[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126639-en":3,"doc-seo-126639-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},126639,549768064778,"Finn","https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8",8,"Research & Report","Hypernuclear event detection in the nuclear emulsion - Monte Carlo simulation and machine learning","This study develops a machine-learning method for detecting hypernuclear events recorded in nuclear emulsion sheets. An artificial neural network object-detection model is trained on surrogate images generated via Monte Carlo simulations and image-style transformations using generative adversarial networks. Performance is assessed with Λ-decay events from J-PARC E07 emulsion data. Results show about twice the detection efficiency of conventional image processing and roughly a 1/17 reduction in manual visual inspection time. The method is applied to hypernuclear event detection.","University of Groningen  \nHypernuclear event detection in the nuclear emulsion with Monte Carlo simulation and machine learning  \nKasagi, A. ; Dou, W. ; Drozd, V. ; Ekawa, H. ; Escrig, S. ; Gao, Y. ; He, Y. ; Liu, E. ; Muneem, A. ; Nakagawa, M.  \nPublished in:  \nNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment  \nDOI:  \n10.1016/j.nima.2023.168663  \nIMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.  \nDocument Version  \nPublisher's PDF, also known as Version of record  \nPublication date: 2023  \nLink to publication in University of Groningen/UMCG research database  \nCitation for published version (APA):  \nKasagi, A. , Dou, W. , Drozd, V. , Ekawa, H. , Escrig, S. , Gao, Y. , He, Y. , Liu, E. , Muneem, A. , Nakagawa, M. , Nakazawa, K. , Rappold, C. , Saito, N. , Saito, T. R. , Sugimoto, S. , Taki, M. , Tanaka, Y. K. , Yanai, A. , Yoshida, J. , ... Wang, H. (2023) . Hypernuclear event detection in the nuclear emulsion with Monte Carlo  \nsimulation and machine learning. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1056, Article 168663.  \n[https://doi.org/10.1016/j.nima.2023.168663](https://doi.org/10.1016/j.nima.2023.168663)  \nCopyright  \nOther than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons) .  \nThe publication may also be distributed here under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license. More information can be found on the University of Groningen website: [https://www.rug.nl/library/open-access/self-archiving-pure/taverne](https://www.rug.nl/library/open-access/self-archiving-pure/taverne)amendment.  \nTake-down policy  \nIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.  \nDownloaded from the University of Groningen/U MCG research database (Pure): [http://www.rug. nl/research/portal. For technical reasons the](http://www.rug. nl/research/portal. For technical reasons the)[ ](http://www.rug. nl/research/portal. For technical reasons the)[number of authors shown on this cover page is limited to 10 maximum.](number of authors shown on this cover page is limited to 10 maximum.)  \nDownload date: 01-01-2026  \nNuclear Instruments and Methods in Physics Research A 1056 (2023) 168663  \n| Full Length Article\u003Cbr>Hypernuclear event detection in the nuclear emulsion with Monte Carlo simulation and machine learning |  |  |  |\n| --- | --- | --- | --- |\n| A. Kasagi a,b,c,∗, W. Dou a,d, V. Drozd a,e, H. Ekawa a, S. Escrig a,f, Y. Gao a,g,h, Y. He a,i, E. Liu a,g,h,\u003Cbr>A. Muneem a,j, M. Nakagawa a, K. Nakazawa a,b,k, C. Rappoldf, N. Saito a, T.R. Saito a,i,l,\u003Cbr>S. Sugimoto a,d, M. Takic, Y.K. Tanaka a, A. Yanaia,d, J. Yoshida a,m,1 , M. Yoshimoto n, H. Wang a\u003Cbr>a High Energy Nuclear Physics Laboratory, Cluster for Pioneering Research, RIKEN, 2 -1 Hirosawa, Wako, Saitama 351-0198, Japan b Graduate School of Engineering, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan\u003Cbr>c Graduate School of Artificial Intelligence and Science, Rikkyo University, 3 -34-1 Nishi Ikebukuro, Toshima-ku, Tokyo 171-8501, Japan d Department of Physics, Saitama University, Saitama, 338-8570, Japan\u003Cbr>e Energy and Sustainability Research Institute Groningen, University of Groningen, 9747, AA, Groningen, Netherlands f Instituto de Estructura de la Materia, CSIC, 28006, Madrid, Spain\u003Cbr>g Institute of Modern Physics, Chinese Academy of Sciences, 509 Nanchang Road, Lanzhou, 730000, Gansu Province, China h University of Chinese Academy of Sciences, Beijing","cbCaik8DlENwjvEL","https://ap.wps.com/l/cbCaik8DlENwjvEL","pdf",5612955,1,12,"English","en",105,"# Introduction\n## Nuclear emulsion as a detector\n## Proposed machine-learning approach\n## Training data via Monte Carlo and GAN transformations\n## Evaluation on J-PARC E07 Λ-decay events\n## Results and impact on efficiency and manual inspection","[{\"question\":\"How does the proposed method detect hypernuclear events in nuclear emulsion sheets?\",\"answer\":\"It uses an artificial neural-network object detection model that is trained on surrogate images created from Monte Carlo simulations and image-style transformations using generative adversarial networks.\"},{\"question\":\"What data are used to evaluate the model’s performance?\",\"answer\":\"The model is evaluated using Λ-decay events obtained from the J-PARC E07 emulsion data.\"},{\"question\":\"What improvements are reported compared with conventional image processing?\",\"answer\":\"The approach achieves approximately twice the detection efficiency and reduces the time for manual visual inspection by about 1/17.\"}]","Hypernuclear event detection in the nuclear emulsion - Monte Carlo simulation and machine learning | PDF",1785933980,30,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"hypernuclear-event-detection-in-the-nuclear-emulsion-monte-carlo-simulation-and-machine-learning","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/hypernuclear-event-detection-in-the-nuclear-emulsion-monte-carlo-simulation-and-machine-learning/126639/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"How does the proposed method detect hypernuclear events in nuclear emulsion sheets?","Question",{"text":75,"@type":76},"It uses an artificial neural-network object detection model that is trained on surrogate images created from Monte Carlo simulations and image-style transformations using generative adversarial networks.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What data are used to evaluate the model’s performance?",{"text":80,"@type":76},"The model is evaluated using Λ-decay events obtained from the J-PARC E07 emulsion data.",{"name":82,"@type":73,"acceptedAnswer":83},"What improvements are reported compared with conventional image processing?",{"text":84,"@type":76},"The approach achieves approximately twice the detection efficiency and reduces the time for manual visual inspection by about 1/17.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":29,"slug":121},"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]