"Data-Driven cross checks for electron neutrino selection efficiency in NOvA"
Anna Hall , University of Virginia - Department of Physics
[Host: Prof. Craig Group]
NOvA is a long-baseline neutrino oscillation experiment, designed to make measurements using muon neutrino disappearance and electron neutrino appearance. It consists of two functionally equivalent detectors and utilizes the Fermilab NuMI beam. NOvA uses a convolutional neural network for particle identification of electron neutrino events with a validation process that includes several data-driven techniques. In particular, a suite of studies called the Muon Removed studies checks for bias in our particle identifier between simulation and data arising from potential mismodelling in our simulation by modifying samples of muonic events to create samples of pure electron neutrino like events. This talk will discuss the implementation and results of these techniques being applied to our most recent analysis as well as how these cross checks could be extended to corrections to our predicted electron neutrino signal.
High Energy Physics Seminar
Wednesday, April 13, 2022
Physics Building, Room 313
Note special time.
Note special room.
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Meeting ID: 922 8790 9487
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