📣 Try out the NEW Gateway to Research and let us know what you think.

We're looking for users to test the new service during August and September and share their feedback. Express your interest by completing this short form.

Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network (2022)

First Author: Abed Abud A

Attributed to: R&D on Liquid Argon detectors for neutrino physics funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1140/epjc/s10052-022-10791-2

Publication URI: http://dx.doi.org/10.1140/epjc/s10052-022-10791-2

Type: Journal Article/Review

Parent Publication: The European Physical Journal C

Issue: 10