Cargando…
Recursive Neural Networks in Quark/Gluon Tagging
<!--HTML-->Vidyo contribution Based on the natural tree-like structure of jet sequential clustering, the recursive neural networks (RecNNs) embed jet clustering history recursively as in natural language processing. We explore the performance of RecNN in quark/gluon discrimination. The result...
Autor principal: | Cheng, Taoli |
---|---|
Lenguaje: | eng |
Publicado: |
2018
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2313001 |
Ejemplares similares
-
Quark/gluon jet discrimination: a reproducible analysis using R
por: Lowe, Andrew
Publicado: (2017) -
Top tagging with deep neural networks [Vidyo]
por: Pearkes, Jannicke
Publicado: (2017) -
Flavor Tagging with Deep Neural Networks at Belle II
por: Gemmler, Jochen
Publicado: (2017) -
Decorrelated Jet Substructure Tagging using Adversarial Neural Networks
por: Shimmin, Chase Owen
Publicado: (2017) -
Exploring neural networks to improve b-jet tagging with the ALICE detector
por: Haake, Rudiger
Publicado: (2017)