Journal article
Deep learning approach to the Higgs boson CP measurement in H →ττ decay and associated systematics
E Barberio, B Le, E Richter-Was, Z Was, J Zaremba, D Zanzi
Physical Review D | AMER PHYSICAL SOC | Published : 2017
Abstract
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.
Grants
Awarded by Horizon 2020 Framework Programme
Funding Acknowledgements
The paper is a continuation of the work of [18]. We would like to thank R. Jozefowicz of Open AI (CA USA) for discussions and suggestions concerning NN applications. The author(s) would like to thank the support from funding agencies. B. L. was supported by Australian Government Research Training Program Scholarship. B. L. and Z. W. were supported by European Union under the Grant Agreement PITNGA2012316704 (HiggsTools). E. B. and D. Z. are supported by the Australian Research Council through the Centre of Excellence for Particle Physics at the Terascale. Z. W. and E. R.-W. were supported by Polish National Science Centre under decisions UMO-2014/15/B/ST2/00049. Part of the simulation was performed at PLGrid Infrastructure of the Academic Computer Centre CYFRONET AGH in Krakow, Poland.