Cargando…
Electron Identification with a Convolutional Neural Network in the ATLAS Experiment
The identification of electrons plays an important role for a large fraction of the physics analyses performed at the ATLAS experiment. An improved electron identification algorithm is presented that is based on convolutional neural networks (CNN), a type of machine learning architecture specialized...
Autor principal: | The ATLAS collaboration |
---|---|
Lenguaje: | eng |
Publicado: |
2023
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2850666 |
Ejemplares similares
-
Identification of electrons using a deep neural network in the ATLAS experiment
por: The ATLAS collaboration
Publicado: (2022) -
Convolutional Neural Networks with Event Images for Pileup Mitigation with the ATLAS Detector
por: The ATLAS collaboration
Publicado: (2019) -
Identification of hadronic tau lepton decays using neural networks in the ATLAS experiment
por: The ATLAS collaboration
Publicado: (2019) -
Identification of Jets Containing $b$-Hadrons with Recurrent Neural Networks at the ATLAS Experiment
por: The ATLAS collaboration
Publicado: (2017) -
Identification of highly boosted 𝒁 → 𝒆 + 𝒆 − decays with the ATLAS detector using deep neural networks
por: The ATLAS collaboration
Publicado: (2022)