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...

全面介绍

书目详细资料
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.
其他作者: Massachusetts Institute of Technology. Laboratory for Nuclear Science
格式: 文件
语言:English
出版: Springer Berlin Heidelberg 2022
在线阅读:https://hdl.handle.net/1721.1/145851

因特网

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

相似书籍