Neutral pion reconstruction using machine learning in the MINERvA experiment at 〈Ev〉 ∼ 6GeV
Date Issued
2021-07
Author(s) USM
Galindo, Raúl
Ghosh, A.
Yaeggy, B.
DOI
10.1088/1748-0221/16/07/P07060
Abstract
This paper presents a novel neutral-pion reconstruction that takes advantage of the machine learning technique of semantic segmentation using MINERvA data collected between 2013-2017, with an average neutrino energy of 6 GeV. Semantic segmentation improve
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