Status of tau lepton decay Monte Carlo generator TAUOLA, and its main recent applications are reviewed. It is underlined, that in recent efforts on development of new hadronic currents, the multi-dimensional nature of distributions of the experimental data must be taken with a great care. Studies for H to tau tau; tau to hadrons indeed demonstrate that multi-dimensional nature of distributions is important and available for evaluation of observables where tau leptons are used to constrain experimental data. For that part of the presentation, use of the TAUOLA program for phenomenology of H and Z decays at LHC is discussed, in particular in the context of the Higgs boson parity measurements with the use of Machine Learning techniques. Some additions, relevant for QED lepton pair emission and electroweak corrections are mentioned as well.
Cited by 1
Lasocha et al., Machine learning classification: Case of Higgs boson
decay at the LHC
Phys. Rev. D 100, 113001 (2019) [Crossref]
Authors / Affiliations: mappings to Contributors and OrganizationsSee all Organizations.
- 1 Vladimir Cherepanov,
- 2 Elzbieta Richter-Was,
- 3 Zbigniew Andrzej Was
- 1 Institut Pluridisciplinaire Hubert Curien / Hubert Curien Multi-disciplinary Institute [IPHC]
- 2 Uniwersytet Jagielloński / Jagiellonian University
- 3 Polska Akademia Nauk / Polish Academy of Sciences [PAN]