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IAEA project aims to develop polymer irradiation model
The International Atomic Energy Agency has launched a new coordinated research project (CRP) aimed at creating a database of polymer-radiation interactions in the next five years with the long-term goal of using the database to enable machine learning–based predictive models.
Radiation-induced modifications are widely applicable across a range of fields including healthcare, agriculture, and environmental applications, and exposure to radiation is a major factor when considering materials used at nuclear power plants.
Hattan Natto, Haori Yang
Nuclear Technology | Volume 208 | Number 9 | September 2022 | Pages 1382-1392
Technical Paper | doi.org/10.1080/00295450.2022.2035478
Articles are hosted by Taylor and Francis Online.
Cherenkov detectors have been developed and used in several fields since the discovery of Cherenkov radiation. They do have several advantages compared with other detector types, such as low noise due to the low-energy threshold of Cherenkov radiation and short decay constant (on the order of picoseconds). However, the light yield of Cherenkov detectors is low. Only several hundreds of Cherenkov photons can be generated per megaelectron-volt. The objective of this work is to manufacture and test Cherenkov glass detectors for detection of high-energy gammas. The focus is to improve the light output of Cherenkov detectors by implementing wavelength shifting (WLS) fibers inside the glass samples. Without the WLS materials, most Cherenkov photons are likely to be absorbed within the glass sample before they can reach the photon sensor. WLS fibers do not directly increase the number of Cherenkov photons, but they can reduce the energy of Cherenkov photons and direct them toward the photon sensor. This photon energy reduction helps increase the efficiency of light collection and improves matching between the photon wavelength and photon detector quantum efficiency.