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Title: Establishment of Imaging Spectroscopy of Nuclear Gamma-Rays based on Geometrical Optics
Authors: Tanimori, Toru
Mizumura, Yoshitaka kyouindb researcher_resolver
Takada, Atsushi
Miyamoto, Shohei
Takemura, Taito
Kishimoto, Tetsuro
Komura, Shotaro
Kubo, Hidetoshi
Kurosawa, Shunsuke
Matsuoka, Yoshihiro
Miuchi, Kentaro
Mizumoto, Tetsuya
Nakamasu, Yuma
Nakamura, Kiseki
Parker, Joseph D.
Sawano, Tatsuya
Sonoda, Shinya
Tomono, Dai
Yoshikawa, Kei
Author's alias: 谷森, 達
水村, 好貴
高田, 淳史
Issue Date: 3-Feb-2017
Publisher: Springer Nature
Journal title: Scientific Reports
Volume: 7
Thesis number: 41511
Abstract: Since the discovery of nuclear gamma-rays, its imaging has been limited to pseudo imaging, such as Compton Camera (CC) and coded mask. Pseudo imaging does not keep physical information (intensity, or brightness in Optics) along a ray, and thus is capable of no more than qualitative imaging of bright objects. To attain quantitative imaging, cameras that realize geometrical optics is essential, which would be, for nuclear MeV gammas, only possible via complete reconstruction of the Compton process. Recently we have revealed that "Electron Tracking Compton Camera" (ETCC) provides a well-defined Point Spread Function (PSF). The information of an incoming gamma is kept along a ray with the PSF and that is equivalent to geometrical optics. Here we present an imaging-spectroscopic measurement with the ETCC. Our results highlight the intrinsic difficulty with CCs in performing accurate imaging, and show that the ETCC surmounts this problem. The imaging capability also helps the ETCC suppress the noise level dramatically by ~3 orders of magnitude without a shielding structure. Furthermore, full reconstruction of Compton process with the ETCC provides spectra free of Compton edges. These results mark the first proper imaging of nuclear gammas based on the genuine geometrical optics.
Description: 放射線発見以来初の幾何光学に基づくガンマ線画像化法を発見・実用化 : ガンマ線完全可視化により放射線利用の安全評価が正確に. 京都大学プレスリリース. 2017-02-14.
Rights: © The Author(s) 2017. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
URI: http://hdl.handle.net/2433/218098
DOI(Published Version): 10.1038/srep41511
PubMed ID: 28155870
Related Link: http://www.kyoto-u.ac.jp/ja/research/research_results/2016/170203_1.html
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