Journal article

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

University of Melbourne Researchers

Grants

Awarded by European Union


Awarded by Polish National Science Centre


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.