Work

Noise signal identification in time projection chamber data using deep learning model

Year: 2023

Type: article

Source: Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment

DOI: 10.1016/j.nima.2023.168025

Authors: C.H. Kim, S. Ahn, K.Y. Chae, J. Hooker, G.V. Rogachev

Institutions: Sungkyunkwan University, Institute for Basic Science, Texas A&M University

Language: English

Topic: Particle Detector Development and Performance

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: bronze

Funders: U.S. Department of Energy, National Research Foundation, Ministry of Science, ICT and Future Planning, National Research Foundation of Korea, Institute for Basic Science, Ministry of Science and ICT, South Korea

Awards: G1548337573, G227586730, G2331347295, G3036460, G4547971943, G6113491088, G6986277050, NEW AWARD - CYCLOTRON BASED NUCLEAR SCIENCE PI - JOSEPH B.NATOWITZ, G7599454640, G8092632321, G919133822

OpenAlex ID: W4313680696

FWCI: 0.523

Cites: 41

Cited by: 8

Related to: 10