A New Evolutionary Algorithm for Optimizing the Search of a Rare Higgs Boson Production Channel
This paper describes the results of applying an evolutionary algorithm to optimize the hyperparameters of a neural network (NN) solving the problem of separating the rare Higgs boson birth process in association with a single top quark $$pp \to tH(H \to bb)$$ from the main background processes $$pp \to tt,ttH,tZbq$$ .
Authors
- N. Huseynov (ORCID: https://orcid.org/0000-0003-2201-5572)
- I. Yeletskikh
- O. A. Dolovova
- I. R. Boyko
- Alisa Romanovna Didenko (ORCID: https://orcid.org/0009-0006-3327-9732)
- S. Trincaz-Duvoid (ORCID: https://orcid.org/0000-0001-5913-0828)
Institutions
- Moscow Institute of Physics and Technology (RU)
- Lomonosov Moscow State University (RU)
- Joint Institute for Nuclear Research (RU)
- Institute of Physics (AZ)
Publication Details
- Journal
- Physics of Particles and Nuclei Letters
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1134/s1547477124700808
- Primary Topic
- Particle physics theoretical and experimental studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00