Optimal variables and machine learning for hadronic currents of tau decays: messages from LHC on Higgs boson CP and Z polarization observables

Event

When:
Fri, 08 Mar 2019, 03:00 pm - 04:00 pm
Where:
Natural Science Bldg. 112 - Louisville, KY
Category:
Spring 2019
Who:
Zbigniew Was
Affiliation:
Henryk Niewodniczański Institute of Nuclear Physics Krakow, Poland

Description

For many years the best methods for phenomenology was to design one dimensional distributions of the best sensitivity to particular physics quantity, such as in case of tau leptons, LHC measurements can be sin2 theta_W or Higgs boson parity. Some aspects of such studies will be presented. At present, techniques based on Machine Learning reach popularity, but the previously developed approach of optimal variables remain important as essential result benchmark.


Venue

Location:
Natural Science Bldg. 112