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Machine learning for top quark physics at the edge in LHC pp collisions with ATLAS and CMS
Illustration of most advanced and performant ML techniques used in top quark physics measurements: from top reconstruction to signal to background rejection methods to top-jet-tagging.
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| Lenguaje: | eng |
| Publicado: |
2021
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| Acceso en línea: | http://cds.cern.ch/record/2784386 |
| Sumario: | Illustration of most advanced and performant ML techniques used in top quark physics measurements: from top reconstruction to signal to background rejection methods to top-jet-tagging. |
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