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Machine Learning For Top Quark Physics
In the last 5 years, machine learning algorithms, in particular the neural network, have proven to be a very powerful tool for high energy physics at the LHC. In the realm of top quark physics, machine learning has risen to prominence both in event selection and event reconstruction. In this thesis...
Autor principal: | Bols, Emil Sorensen |
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Lenguaje: | eng |
Publicado: |
2022
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2823867 |
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