HIGHLIGHTS
- who: Silvia Auricchio and colleagues from the UnivMonte SAngelo, Via Cinthia, Edificio, Italy Center of Innovation and Cooperation for PArticle and Interaction (CICPI), University of Science and have published the paper: Machine-Learning Application for a Likelihood Ratio Estimation Problem at LHC, in the Journal: (JOURNAL)
- what: In this paper a machine-learning algorithm to deal with the estimate of the expected background processes distribution a very demanding task for particle physics analyses is described. This approach enables a normalized distribution to be obtained and the background normalization factor in SR is obtained by the . . .
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