A performance study of an electron-tracking Compton camera with a compact system for environmental gamma-ray observation
Tetsuya Mizumoto, Dai Tomono, Atsushi Takada, Toru Tanimori, Shotaro, Komura, Hidetoshi Kubo, Yoshihiro Matsuoka, Yoshitaka Mizumura, Kiseki, Nakamura, Shogo Nakamura, Makoto Oda, Joseph D. Parker, Tatsuya Sawano, Naoto, Bando, Akira Nabetani

TL;DR
This study evaluates a portable electron-tracking Compton camera's performance for environmental gamma-ray detection, demonstrating its imaging ability, efficiency, and potential for soil contamination assessment.
Contribution
The paper introduces a compact, battery-powered ETCC system optimized for environmental gamma-ray observation and provides detailed performance metrics from laboratory tests.
Findings
Field of view approximately 1 sr
Detection efficiency for 662 keV gamma rays is about 9.31×10^-5
Angular resolution around 5.9 degrees
Abstract
An electron-tracking Compton camera (ETCC) is a detector that can determine the arrival direction and energy of incident sub-MeV/MeV gamma-ray events on an event-by-event basis. It is a hybrid detector consisting of a gaseous time projection chamber (TPC), that is the Compton-scattering target and the tracker of recoil electrons, and a position-sensitive scintillation camera that absorbs of the scattered gamma rays, to measure gamma rays in the environment from contaminated soil. To measure of environmental gamma rays from soil contaminated with radioactive cesium (Cs), we developed a portable battery-powered ETCC system with a compact readout circuit and data-acquisition system for the SMILE-II experiment. We checked the gamma-ray imaging ability and ETCC performance in the laboratory by using several gamma-ray point sources. The performance test indicates that the field of view (FoV)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
