A two-dimensional gas detector with individual readouts for neutron detection with a high spatial resolution and fast temporal response

2005 ◽  
Vol 76 (9) ◽  
pp. 093302 ◽  
Author(s):  
Hiroki Tanaka ◽  
Tatsuya Nakamura ◽  
Hideshi Yamagishi ◽  
Kazuhiko Soyama ◽  
Kazuya Aizawa
Author(s):  
Hiroaki Shishido ◽  
Kazuma Nishimura ◽  
The Dang Vu ◽  
Kazuya Aizawa ◽  
Kenji M Kojima ◽  
...  

2014 ◽  
Vol 41 (6Part32) ◽  
pp. 549-550
Author(s):  
H Li ◽  
J Driewer ◽  
Z Han ◽  
D Low ◽  
D Yang ◽  
...  

2021 ◽  
Author(s):  
Jianjin Zhou ◽  
Jianrong Zhou ◽  
Xiaojuan Zhou ◽  
Lin Zhu ◽  
Jianqing Yang ◽  
...  

Abstract In recent years, Gas Electron Multiplier (GEM) neutron detector has been developing towards high spatial resolution and high dynamic counting range. A novel concept of the Al stopping layer was proposed to enable the detector to achieve sub-millimeter (sub-mm) spatial resolution. The neutron conversion layer was coated with the Al stopping layer to limit the emission angle of ions into the drift region. The short track projection of ions was obtained on the signal readout board, and the detector would get good spatial resolution. The spatial resolutions of the GEM neutron detector with Al stopping layer were simulated and optimized based on Geant4GarfieldInterface. When Al stopping layer was 3.0 μm thick, drift region was 2 mm thick, strip pitch was 600 μm, and digital readout was employed. The spatial resolution of the detector was 0.76 mm, and the thermal neutron detection efficiency was about 0.01%. Thus, the GEM neutron detector with a simple detector structure and a fast readout mode was developed to obtain a high spatial resolution and high dynamic counting range. It could be used for the direct measurement of a high-flux neutron beam, such as Bragg transmission imaging, very small-angle scattering neutron detection and neutron beam diagnostic.


2004 ◽  
Vol 75 (7) ◽  
pp. 2340-2345 ◽  
Author(s):  
H. Yamagishi ◽  
T. Nakamura ◽  
K. Soyama ◽  
S. Masaoka ◽  
K. Aizawa

2013 ◽  
Vol 760-762 ◽  
pp. 1524-1528 ◽  
Author(s):  
Ya Feng Zhang ◽  
Jian Guo Wen ◽  
Jun Ling Zhu ◽  
Jian Lin Yu

Data fusion technique can produce fused images with high spatial resolution and abundant spectral information. A new image fusion algorithm based on two-dimension PCA and Curvelet transform will be proposed according to image process models specialities in this paper. First of all, we performed 2DPCA on the MS image to get the 1st principle component (PC1); then we applied Curvelet transform in Pan Image and PC1; lastly decomposition coefficients obtained was processed according to certain rules to get fused coefficients, and afterwards, we performed inverse Curvelet transform on them to acquire fused sub-images. Then we performed inverse 2DPCA transform on the other components and the fused sub-images to get fused images. Experiments will be carried out via application of multispectral and panchromatic images, and it turns out that this new algorithm can improve spatial resolution greatly while maintaining spectral information.


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