Investigating artifacts associated with β-particle interactions in charge-coupled devices.

Autor: Newton, Rosie, Scott, Mike J., Joyce, Malcolm J.
Zdroj: International Journal of Modern Physics: Conference Series; 2018, Vol. 48, pN.PAG-N.PAG, 10p
Abstrakt: Charge-coupled devices (CCDs) show potential for detecting charged particles and ionizing radiation. In particular, the clusters in the pixel images produced can be distinctive for α and β radiation, with α particles causing symmetrical clusters or vertical tracks, and β particles causing long, curved tracks. This distinction may be exploited by means of a handheld, portable device for in-situ detection, and identification of radioactive contamination. β-particle track interactions in CCDs have been investigated. Simulative results using CASINO (Monte Carlo Simulation of Electron Trajectory in Solids) attempt to predict the size of β-particle pixel clusters, using 512 keV and 310 keV electrons to represent 137Cs and 60Co, respectively. The number of pixels that higher-energy electrons traversed peaked at two, while lower-energy electrons had a smaller peak of 2.5 pixels, with a higher proportion of large cluster sizes. This finding is consistent with the higher scattering cross-section for lower-energy β particles. By contrast, experimental data show a peak at one pixel for both sources, owing to the addition of smaller γ clusters. The 60Co source shows a higher proportion of large cluster sizes than the 137Cs, as was also seen in the simulation; however, the difference was small, as these sources are similar in energy. Simulative and experimental data will be used to process the CCD images further, with the objective of distinguishing between β and γ radiation. Investigations have also been carried out using a 210Po α particle source. Horizontal streaks were seen in the images produced, with an average length of 14 pixels. Further research will be performed using an accelerator to obtain different α-particle energies. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index