Cargando…
Jet flavour identification using Graph Neural Networks in CMS
<!--HTML--><p>The identification of the flavour of the parton that initiated the spray of stable particles forming a jet is a fundamental component of standard model measurements and searches for new physics with quarks and gluons in the final state. The first...
Autor principal: | Gouskos, Loukas |
---|---|
Lenguaje: | eng |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2835621 |
Ejemplares similares
-
Graph Neural Networks for High Luminosity Track Reconstruction
por: Murnane, Daniel Thomas
Publicado: (2022) -
Exploring the (Metric) Space of Jets with CMS Open Data
por: Metodiev, Eric
Publicado: (2019) -
Flavour physics: status and prospects
por: Gligorov, Vladimir
Publicado: (2014) -
ATLAS GNN Flavour Tagging
por: Van Stroud, Samuel
Publicado: (2023) -
Update on the di-jet mass spectrum in W+2jet events at CDF
por: Potamianos, Karolos
Publicado: (2013)