Learning new physics efficiently with nonparametric methods

HIGHLIGHTS

• who: Marco Letizia from the MaLGa-DIBRIS, Universitu00e0 di Genova, Genoa, Italy have published the article: Learning new physics efficiently with nonparametric methods, in the Journal: Eur. Phys. J. C (2022) 82:879 of /2022/
• what: The authors present a novel machine_learning implementation of the analysis strategy proposed by D`Agnolo 879 Page 2 of 16 et_al . The aim of this strategy is to compute the loglikelihood-ratio test statistics without specifying the alternative new physics hypothesis a priori. The authors demonstrate the viability of the framework by testing on pArticle physics datasets of increasing . . .
  

   

  

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