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

Understand

We present a measurement of the $\nu_e$-interaction rate in the MicroBooNE detector that addresses the observed MiniBooNE anomalous low-energy excess (LEE).

• The approach taken isolates neutrino interactions consistent with the kinematics of charged-current quasi-elastic (CCQE) events.
• The topology of such signal events has a final state with 1 electron, 1 proton, and 0 mesons ($1e1p$).
• Multiple novel techniques are employed to identify a $1e1p$ final state, including particle identification that use two methods of deep-learning-based image identification, and event isolation using a boosted decision-tree ensemble trained to recognize two-body scattering kinematics.