Description
NOvA is a long-baseline neutrino oscillation experiment, designed to make measurements using $\nu_\mu(\bar{\nu_\mu})$ disappearance and $\nu_e(\bar{\nu_e})$ appearance. It consists of two functionally equivalent detectors and utilizes the Fermilab NuMI beam. NOvA uses a convolutional neural network for particle identification of $\nu_e$ events with a validation process that includes several data-driven techniques. Muon-Removed, Electron-Added studies involve selecting $\nu_\mu$ charged current candidates from data and simulation and replacing the muon with a simulated electron of similar energy. For Muon-Removed Bremsstrahlung and Muon-Removed Decay-in-Flight studies we remove muonic hits from cosmic muons that have either experienced Bremsstrahlung radiation or decayed in flight, producing samples of pure electromagnetic showers. Each of these $\nu_e$-like samples is then evaluated by our classifier to obtain selection efficiencies. Our most recent analysis showed good agreement in the $\nu_e$ selection efficiency using these techniques. These results and future improvements are presented here.
| Collaboration | NOvA |
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