Deep learning approach to the Higgs boson CP measurement in H to tau tau decay and associated systematics

The H→ττ decays form a promising channel for tests of the CP invariance of Higgs boson couplings. A previous study has shown the viability of deep learning techniques for such a measurement. In this paper, the study is extended to consider potential sources of uncertainty. Effects due to the limited experimental resolution are discussed. Furthermore, systematics due to τ decay modeling for complex cascade decays to τ±→a1±ντ→ρ0π±ντ→3π±ντ are also addressed. Various parametrizations using low-energy collision data are considered.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