Machine-enhanced CP-asymmetries in the Higgs sector
| Autor: | Akanksha Bhardwaj, Christoph Englert, Robert Hankache, Andrew D. Pilkington |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Nuclear and High Energy Physics
High Energy Physics - Phenomenology High Energy Physics - Experiment (hep-ex) CP violation High Energy Physics - Phenomenology (hep-ph) High Energy Physics::Phenomenology FOS: Physical sciences Higgs physics Phenomenology High Energy Physics::Experiment High Energy Physics - Experiment |
| Zdroj: | Bhardwaj, A, Englert, C, Hankache, R & Pilkington, A D 2022, ' Machine-enhanced CP-asymmetries in the Higgs sector ', Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics, vol. 832, 137246 . https://doi.org/10.1016/j.physletb.2022.137246 Physics Letters |
| ISSN: | 0370-2693 |
| DOI: | 10.48550/arxiv.2112.05052 |
| Popis: | Improving the sensitivity to CP-violation in the Higgs sector is one of the pillars of the precision Higgs programme at the Large Hadron Collider. We present a simple method that allows CP-sensitive observables to be directly constructed from the output of neural networks. We show that these observables have improved sensitivity to CP-violating effects in the production and decay of the Higgs boson, when compared to the use of traditional angular observables alone. The kinematic correlations identified by the neural networks can be used to design new analyses based on angular observables, with a similar improvement in sensitivity. Comment: 10 pages, 7 figures, 2 tables, v2: added clarifications, references updated, v3: version published in PLB |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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