Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Xianyun Ai"'
Publikováno v:
Sensors, Vol 23, Iss 21, p 8951 (2023)
(1) Background: The imaging energy range of a typical Compton camera is limited due to the fact that scattered gamma photons are seldom fully absorbed when the incident energies are above 3 MeV. Further improving the upper energy limit of gamma-ray i
Externí odkaz:
https://doaj.org/article/7af878c81efb41228aa5d988dd221998
Publikováno v:
Nuclear Engineering and Technology, Vol 54, Iss 1, Pp 269-274 (2022)
An artificial neural network (ANN) that identifies radionuclides from low-count gamma spectra of a NaI scintillator is proposed. The ANN was trained and tested using simulated spectra. 14 target nuclides were considered corresponding to the requisite
Externí odkaz:
https://doaj.org/article/e823287003d743b5a590ea75657d83af
Autor:
Hang Xu, Xianyun Ai, Ying Wang, Wenzhuo Chen, Zikun Li, Xian Guan, Xing Wei, Jianming Xie, Ye Chen
Publikováno v:
Sensors, Vol 23, Iss 12, p 5628 (2023)
Estimating the gamma dose rate at one meter above ground level and determining the distribution of radioactive pollution from aerial radiation monitoring data are the core technical issues of unmanned aerial vehicle nuclear radiation monitoring. In t
Externí odkaz:
https://doaj.org/article/ad80f6161a414c0c908ef3cc4827cb11
Autor:
Yantao Liu, Lei Shuai, Daowu Li, Shuangquan Liu, Yingjie Wang, Wei Zhou, Huan Huang, Xiaoming Wang, Xuanhou Hu, Xiuzuo Liang, Kai Zhuang, Ting Li, Yue Yu, Xin Li, Yi Ding, Yan Zhao, Yiwen Zhang, Zhiming Zhang, Cunfeng Wei, Xianyun Ai, Jipeng Zhang, Xiong Xiao, Long Wei
Publikováno v:
AIP Advances, Vol 12, Iss 8, Pp 085317-085317-14 (2022)
This work presents a novel stereo coded aperture gamma camera based on four detection modules placed within four quadrants. Each module includes 48 × 48 strips of Bi4Ge3O12 scintillators, 24 × 24 pieces of silicon photomultipliers (SiPMs), and a se
Externí odkaz:
https://doaj.org/article/f1d39b91dc8a429b8fc8cab602fdf133
Autor:
Chen, Hang Xu, Xianyun Ai, Ying Wang, Wenzhuo Chen, Zikun Li, Xian Guan, Xing Wei, Jianming Xie
Publikováno v:
Sensors; Volume 23; Issue 12; Pages: 5628
Estimating the gamma dose rate at one meter above ground level and determining the distribution of radioactive pollution from aerial radiation monitoring data are the core technical issues of unmanned aerial vehicle nuclear radiation monitoring. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::4c2488e081a2942ab9a1e26bb1a49c54
Publikováno v:
Journal of Radioanalytical and Nuclear Chemistry.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7571d61aaf03ceaf7764134d7fe998c5
https://doi.org/10.1007/s10967-023-08939-9
https://doi.org/10.1007/s10967-023-08939-9
Autor:
Wei Zhao, Xianyun Ai, Xiong Xiao, Wuyun Xiao, Sheng Qi, Jinglun Li, Jipeng Zhang, Wenming Lei
Publikováno v:
X-Ray Spectrometry.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7776d574ea96ff5d2c7352b43f3a26f
https://doi.org/10.1002/xrs.3353
https://doi.org/10.1002/xrs.3353
Autor:
JiPeng ZHANG, XinHua MA, Bin ZHANG, Xiong XIAO, JingLun LI, WenMing LEI, Wei ZHAO, XianYun AI
Publikováno v:
SCIENTIA SINICA Technologica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb907fba416487a4a4b5f218bf497348
https://doi.org/10.1360/sst-2022-0411
https://doi.org/10.1360/sst-2022-0411
Publikováno v:
Nuclear Engineering and Technology, Vol 54, Iss 1, Pp 269-274 (2022)
An artificial neural network (ANN) that identifies radionuclides from low-count gamma spectra of a NaI scintillator is proposed. The ANN was trained and tested using simulated spectra. 14 target nuclides were considered corresponding to the requisite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bb1a9dcb4471b60f6209989e28055ed
https://doi.org/10.1016/j.net.2021.07.025
https://doi.org/10.1016/j.net.2021.07.025
Publikováno v:
SCIREA Journal of Environment.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c920571f9d0bd993ab6c63395b09f83c
https://doi.org/10.54647/environmental61318
https://doi.org/10.54647/environmental61318