Radioisotope Identification(放射性同位素鉴定)研究综述
Radioisotope Identification 放射性同位素鉴定 - The paper also considers solving real optimization problem in the field of nuclear engineering, radioisotope identification. [1] We report the implementation of a deep convolutional neural network to train a high-resolution room-temperature CdZnTeSe based gamma ray spectrometer for accurate and precise determination of gamma ray energies for radioisotope identification. [2] Radioisotope identification of an energy spectrum obtained from a radiation portal monitor (RPM) is a challenging task due to its insufficient data acquisition time. [3] Radioisotope identification using a plastic scintillation detector has been a challenging issue because of the poor spectral resolution and low cross-sections of these types of detectors when used for photoelectric absorption. [4]论文还考虑解决核工程、放射性同位素识别等领域的实际优化问题。 [1] 我们报告了深度卷积神经网络的实施，以训练基于高分辨率室温 CdZnTeSe 的伽马射线光谱仪，以准确和精确地确定伽马射线能量以进行放射性同位素识别。 [2] 由于数据采集时间不足，从辐射门户监测器 (RPM) 获得的能谱的放射性同位素识别是一项具有挑战性的任务。 [3] 使用塑料闪烁检测器进行放射性同位素识别一直是一个具有挑战性的问题，因为这些类型的检测器在用于光电吸收时光谱分辨率差且横截面低。 [4]
radioisotope identification device
PURPOSE This is a computational study to develop a rugged self-powered Radioisotope Identification Device (RIID). [1] Considering the application to a handheld radioisotope identification device, different hand motions are investigated and compared, where waving apparently has the best angular detection rates. [2] A representative sample of three archetypes (body-worn, human-carried, and other/large-detection-volume equipment) encompassed six categories: personal radiation detector, extended-range personal radiation detector, personal emergency radiation detector, radioisotope identification device, human-portable detector/backpack, and vehicle-mounted large-detection-volume detector. [3]目的 这是一项计算研究，旨在开发一种坚固的自供电放射性同位素识别装置 (RIID)。 [1] 考虑到手持放射性同位素识别设备的应用，研究和比较了不同的手部运动，其中挥动显然具有最佳的角度检测率。 [2] 三种原型（随身携带、随身携带和其他/大检测量设备）的代表性样本包括六类：个人辐射探测器、扩展范围个人辐射探测器、个人应急辐射探测器、放射性同位素识别设备、人类-便携式检测器/背包，车载大检测量检测器。 [3]