Convolutional neural networks for shower energy prediction in liquid argon time projection chambers

Convolutional neural networks for shower energy prediction in liquid argon time projection chambers

<jats:title>Abstract</jats:title> <jats:p>When electrons with energies of O(100) MeV pass through a liquid argon time projection chamber (LArTPC), they deposit energy in the form of electromagnetic showers. Methods to reconstruct the energy of these shower...

Full description

Bibliographic Details
Main Authors: Carloni, K, Kamp, NW, Schneider, A, Conrad, JM
Other Authors: Massachusetts Institute of Technology. Department of Physics
Format: Article
Language:English
Published: IOP Publishing 2022
Online Access:https://hdl.handle.net/1721.1/142032

Internet

https://hdl.handle.net/1721.1/142032

Similar Items