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A New Deep-Neural-Network--Based Missing Transverse Momentum Estimator, and its Application to W Recoil

This dissertation presents the first Deep-Neural-Network–based missing transverse momentum ($p$$_{T}^{miss}$ estimator, called “DeepMET”. It utilizes all reconstructed particles in an event as input, and assigns an individual weight to each of them. The DeepMET estimator is the negative of the vecto...

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Detalles Bibliográficos
Autor principal: Feng, Yongbin
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:http://cds.cern.ch/record/2744871

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