journal |
| issn | 1434-6052 |
| language | English |
| last_indexed | 2024-03-07T14:44:56Z |
| publishDate | 2024-03-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | European Physical Journal C: Particles and Fields |
| spelling | doaj.art-a46928cdb32e47db8eadfe711b0db71a2024-03-05T20:03:23ZengSpringerOpenEuropean Physical Journal C: Particles and Fields1434-60522024-03-018431810.1140/epjc/s10052-024-12527-wInvariant mass reconstruction of heavy gauge bosons decaying to $$\tau $$ τ leptons using machine learning techniquesM. B. Vinaya Krishnan0Aruna Kumar Nayak1Asrith Krishna Radhakrishnan2Institute of PhysicsInstitute of PhysicsIndian Institute of Science Education and ResearchAbstract Many analyses are performed by the LHC experiments to search for heavy gauge bosons, which appear in several new physics models. The invariant mass reconstruction of heavy gauge bosons is difficult when they decay to $$\tau $$ τ leptons due to missing neutrinos in the final state. Machine learning techniques are widely utilized in experimental high-energy physics, in particular in analyzing the large amount of data produced at the LHC. In this paper, we study various machine learning techniques to reconstruct the invariant mass of $$Z^{\prime }~\rightarrow ~\tau \tau $$ Z ′ → τ τ and $$W^{\prime }~\rightarrow ~\tau \nu $$ W ′ → τ ν decays, which can improve the sensitivity of these searches.https://doi.org/10.1140/epjc/s10052-024-12527-w |
| spellingShingle | M. B. Vinaya Krishnan Aruna Kumar Nayak Asrith Krishna Radhakrishnan Invariant mass reconstruction of heavy gauge bosons decaying to $$\tau $$ τ leptons using machine learning techniques European Physical Journal C: Particles and Fields |
| title | Invariant mass reconstruction of heavy gauge bosons decaying to $$\tau $$ τ leptons using machine learning techniques |
| title_full | Invariant mass reconstruction of heavy gauge bosons decaying to $$\tau $$ τ leptons using machine learning techniques |
| title_fullStr | Invariant mass reconstruction of heavy gauge bosons decaying to $$\tau $$ τ leptons using machine learning techniques |
| title_full_unstemmed | Invariant mass reconstruction of heavy gauge bosons decaying to $$\tau $$ τ leptons using machine learning techniques |
| title_short | Invariant mass reconstruction of heavy gauge bosons decaying to $$\tau $$ τ leptons using machine learning techniques |
| title_sort | invariant mass reconstruction of heavy gauge bosons decaying to tau τ leptons using machine learning techniques |
| url | https://doi.org/10.1140/epjc/s10052-024-12527-w |
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