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A high-dimensional unbinned measurement of 24 kinematic observables using a machine learning-based analysis of data recorded by the ATLAS detector
In this thesis, a precision measurement of high momentum $Z\rightarrow\mu\mu$ events in proton-proton collision data recorded during 2015–2018 by the ATLAS detector is performed. This measurement is made using a new method, MultiFold, that leverages machine learning to produce a result that is not o...
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| Lenguaje: | eng |
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2023
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| Acceso en línea: | http://cds.cern.ch/record/2872436 |