Cargando…
Deep Learning Methods Applied to Higgs Physics at the LHC
The impact that machine learning (ML) has had on research in high-energy physics (HEP) is undeniable; the use of ML-based classifiers in many analyses is now the norm, and they have a long history of being used within reconstruction algorithms (e.g. $b$-tagging at LEP, 1995). The combined effect of...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2791460 |