Conference Proceedings
Deep learning approach to measurement of Higgs boson CP in the H → ττ decay channel
E Barberio, B Le, E Richter-Was, Z Was, D Zanzi
Acta Physica Polonica B Proceedings Supplement | JAGIELLONIAN UNIV | Published : 2018
Abstract
The measurement of the Higgs boson CP is amongst the most vital measurements in establishing the nature of the Higgs boson. Of the many decay channels, the ditau final state is one of the most sensitive channels due to the Yukawa coupling allowing access to a potential mixing between CP-even and CP-odd Higgs bosons. While decay modes such as the τ → a1 ± ν are well-established in literature, modes such as the τ → p±ν are not so. A new approach to encompass many decay modes has been developed using deep learning neural networks. This article summarises work done in assessing the robustness of the approach with respect to detector resolution effects and potential modelling issues. Also discuss..
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Awarded by European Commission
Funding Acknowledgements
We would like to thank R. Jozefowicz of Open AI (CA USA) for discussions and suggestions concerning NN applications. The authors would like to thank for the support from funding agencies. Brian Le was supported by the Australian Government Research Training Program Scholarship. Brian Le and Zbigniew Was were supported by the European Union under the Grant Agreement PITNGA2012316704 (HiggsTools). Elisabetta Barberio and Daniele Zanzi are supported by the Australian Research Council through the Centre of Excellence for Particle Physics at the Terascale. Zbigniew Was and Elzbieta Richter-Was were supported by the National Science Centre, Poland (NCN) under decisions UMO-2014/15/B/ST2/00049. Part of the simulations were performed at PLGrid Infrastructure of the Academic Computer Centre CYFRONET AGH in Krakow, Poland.