Zbigniew Was - Optimal variables and machine learning for hadronic currents of tau decays: messages from LHC on Higgs boson CP and Z polarization observables
When |
Mar 08, 2019
from 03:00 PM to 04:00 PM |
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Where | Natural Science 102 |
Contact Name | Swagato Banerjee, Ph.D. |
Contact Phone | (502)-852-0915 |
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Speaker: Zbigniew Was
Abstract: 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.