Ultrafast radiographic imaging and tracking: An overview of instruments, methods, data, and applications

作者：‪Zhehui Wang, Andrew F. T. Leong, A. Dragone, A. E. Gleason, R. Ballabriga, Christopher Campbell, M. Campbell, Samuel J. Clark, Cinzia Da Vià, Dana M. Dattelbaum, M. Demarteau, L. Fabris, Kamel Fezzaa, Eric R. Fossum, Sol M. Grüner, Todd C. Hufnagel, Xiaolu Ju, Ke Li, X. Llopart, Bratislav Lukić, Alexander Rack, J. Strehlow, Audrey Corbeil Therrien, Julia Thom-Levy, Feixiang Wang, Tiqiao Xiao, Mingwei Xu, Xin Yue · 发表于：Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 年份：2023 · DOI：10.1016/j.nima.2023.168690 · 被引用次数：18 · 研究领域：Advanced X-ray Imaging Techniques、Medical Imaging Techniques and Applications、Advanced X-ray and CT Imaging

Ultrafast radiographic imaging and tracking (U-RadIT) use state-of-the-art ionizing particle and light sources to experimentally study sub-nanosecond transients or dynamic processes in physics, chemistry, biology, geology, materials science and other fields. These processes are fundamental to modern technologies and applications, such as nuclear fusion energy, advanced manufacturing, communication, and green transportation, which often involve one mole or more atoms and elementary particles, and thus are challenging to compute by using the first principles of quantum physics or other forward models. One of the central problems in U-RadIT is to optimize information yield through, e.g. high-luminosity X-ray and particle sources, efficient imaging and tracking detectors, novel methods to collect data, and large-bandwidth online and offline data processing, regulated by the underlying physics, statistics, and computing power. We review and highlight recent progress in: (a.) Detectors such as high-speed complementary metal-oxide semiconductor (CMOS) cameras, hybrid pixelated array detectors integrated with Timepix4 and other application-specific integrated circuits (ASICs), and digital photon detectors; (b.) U-RadIT modalities such as dynamic phase contrast imaging, dynamic diffractive imaging, and four-dimensional (4D) particle tracking; (c.) U-RadIT data and algorithms such as neural networks and machine learning, and (d.) Applications in ultrafast dynamic material science using...