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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 sin^2 theta_W or Higgs boson parity. Some aspects of such studies will be presented.
At present, new techniques based on Machine Learning paradigm reach popularity, but previously developed approach of optimal variables remain important as essential result benchmark.