Pub Date : 2024-08-16DOI: 10.1109/TNS.2024.3440705
{"title":"IEEE Nuclear Science Symposium, Medical Imaging Conference, and Room Temperature Semiconductor Detector Conference","authors":"","doi":"10.1109/TNS.2024.3440705","DOIUrl":"https://doi.org/10.1109/TNS.2024.3440705","url":null,"abstract":"","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":"71 8","pages":"1964-1964"},"PeriodicalIF":1.9,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638268","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141993979","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.2024.3435109
{"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":"71 8","pages":"1437-1438"},"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.2024.3423928
Zane W. Bell
The IEEE Transactions on Nuclear Science Best Paper Award is an annual award recognizing the most significant paper published in the TRANSACTIONS in a given year. The award is sponsored by the IEEE Nuclear and Plasma Sciences Society and the winning paper is selected according to its quantifiable usefulness to the community. The authors of papers published in the TRANSACTIONS in the third year prior to the year of the award are eligible for consideration. Thus, the 2024 award is awarded to the paper published in calendar year 2021 judged to be the most useful to our community based on metrics calculated for the years 2021, 2022, and 2023.
{"title":"IEEE Transactions on Nuclear Science 2024 Best Paper Award","authors":"Zane W. Bell","doi":"10.1109/TNS.2024.3423928","DOIUrl":"https://doi.org/10.1109/TNS.2024.3423928","url":null,"abstract":"The IEEE Transactions on Nuclear Science Best Paper Award is an annual award recognizing the most significant paper published in the TRANSACTIONS in a given year. The award is sponsored by the IEEE Nuclear and Plasma Sciences Society and the winning paper is selected according to its quantifiable usefulness to the community. The authors of papers published in the TRANSACTIONS in the third year prior to the year of the award are eligible for consideration. Thus, the 2024 award is awarded to the paper published in calendar year 2021 judged to be the most useful to our community based on metrics calculated for the years 2021, 2022, and 2023.","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":"71 8","pages":"1965-1965"},"PeriodicalIF":1.9,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638266","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141994003","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":"71 8","pages":"1963-1963"},"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":"71 8","pages":"2036-2036"},"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}
Pub Date : 2024-08-16DOI: 10.1109/TNS.2024.3444888
Haoran Liu;Peng Li;Mingzhe Liu;Kaimin Wang;Zhuo Zuo;Bingqi Liu
This study utilized the Tempotron, a robust classifier based on a third-generation neural network model, for pulse shape discrimination (PSD). By eliminating the need for manual feature extraction, the Tempotron model can process pulse signals directly, generating discrimination results based on prior knowledge. The study performed experiments using graphics processing unit (GPU) acceleration, resulting in being over 500 times faster compared to the CPU-based model, and investigated the impact of noise augmentation on the Tempotron performance. Experimental results substantiated that Tempotron serves as a formidable classifier, adept at accomplishing high discrimination accuracy on both AmBe and time-of-flight (ToF) PuBe datasets. Furthermore, analyzing the neural activity of Tempotron during training shed light on its learning characteristics and aided in selecting its hyperparameters. Moreover, the study addressed the constraints and potential avenues for future development in utilizing the Tempotron for PSD. The dataset used in this study and the GPU-based Tempotron are publicly available on GitHub at https://github.com/HaoranLiu507/TempotronGPU .
{"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":"10.1109/TNS.2024.3444888","url":null,"abstract":"This study utilized the Tempotron, a robust classifier based on a third-generation neural network model, for pulse shape discrimination (PSD). By eliminating the need for manual feature extraction, the Tempotron model can process pulse signals directly, generating discrimination results based on prior knowledge. The study performed experiments using graphics processing unit (GPU) acceleration, resulting in being over 500 times faster compared to the CPU-based model, and investigated the impact of noise augmentation on the Tempotron performance. Experimental results substantiated that Tempotron serves as a formidable classifier, adept at accomplishing high discrimination accuracy on both AmBe and time-of-flight (ToF) PuBe datasets. Furthermore, analyzing the neural activity of Tempotron during training shed light on its learning characteristics and aided in selecting its hyperparameters. Moreover, the study addressed the constraints and potential avenues for future development in utilizing the Tempotron for PSD. The dataset used in this study and the GPU-based Tempotron are publicly available on GitHub at \u0000<uri>https://github.com/HaoranLiu507/TempotronGPU</uri>\u0000.","PeriodicalId":13406,"journal":{"name":"IEEE Transactions on Nuclear Science","volume":"71 10","pages":"2297-2308"},"PeriodicalIF":1.9,"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":"71 8","pages":"C3-C3"},"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":"71 8","pages":"1436-1436"},"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}
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