兰州大学机构库
Hypernuclear event detection in the nuclear emulsion with Monte Carlo simulation and machine learning
2023-11
Online publication date2023-09
Source PublicationNUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT   Impact Factor & Quartile
ISSN0168-9002 ; 1872-9576
EISSN1872-9576
Volume1056
page numbers11
AbstractThis study developed a novel method for detecting hypernuclear events recorded in nuclear emulsion sheets using machine learning techniques. The artificial neural network-based object detection model was trained on surrogate images created through Monte Carlo simulations and image-style transformations using generative adversarial networks. The performance of the proposed model was evaluated using ⠋-decay events obtained from the J-PARC E07 emulsion data. The model achieved approximately twice the detection efficiency of conventional image processing and reduced the time spent on manual visual inspection by approximately 1/17. The established method was successfully applied to the detection of hypernuclear events. This approach is a state-of-the-art tool for discovering rare events recorded in nuclear emulsion sheets without any real data for training.
KeywordMachine learning Object detection Geant4-simulation GAN Nuclear emulsion Alpha-decay Hypernucleus
PublisherELSEVIER
DOI10.1016/j.nima.2023.168663
Indexed BySCIE
Language英语
WOS Research AreaInstruments & Instrumentation ; Nuclear Science & Technology ; Physics
WOS SubjectInstruments & Instrumentation ; Nuclear Science & Technology ; Physics, Nuclear ; Physics, Particles & Fields
WOS IDWOS:001080187600001
Original Document TypeArticle
Citation statistics
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/568243
Collection兰州大学
Corresponding AuthorKasagi, A.
Affiliation
1.RIKEN, Cluster Pioneering Res, High Energy Nucl Phys Lab, 2-1 Hirosawa, Wako, Saitama 3510198, Japan;
2.Gifu Univ, Grad Sch Engn, 1-1 Yanagido, Gifu 5011193, Japan;
3.Rikkyo Univ, Grad Sch Artificial Intelligence & Sci, 3-34-1 Nishi Ikebukuro,Toshima Ku, Tokyo 1718501, Japan;
4.Saitama Univ, Dept Phys, Saitama 3388570, Japan;
5.Univ Groningen, Energy & Sustainabil Res Inst Groningen, NL-9747 AA Groningen, Netherlands;
6.CSIC, Inst Estruct Mat, Madrid 28006, Spain;
7.Chinese Acad Sci, Inst Modern Phys, 509 Nanchang Rd, Lanzhou 730000, Gansu, Peoples R China;
8.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
9.Lanzhou Univ, Sch Nucl Sci & Technol, 222 South Tianshui Rd, Lanzhou 730000, Gansu, Peoples R China;
10.Ghulam Ishaq Khan Inst Engn Sci & Technol, Fac Engn Sci, Topi 23640, KP, Pakistan;
11.Gifu Univ, Fac Educ, 1-1 Yanagido, Gifu 5011193, Japan;
12.GSI Helmholtz Ctr Heavy Ion Res, Planckstr 1, D-64291 Darmstadt, Germany;
13.Tohoku Univ, Dept Phys, Aoba Ku, Sendai 9808578, Japan;
14.RIKEN, RIKEN Nishina Ctr, 2-1 Hirosawa, Wako, Saitama 3510198, Japan
Recommended Citation
GB/T 7714
Kasagi, A.,Dou, W.,Drozd, V.,et al. Hypernuclear event detection in the nuclear emulsion with Monte Carlo simulation and machine learning[J]. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT,2023,1056.
APA Kasagi, A..,Dou, W..,Drozd, V..,Ekawa, H..,Escrig, S..,...&Wang, H..(2023).Hypernuclear event detection in the nuclear emulsion with Monte Carlo simulation and machine learning.NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT,1056.
MLA Kasagi, A.,et al."Hypernuclear event detection in the nuclear emulsion with Monte Carlo simulation and machine learning".NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 1056(2023).
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