The Korean Physical Society 06130 22, Teheran-ro 7-gil, Gangnam-gu, Seoul, Republic of Korea 610 Representation : Tae Won NOH TEL: 02-556-4737 FAX: 02-554-1643 E-mail : Copyright(C) KPS, All rights reserved.
30 May 2022 to 4 June 2022
Virtual Seoul
Asia/Seoul timezone

Data-Driven cross checks for electron (anti)neutrino selection efficiency in NOvA

Not scheduled
Virtual Seoul

Virtual Seoul

Poster Neutrino oscillation Poster


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

Primary author

Anna Hall (University of Virginia)

Presentation Materials