G. Ge

most citedSearch for an anomalous excess of charged-current quasi-elastic

ν_{e}

interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction

44 citations · 44 across the 2 of their papers we have counts for

collaborators

2 papers

hep-ex2021★ 44 cited

Search for an anomalous excess of charged-current quasi-elastic $ν_{e}$ interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction

MicroBooNE collaboration, P. Abratenko, R. An +185

We present a measurement of the $ν_{e}$ -interaction rate in the MicroBooNE detector that addresses the observed MiniBooNE anomalous low-energy excess (LEE). The approach taken isolat…

physics.comp-ph2020

Grid-based minimization at scale: Feldman-Cousins corrections for SBN

Holger Schulz, Marianette Wospakrik, Mark Ross-Lonergan +6

We present a computational model for the construction of Feldman-Cousins (FC) corrections frequently used in High Energy Physics (HEP) analysis. The program contains a grid-based m…

Search for an anomalous excess of charged-current quasi-elastic νe​ interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction

Grid-based minimization at scale: Feldman-Cousins corrections for SBN

Search for an anomalous excess of charged-current quasi-elastic $ν_{e}$ interactions with the MicroBooNE experiment using Deep-Learning-based reconstruction