NOνA (E929)
NuMI Off-Axis νe Appearance Experiment

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NPML 2020: Regression CNNs for Energy Reconstruction in the NOvA Experiment

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Document type:
Conference talk
Submitted by:
Benjamin John Jargowsky
Updated by:
Gavin S Davies
Document Created:
15 Jul 2020, 12:43
Contents Revised:
20 Jul 2020, 18:00
Metadata Revised:
08 Jan 2021, 03:23
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NOvA is an accelerator neutrino experiment with an 810 km baseline. Using the NuMI beam from Fermilab, it measures electron neutrino appearance and muon neutrino disappearance at its far detector. NOvA has embraced a wide range of deep learning methods. Here we will focus on energy regression CNNs. NOvA has developed a regression CNN that takes the raw cells from the detector as inputs, and outputs an estimate of the electron neutrino event energy. The resolution of this CNN outperforms that of the traditional method, and also has improved systematic uncertainty. NOvA is also experimenting with regression CNNs for other energy estimation tasks.
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Associated with Events:
held from 15 Jul 2020 to 16 Jul 2020 in Zoom
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