Deep learning approach to the Higgs boson CP measurement in H -> tau tau 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
Awarded by European Union
Awarded by Polish National Science Centre
The paper is a continuation of the work of . 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.