ATLAS data analysis using a parallelized workflow on distributed cloud-based services with GPUs

We present a new implementation of simulation-based inference using data collected by the ATLAS experiment at the LHC. The method relies on large ensembles of deep neural networks to approximate the exact likelihood. Additional neural networks are introduced to model systematic uncertainties in the...

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Detalles Bibliográficos
Autores principales: Sandesara, Jay Ajitbhai, Coelho Lopes De Sa, Rafael, Martinez Outschoorn, Verena Ingrid, Barreiro Megino, Fernando Harald, Elmsheuser, Johannes, Klimentov, Alexei
Lenguaje:eng
Publicado: 2023
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2858013

Internet

http://cds.cern.ch/record/2858013

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