Data related to super-resolution imaging based on cold neutron beam flow

The dataset consists of all the data in the process of applied research, experimental measurement, reconstruction and calculation, inspection and testing, including raw data that can be used for scientific research activities, and derived data at all levels obtained through pre-processing, computational processing, and analyses and comparisons.Specifically, the dataset contains:1. the main devices of the system for neutron imaging. This includes the 6LiF-ZnS scintillator screen, reflector, optical lens set, image intensifier (image intensifier), and sCMOS camera. The physical design and structural features of the device are described, and the relevant devices include: beamline, main shutter, aperture selector, first flight tube, second flight tube, beam control system, four-dimensional scanning, imaging system, and beam terminator.2. The computational steps of the algorithm are given in the data, including the specific method schematic of subtracting the noise background, median/Gaussian filtering, light spot segmentation, and local extreme value calculation.3. Raw data collected in the experiment: neutron signal and noise signal were collected when the reactor power was near 10 MW. Neutron detection data included fixed noise data, random noise data, other noise data, neutron detection signal data, and superimposed signal data.4. conventional integral imaging data obtained by post-processing of the experimental data, and the grey scale distribution of the region of interest of its image.5. super-resolution imaging results of the experimental data, specifically including: (1) center-of-mass algorithm reconstruction results; (2) center-of-mass algorithm reconstruction results, the grey scale distribution of the resolution stripe; (3) median-filtered center-of-mass algorithm reconstruction results; (4) median-filtered center-of-mass algorithm reconstruction results, the grey scale distribution of the resolution stripe; (5) median-filtered polar algorithm reconstruction results; (6) median-filtered polar algorithm reconstruction results; (7) median-filtered polar algorithm reconstruction results; and (8) median-filtered polar algorithm reconstruction results. results; (7) the grey scale distribution of the resolution stripe; (7) the reconstruction results of Gaussian filtering extreme value algorithm; (8) the grey scale distribution of the resolution stripe in the reconstruction results of Gaussian filtering extreme value algorithm.6. Comparison between experimental raw data and computationally processed data, including: (1) grey scale distribution of raw data; (2) grey scale distribution after filtering; (3) grey scale distribution after spot segmentation; (4) grey scale distribution of reconstruction results.Translated with DeepL.com (free version)

本数据集涵盖应用研究、实验测量、重构计算、检验检测全流程产生的全部数据，包含可用于科研活动的原始数据，以及经预处理、计算处理、分析对比得到的各级衍生数据。具体而言，本数据集包含以下内容：1. 中子成像系统的核心设备，具体包括6LiF-ZnS闪烁屏、反射镜、光学镜头组、像增强器（image intensifier）以及sCMOS相机；同时阐述了该设备的物理设计与结构特性，相关配套设备涵盖束线、主快门、孔径选择器、第一飞行管、第二飞行管、束流控制系统、四维扫描装置、成像系统以及束流终止器。2. 数据中给出了算法的计算步骤，具体包括噪声背景扣除、中值/高斯滤波、光斑分割以及局部极值计算的具体方法示意图。3. 实验采集的原始数据：反应堆功率接近10 MW时采集的中子信号与噪声信号，其中中子探测数据包括固定噪声数据、随机噪声数据、其他噪声数据、中子探测信号数据以及叠加信号数据。4. 经实验数据后处理得到的常规积分成像数据，及其图像感兴趣区域的灰度分布。5. 实验数据的超分辨率成像结果，具体包括：(1) 质心算法重构结果；(2) 质心算法重构结果的分辨率条纹灰度分布；(3) 中值滤波后的质心算法重构结果；(4) 中值滤波后的质心算法重构结果的分辨率条纹灰度分布；(5) 中值滤波后的极坐标算法重构结果；(6) 中值滤波后的极坐标算法重构结果；(7) 中值滤波后的极坐标算法重构结果；(8) 中值滤波后的极坐标算法重构结果；(7) 分辨率条纹灰度分布；(7) 高斯滤波极值算法重构结果；(8) 高斯滤波极值算法重构结果的分辨率条纹灰度分布。6. 实验原始数据与计算处理后数据的对比结果，包括：(1) 原始数据的灰度分布；(2) 滤波后的灰度分布；(3) 光斑分割后的灰度分布；(4) 重构结果的灰度分布。