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Validating a BDT-based Electron-Positron Identification Algorithm at CLAS12 with Experimental Data
This article presents a machine-learning, particle-identification algorithm for electrons and positrons in the CLAS12 experiment. The main objective was to minimize charged-pion contamination for both experimental and simulated data. We developed, evaluated and validated two BDT models with differen
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