Pub Date : 2024-08-16DOI: 10.1109/TNS.2024.3435109
{"title":"List of Reviewers RADECS 2023 Special Issue","authors":"","doi":"10.1109/TNS.2024.3435109","DOIUrl":"https://doi.org/10.1109/TNS.2024.3435109","url":null,"abstract":"","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638258","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141993912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-16DOI: 10.1109/TNS.2024.3440704
{"title":"TechRxiv: Share Your Preprint Research with the World!","authors":"","doi":"10.1109/TNS.2024.3440704","DOIUrl":"https://doi.org/10.1109/TNS.2024.3440704","url":null,"abstract":"","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638245","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141994014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-16DOI: 10.1109/TNS.2024.3441890
{"title":"IEEE Nuclear Science Symposium, Medical Imaging Conference, and Room Temperature Semiconductor Detector Conference","authors":"","doi":"10.1109/TNS.2024.3441890","DOIUrl":"https://doi.org/10.1109/TNS.2024.3441890","url":null,"abstract":"","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638269","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141993924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pulse shape discrimination based on the Tempotron: a powerful classifier on GPU","authors":"Haoran Liu, Peng Li, Mingzhe Liu, Kaimin Wang, Zhuo Zuo, Bingqi Liu","doi":"10.1109/tns.2024.3444888","DOIUrl":"https://doi.org/10.1109/tns.2024.3444888","url":null,"abstract":"","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-16DOI: 10.1109/TNS.2024.3437969
{"title":"IEEE Transactions on Nuclear Science information for authors","authors":"","doi":"10.1109/TNS.2024.3437969","DOIUrl":"https://doi.org/10.1109/TNS.2024.3437969","url":null,"abstract":"","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638263","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141993925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The August 2024 special issue of the IEEE Transactions on Nuclear Science (TNS) contains more than 60 peer-reviewed journal articles prepared on the basis of presentations made at the 2023 Conference on Radiation and Its Effects on Components and Systems (RADECS), held in Toulouse, France, September 25–29, 2023. Additional papers presented at RADECS 2023 are available in the conference proceedings, available through IEEE Xplore.
{"title":"Comments by the Editors","authors":"Dan Fleetwood;Heather Quinn;Steven Moss;Vincent Goiffon;Philippe Paillet;Lili Ding;Daniel Loveless;Jeffrey Black;Federico Faccio;Janet Barth;Cui Meng;Enxia Zhang","doi":"10.1109/TNS.2024.3435088","DOIUrl":"https://doi.org/10.1109/TNS.2024.3435088","url":null,"abstract":"The August 2024 special issue of the IEEE Transactions on Nuclear Science (TNS) contains more than 60 peer-reviewed journal articles prepared on the basis of presentations made at the 2023 Conference on Radiation and Its Effects on Components and Systems (RADECS), held in Toulouse, France, September 25–29, 2023. Additional papers presented at RADECS 2023 are available in the conference proceedings, available through IEEE Xplore.","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638267","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141993858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-14DOI: 10.1109/tns.2024.3443070
Zhenyan Li, Jiajun Qin, Lei Zhao, Kexi Hou, Baiting Du, Yuelei Ma
{"title":"A Digital LLRF System Based On Intra-pulse Phase Feedback For LINAC In Hefei Advanced Light Facility","authors":"Zhenyan Li, Jiajun Qin, Lei Zhao, Kexi Hou, Baiting Du, Yuelei Ma","doi":"10.1109/tns.2024.3443070","DOIUrl":"https://doi.org/10.1109/tns.2024.3443070","url":null,"abstract":"","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-13DOI: 10.1109/tns.2024.3439609
Maoxing Zhang, Cui Meng, Yinong Liu
{"title":"Calculation of Cable SGEMP Response for PCB Trace Based on Finite Element Method","authors":"Maoxing Zhang, Cui Meng, Yinong Liu","doi":"10.1109/tns.2024.3439609","DOIUrl":"https://doi.org/10.1109/tns.2024.3439609","url":null,"abstract":"","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-13DOI: 10.1109/TNS.2024.3443124
Ze He;Zhu An;Ning Huang;Peng Wang;Jingxi Yuan;Hai Wang;Jiamei Wang;Jie He
In macro X-ray fluorescence (MA-XRF) imaging devices, a larger beam size leads to worse spatial resolution, and the surface topography can produce shadow patterns in the image that hinder its analysis. In this study, a portable MA-XRF imaging device is constructed, and the performance of the device is measured. Three image reconstruction algorithms are introduced, including compressive sensing, L0-regularized intensity and gradient prior (L0RIGP), and blind deconvolution (BD), to compare the image reconstruction of the USAF 1951 resolution test target. The results show that the BD algorithm outperformed the other two methods, achieving up to a 35% improvement in spatial resolution, a 24.2% enhancement in image signal-to-noise ratio, and an optimal spatial resolution of 0.36 mm (1.39 lp/mm). An intensity theoretical calculation model of XRF based on the sample surface topography is established. The copper map of a “5 Jiao” coin is corrected and the mean deviation decreased by 5.7%. Finally, a piece of lapis lazuli is analyzed, and the quality of the element maps of K, Ca, and Sr is improved by the surface topography correction and image reconstruction, with spatial resolutions increasing by 36.1%, 34.4%, and 33.5%, respectively. The research in this article demonstrates that the MA-XRF imaging device based on spatial resolution optimization and surface topography correction algorithms has promising applications.
{"title":"Improving Spatial Resolution and Correcting Surface Topography in Portable Macro-XRF Imaging Devices","authors":"Ze He;Zhu An;Ning Huang;Peng Wang;Jingxi Yuan;Hai Wang;Jiamei Wang;Jie He","doi":"10.1109/TNS.2024.3443124","DOIUrl":"10.1109/TNS.2024.3443124","url":null,"abstract":"In macro X-ray fluorescence (MA-XRF) imaging devices, a larger beam size leads to worse spatial resolution, and the surface topography can produce shadow patterns in the image that hinder its analysis. In this study, a portable MA-XRF imaging device is constructed, and the performance of the device is measured. Three image reconstruction algorithms are introduced, including compressive sensing, L0-regularized intensity and gradient prior (L0RIGP), and blind deconvolution (BD), to compare the image reconstruction of the USAF 1951 resolution test target. The results show that the BD algorithm outperformed the other two methods, achieving up to a 35% improvement in spatial resolution, a 24.2% enhancement in image signal-to-noise ratio, and an optimal spatial resolution of 0.36 mm (1.39 lp/mm). An intensity theoretical calculation model of XRF based on the sample surface topography is established. The copper map of a “5 Jiao” coin is corrected and the mean deviation decreased by 5.7%. Finally, a piece of lapis lazuli is analyzed, and the quality of the element maps of K, Ca, and Sr is improved by the surface topography correction and image reconstruction, with spatial resolutions increasing by 36.1%, 34.4%, and 33.5%, respectively. The research in this article demonstrates that the MA-XRF imaging device based on spatial resolution optimization and surface topography correction algorithms has promising applications.","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142189534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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