Scintillator Pixel Detectors for Measurement of Compton Scattering

Scientific paper - Original scientific paper

• Author: Mihael Makek; MBZ: 256122
• Author: Damir Bosnar; MBZ: 134936
• Author: Luka Pavelić; MBZ: 362460
• Author's institution: University of Zagreb; Faculty of Science; (Department of Physics)
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Physics

Abstract (english)

The Compton scattering of gamma rays is commonly detected using two detector layers, the first for detection of the recoil electron and the second for the scattered gamma. We have assembled detector modules consisting of scintillation pixels, which are able to detect and reconstruct the Compton scattering of gammas with only one readout layer. This substantially reduces the number of electronic channels and opens the possibility to construct cost-efficient Compton scattering detectors for various applications such as medical imaging, environment monitoring, or fundamental research. A module consists of a 4 × 4 matrix of lutetium fine silicate scintillators and is read out by a matching silicon photomultiplier array. Two modules have been tested with a 22Na source in coincidence mode, and the performance in the detection of 511 keV gamma Compton scattering has been evaluated. The results show that Compton events can be clearly distinguished with a mean energy resolution of 12.2% ± 0.7% in a module and a coincidence time resolution of 0.56±0.02 ns between the two modules.

• Keywords (english): Compton camera; positron emission tomography; Compton scattering; scintillation detector; silicon photomultiplier; medical applications
• Language: english
• Publication type: Scientific paper - Original scientific paper
• Publication status: Published
• Peer review: Peer review - international
• Publication version: Published version
• Journal title: Condensed Matter
• Numbering: vol. 4, no. 1, 24
• p-ISSN: 2410-3896
• DOI: https://doi.org/10.3390/condmat4010024
• URN:NBN: urn:nbn:hr:217:761778
• Publication: 2019
• Document URL: https://www.mdpi.com/2410-3896/4/1/24
• Type of resource: Text
• Access conditions: Open access
• Public note: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Received: 31 January 2019. Accepted: 13 February 2019. Published: 15 February 2019.
• Created on: 2020-08-12 10:03:28