Cargando…
Application of Adversarial Networks in search for four top quark production in CMS
One burden of high energy physics data analysis is uncertainty within the measurement, both systematically and statistically. Even with sophisticated neural network techniques that are used to assist in high energy physics measurements, the resulting measurement may suffer from both types of uncerta...
Autor principal: | Wachirapusitanand, Vichayanun |
---|---|
Lenguaje: | eng |
Publicado: |
2019
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2685342 |
Ejemplares similares
-
Application of pivoting adversarial networks in search for four top quark production in CMS
por: Wachirapusitanand, V, et al.
Publicado: (2019) -
Search for four-top-quark production with four-lepton final states in CMS
por: Wachirapusitanand, Vichayanun
Publicado: (2017) -
Search for four-top-quark production with four-lepton final states in CMS
por: Wachirapusitanand, Vichayanun
Publicado: (2017) -
Machine Learning applications for Data Quality Monitoring and Data Certification within CMS
por: Wachirapusitanand, Vichayanun
Publicado: (2022) -
Search for the production of four top quarks at the CMS experiment at $\sqrt{s}$ = 13 TeV
por: Beck, Lana
Publicado: (2016)