Development of convolutional neural networks for an electron-tracking Compton camera
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DOI[10.1093/ptep/ptab091]のデータに遷移します
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- 資料種別
- 記事
- 著者・編者
- Tomonori IkedaAtsushi TakadaMitsuru Abe
- 出版年月日等
- 2021-08
- 出版年(W3CDTF)
- 2021-08
- タイトル(掲載誌)
- Progress of Theoretical and Experimental Physics : PTEP
- 巻号年月日等(掲載誌)
- 2021(8)
- 掲載巻
- 2021(8)
- ISSN(掲載誌)
- 2050-3911
- 本文の言語コード
- eng
- DOI
- 10.1093/ptep/ptab091
- 国立国会図書館永続的識別子
- info:ndljp/pid/11857314
- コレクション(共通)
- コレクション(障害者向け資料:レベル1)
- コレクション(個別)
- 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
- 収集根拠
- オンライン資料収集制度
- 受理日(W3CDTF)
- 2021-10-29T15:30:40+09:00
- 保存日(W3CDTF)
- 2021-10-25
- 記録形式(IMT)
- application/pdf
- オンライン閲覧公開範囲
- 国立国会図書館内限定公開
- デジタル化資料送信
- 図書館・個人送信対象外
- 遠隔複写可否(NDL)
- 可
- 掲載誌(国立国会図書館永続的識別子)
- info:ndljp/pid/11857300
- 連携機関・データベース
- 国立国会図書館 : 国立国会図書館デジタルコレクション
- 要約等
- 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
- オンライン閲覧公開範囲
- インターネット公開
- 著作権情報
- © 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
- 関連情報(URI)
- 参照
- 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
- 参照
- 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
- 連携機関・データベース
- 国立情報学研究所 : CiNii Research
- 提供元機関・データベース
- 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
- 書誌ID(NDLBibID)
- 11857314