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Adversarial Tuning of Perturbative Parameters in Non-Differentiable Physics Simulators

<!--HTML-->In this contribution, we present a method for tuning perturbative parameters in Monte Carlo simulation using a classifier loss in high dimensions. We use an LSTM trained on the radiation pattern inside jets to learn the parameters of the final state shower in the Pythia Monte Carlo...

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Detalles Bibliográficos
Autor principal: Paganini, Michela
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2312417

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