Cargando…
A machine learning algorithm for energy reconstruction and binary classification of elastic and inelastic neutrino scattering events at the SND@LHC
This Bachelor Research Thesis (BTR) aims to improve the accuracy of energy reconstruction for particle showers within an energy range of 200-400 GeV passing through the Scintillating Fibre (SciFi) planes of the prospective Scattering and Neutrino Detector at the Large Hadron Collider (SND@LHC). To t...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2022
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2803850 |