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Machine learning classification: case of Higgs boson CP state in H to tau tau$ decay at LHC
Machine learning (ML) techniques are rapidly finding a place among the methods of high-energy physics data analysis. Different approaches are explored concerning how much effort should be put into building high-level variables based on physics insight into the problem, and when it is enough to rely...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1103/PhysRevD.100.113001 http://cds.cern.ch/record/2653082 |