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Xiaopan 0.3.8
Xiaopan 0.3.8













Optimization of quasi-ideal cascade with an additional feed flow. XIE Quanxin, YANG Kun, ZHOU Yongsheng, MOU Hong. Application of super-resolution optical microscopy in biology. MAO Xiuhai, DU Jiancong, HUANG Qing, FAN Chunhai, DENG Suhui. Synthesis of Dumbbell-like Au nanostructure and its light-absorbance study. SHEN Jianlei, XU Yan, LI Kun, SONG Shiping, FAN Chunhai. Experimental study of radiotargeting-therapy with small molecular polypeptide in nude mice bearing lung adenocarcinoma. LI Guiping, HUANG Baodan, DU Li, HAN Yanjiang, HUANG Kai, LIU Feng, ZHENG Wenli, ZHANG Hui, GUO Linlang. Simulation study of neutrons time-correlated coincidence count for uranium components based on 252Cf source-driven noise analysis method. ZHOU Mi, WEI Biao, YANG Fan, FENG Peng, QIAO Liang. Monte Carlo simulation of dose enhancement effect of X-ray at Au/Si interface. WU Zhengxin, HE Chengfa, LU Wu, GUO Qi, ARKIN Abulim, YU Xin, ZHANG Lei, DENG Wei, ZHENG Qiwen. Improve beam position stability of SSRF BL15U beamline by using beam intensity feedback. LI Guoqiang, LIANG Dongxu, YAN Fen, LI Aiguo, YU Xiaohan. Simulation study of high-resolution Micro Insert PET imaging system YIN Yongzhi, LI Meichun, WANG Huipeng, YAO Liping, YE Zhengqian. Noise analysis of cosine fitting radiography for diffraction enhanced imaging WU Hexi, GE Liangquan, LUO Yaoyao, LIU Yibao, YU Fei.Īnalyzing airborne gamma-ray spectrum by the least square method Theoretical design of a scintillation detector for space protons radiation effective dose measurements ZHANG Shoujie, JIANG Xinbiao, LI Da, YU Xiaoren, MIAO Liangliang, MA Yan. Nuclear Techniques, 2016, 39(3): 30402-030402.Įffect of density measurement on D-D induced gamma counting Test and comparison of aerosol sample preparation methods in radiation monitoring SHI Xiaqing, YU Guobing, GU Xianbao, ZHANG Yu, ZHAO Jun, CHEN Zhi, XU Xie. Monte Carlo simulation on demagnetization of artificial spin ice YU Liju, MENG Xiangyu, LI Junqin, CAO Jiefeng, WANG Yong, JING Chao, WU Yanqing, TAI Renzhong. Monte Carlo simulation and analysis of X-ray tube's heel effect Simulation of momentum resolution of the CEE-TPC in HIRFL LI He, ZHANG Song, LU Fei, ZHONG Chen, MA Yugang. Monte Carlo simulation and validation of the enhanced dynamic wedge of Varian accelerator Nuclear Techniques, 2017, 40(2): 20404-020404.ĭAI Zhenhui, ZHAO Shiwu, YANG Geng, ZHU Lin, ZHANG Bailin, ZHU Yuanhu, JIN Huaizhi, WANG Xuetao, ZHANG Yu. Nuclear Techniques, 2018, 41(10): 100502-100502.Īlgorithm optimization of MLEM in coded aperture imaging system Nuclear Techniques, 2018, 41(8): 80401-080401.ĬHEN Xianghong, YU Huawei, ZHOU Yue, ZHANG Feng, WANG Zhigang.Ĭalculation of borehole diameter and standoff using logging while drilling density logging Nuclear Techniques, 2019, 42(6): 60201-060201.Ī method to determine the response coefficient of environmental gamma spectrometer to airborne radionuclide concentration Nuclear Techniques, 2019, 42(7): 0-070203-6.Ī method for material identification based on X-ray dual-energy backscatter detection Yuankun WANG,Qian WANG,Tao WANG,Jing LIU.Įffect of secondary electron non-equilibrium on the absorbed doses of CMOS device sensitive area and total ionizing dose effect. Key words: Compton camera, Monte Carlo simulation, Backprojection imaging reconstruction algorithm The next step is improving simulated Compton camera to study its performance parameters, while the maximum likelihood algorithm could improve the spatial resolution of Compton camera. Conclusion: Because of the existence of large amount of data, Compton camera needs long calculation time for measuring data. Results: Using backprojection algorithm and simulated Compton camera, when the distance between source and the scattering detector is 40 mm, the spatial resolution is FWHM=8.0 mm, angular resolution is 3° and γ photon imaging efficiency is 0.38%, which are better than most of the pinhole and coded aperture γ camera imaging. Backprojection imaging reconstruction algorithm is studied for getting the reconstruction of source.

#Xiaopan 0.3.8 software

Methods: By using Monte Carlo simulation software GEANT4, a Compton camera with stripes structure is designed and data for reconstruction image of source is read out. Purpose: This study aims to build a Compton camera via Monte Carlo simulation and test its backprojection algorithm. Background: Due to its imaging principle advantages and the development of detectors, nuclear electronics, Compton camera has once again put forward.













Xiaopan 0.3.8