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Machine Learning approach for the search of heavy diboson resonances in semi-leptonic final state at $\sqrt{s}$= 13 TeV with the ATLAS detector
A Recurrent Neural Network-based approach has been adopted for the classification of the production mechanisms in the search of heavy resonances decaying in two bosons. The search is performed using proton-proton collision data recorded with the ATLAS detector from 2015 to 2018. The investigated fin...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | https://dx.doi.org/10.1393/ncc/i2022-22092-9 http://cds.cern.ch/record/2837861 |