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Regression Deep Neural Networks for top-quark-pair resonance finding in the dilepton channel: feasibility study and foreseen improvements over traditional analysis techniques with the ATLAS experiment at the LHC
The ATLAS experiment at the LHC has the potential to find evidences of new physics beyond the Standard Model (BSM). Some BSM theories predict the existence of new massive particles decaying to pairs of top quarks ($t\bar{t}$), that can be detected by ATLAS. The key distribution to consider to prove...
Autor principal: | Tilotta, Daniele |
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Lenguaje: | eng |
Publicado: |
2021
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2763283 |
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