Reconstruction of fast neutron direction in segmented organic detectors using deep learning-Reference-Cited by-同舟云学术

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Reconstruction of fast neutron direction in segmented organic detectors using deep learning

Published:2023-04 Issue: Volume:1049 Page:168024
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:

Bae Jun Woo^ORCID,Wu Tingshiuan C.^ORCID,Jovanovic Igor

Funder

US Department of Energy

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference24 articles.

1. Calibration and testing of a large-area fast-neutron directional detector;Vanier,2007

2. Results with the neutron scatter camera;Mascarenhas;IEEE Trans. Nucl. Sci.,2009

3. Imaging special nuclear material using a handheld dual particle imager;Steinberger;Sci. Rep.,2020

4. Single-volume neutron scatter camera for high-efficiency neutron imaging and spectroscopy;Braverman,2018

5. The single-volume scatter camera;Manfredi,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-Time Classification of Radiation Pulses With Piled-Up Recovery Using an FPGA-Based Artificial Neural Network;IEEE Access;2023

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