Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

Abstract Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice...

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Bibliographic Details
Main Authors: Abed Abud, A., Abi, B., Acciarri, R., Acero, M. A., Adames, M. R., Adamov, G., Adamowski, M., Adams, D., Adinolfi, M., Aduszkiewicz, A., Aguilar, J., Ahmad, Z., Ahmed, J., Aimard, B., Ali-Mohammadzadeh, B., Alion, T., Allison, K., Alonso Monsalve, S., AlRashed, M., Alt, C.
Other Authors: Massachusetts Institute of Technology. Laboratory for Nuclear Science
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2022
Online Access:https://hdl.handle.net/1721.1/145851

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https://hdl.handle.net/1721.1/145851

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