Machine learning methods for track classification in the AT-TPC-Reference-Cited by-同舟云学术

Machine learning methods for track classification in the AT-TPC

Published:2019-10 Issue: Volume:940 Page:156-167
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Kuchera M.P.,Ramanujan R.,Taylor J.Z.,Strauss R.R.,Bazin D.,Bradt J.,Chen Ruiming

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference36 articles.

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3. C. Adams, et al. A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber, 2018.

4. Deep neural networks for energy and position reconstruction in EXO-200;Delaquis;J. Instrum.,2018

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