Deep learning approach to the Higgs boson CP measurement in H to tau tau decay and associated systematics
The H to tau tau decays form the prime channel for the measurement of the Higgs boson state and tests of the CP invariance of Higgs boson couplings. A previous study has shown the viability of deep learning techniques for the measurement. In this paper, the study is expanded. Effects due to the part...
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| creator | Barberio, Elisabetta Le, Brian Richter-Was, Elzbieta Was, Zbigniew Zanzi, Daniele Zaremba, Jakub |
| description | The H to tau tau decays form the prime channel for the measurement of the Higgs boson state and tests of the CP invariance of Higgs boson couplings. A previous study has shown the viability of deep learning techniques for the measurement. In this paper, the study is expanded. Effects due to the partial modelling of experimental effects are discussed. Furthermore, systematics due to ? decay modelling for complex cascade decays to tau^pm to a_1^pm nu_tau to rho^0 pi^pm nu_tau to 3pi^\pm nu_tau are also addressed. Various parameterisations are considered using low-energy collision data. |
| doi_str_mv | 10.48550/arxiv.1706.07983 |
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| subjects | Couplings Decay Deep learning Higgs bosons Modelling Physics - High Energy Physics - Phenomenology Quarks Viability |
| title | Deep learning approach to the Higgs boson CP measurement in H to tau tau decay and associated systematics |
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