Improved calorimetric particle identification in NA62 using machine learning techniques
E. Cortina, A. Kleimenova, E. Minucci, S. Padolski et autres
Abstract Measurement of the ultra-rare $$ {K}^{+}\to {\pi}^{+}\nu \overline{\nu} $$ K + → π + ν ν ¯ decay at the NA62 experiment at CERN requires high-performance particle identification to distinguish muons from pions. Calorimetric identification currently in use, based on a …
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1 citation
Journal of High Energy Physics