Analysis-Specific Fast Simulation at the LHC with Deep Learning

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We present a fast-simulation application based on a deep neural network, designed to create large analysis-specific datasets. Taking as an example the generation of W + jet events produced in [Formula: see text]  13 TeV proton–proton collisions, we train a neural network to model detector resolution...

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Detalles Bibliográficos
Autores principales: Chen, C., Cerri, O., Nguyen, T. Q., Vlimant, J. R., Pierini, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549944/
https://www.ncbi.nlm.nih.gov/pubmed/34723083
http://dx.doi.org/10.1007/s41781-021-00060-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549944/
https://www.ncbi.nlm.nih.gov/pubmed/34723083
http://dx.doi.org/10.1007/s41781-021-00060-4

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