Development of convolutional neural networks for an electron-tracking Compton camera
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DOI[10.1093/ptep/ptab091]to the data of the same series
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- Material Type
- 記事
- Author/Editor
- Tomonori IkedaAtsushi TakadaMitsuru Abe
- Publication, Distribution, etc.
- Publication Date
- 2021-08
- Publication Date (W3CDTF)
- 2021-08
- Periodical title
- Progress of Theoretical and Experimental Physics : PTEP
- No. or year of volume/issue
- 2021(8)
- Volume
- 2021(8)
- ISSN (Periodical Title)
- 2050-3911
- Text Language Code
- eng
- DOI
- 10.1093/ptep/ptab091
- Persistent ID (NDL)
- info:ndljp/pid/11857314
- Collection
- Collection (Materials For Handicapped People:1)
- Collection (particular)
- 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
- Acquisition Basis
- オンライン資料収集制度
- Date Accepted (W3CDTF)
- 2021-10-29T15:30:40+09:00
- Date Captured (W3CDTF)
- 2021-10-25
- Format (IMT)
- application/pdf
- Access Restrictions
- 国立国会図書館内限定公開
- Service for the Digitized Contents Transmission Service
- 図書館・個人送信対象外
- Availability of remote photoduplication service
- 可
- Periodical Title (URI)
- Periodical Title (Persistent ID (NDL))
- info:ndljp/pid/11857300
- Data Provider (Database)
- 国立国会図書館 : 国立国会図書館デジタルコレクション
- Summary, etc.
- The Electron-Tracking Compton Camera (ETCC), which is a complete Compton camera that tracks Compton scattering electrons with a gas micro time projection chamber, is expected to open up MeV gamma-ray astronomy. The technical challenge for achieving several degrees of the point-spread function is precise determination of the electron recoil direction and the scattering position from track images. We attempted to reconstruct these parameters using convolutional neural networks. Two network models were designed to predict the recoil direction and the scattering position. These models marked 41° of angular resolution and 2.1 mm of position resolution for 75 keV electron simulation data in argon-based gas at 2 atm pressure. In addition, the point-spread function of the ETCC was improved to 15° from 22° for experimental data from a 662 keV gamma-ray source. The performance greatly surpassed that using traditional analysis.
- DOI
- 10.1093/ptep/ptab09110.48550/arxiv.2105.02512
- Access Restrictions
- インターネット公開
- Rights (production)
- © The Author(s) 2021. Published by Oxford University Press on behalf of the Physical Society of Japan.This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.Funded by SCOAP3
- Related Material (URI)
- Is Referenced By
- First Observation of the MeV Gamma-Ray Universe with Bijective Imaging Spectroscopy Using the Electron-tracking Compton Telescope on Board SMILE-2+Background contributions in the electron-tracking Compton camera aboard SMILE- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mn>2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:math>Celestial MeV gamma-ray observation using electron-tracking Compton camera loaded on long duration balloons (SMILE-3)Evaluating the capability of detecting recoil-electron tracks using an electron-tracking Compton camera with a silicon-on-insulator pixel sensorHigh-energy extension of the gamma-ray band observable with an electron-tracking Compton camera
- References
- First on-site true gamma-ray imaging-spectroscopy of contamination near fukushima plantAn electron-tracking telescope for a survey of the deep universe by MeV gamma-raysNew readout and data-acquisition system in an electron-tracking Compton camera for MeV gamma-ray astronomy (SMILE-II)SPI measurements of Galactic $\mathsf{^{26}}$AlGamma-ray line emission from SN1987AA novel method for event reconstruction in Liquid Argon Time Projection ChamberFirst measurement of nuclear recoil head-tail sense in a fiducialised WIMP dark matter detectorSimulation of gas avalanche in a micro pixel chamber using Garfield++A convolutional neural network approach for reconstructing polarization information of photoelectric X-ray polarimetersDetection of the 511 keV Galactic Positron Annihilation Line with COSIThe BL Lac heart of Centaurus ADemonstration of background rejection using deep convolutional neural networks in the NEXT experimentFully Convolutional Networks for Semantic SegmentationOSSE Mapping of Galactic 511 keV Positron Annihilation Line EmissionSpectral Energy Distributions of 3C 279 Revisited:<i>B</i><i>eppo</i><i>SAX</i>Observations and Variability ModelsThe first COMPTEL source catalogueObservations of GRB 990123 by the<i>Compton Gamma Ray Observatory</i>Lessons learnt from COMPTEL for future telescopesGamma-ray spectroscopy of positron annihilation in the Milky WayThe BATSE Gamma‐Ray Burst Spectral Catalog. I. High Time Resolution Spectroscopy of Bright Bursts Using High Energy Resolution DataGAMMA RAYS FROM TYPE Ia SUPERNOVA SN 2014JGeant4—a simulation toolkitA very large area Micro Pixel ChamberA multiterm Boltzmann analysis of drift velocity, diffusion, gain and magnetic-field effects in argon-methane-water-vapour mixtures
- Data Provider (Database)
- 国立情報学研究所 : CiNii Research
- Original Data Provider (Database)
- 学術機関リポジトリデータベース雑誌記事索引データベースCrossref科学研究費助成事業データベースCrossrefCrossrefCrossrefCrossrefCrossref
- Bibliographic ID (NDL)
- 11857314