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Artificial Intelligence for High Energy Physics最新文献

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Machine Learning for Triggering and Data Acquisition 用于触发和数据采集的机器学习
Artificial Intelligence for High Energy Physics Pub Date : 2022-02-06 DOI: 10.1142/9789811234033_0009
Philip W. Harris, Nhan Tran
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引用次数: 0
Particle Identification in Neutrino Detectors 中微子探测器中的粒子识别
Artificial Intelligence for High Energy Physics Pub Date : 2022-02-06 DOI: 10.1142/9789811234026_0014
R. Sharankova, T. Wongjirad
{"title":"Particle Identification in Neutrino Detectors","authors":"R. Sharankova, T. Wongjirad","doi":"10.1142/9789811234026_0014","DOIUrl":"https://doi.org/10.1142/9789811234026_0014","url":null,"abstract":"","PeriodicalId":416365,"journal":{"name":"Artificial Intelligence for High Energy Physics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134060504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Learning from Four Vectors 四个向量的深度学习
Artificial Intelligence for High Energy Physics Pub Date : 2022-02-06 DOI: 10.1142/9789811234026_0003
P. Baldi, Peter Sadowski, D. Whiteson
{"title":"Deep Learning from Four Vectors","authors":"P. Baldi, Peter Sadowski, D. Whiteson","doi":"10.1142/9789811234026_0003","DOIUrl":"https://doi.org/10.1142/9789811234026_0003","url":null,"abstract":"An early example of the ability of deep networks to improve the statistical power of data collected in particle physics experiments was the demonstration that such networks operating on lists of particle momenta (four-vectors) could outperform shallow networks using features engineered with domain knowledge. A benchmark case is described, with extensions to parameterized networks. A discussion of data handling and architecture is presented, as well as a description of how to incorporate physics knowledge into the network architecture.","PeriodicalId":416365,"journal":{"name":"Artificial Intelligence for High Energy Physics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131227867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
FRONT MATTER 前页
Artificial Intelligence for High Energy Physics Pub Date : 2022-02-06 DOI: 10.1142/9789811234026_fmatter
P. Calafiura, D. Rousseau, K. Terao
{"title":"FRONT MATTER","authors":"P. Calafiura, D. Rousseau, K. Terao","doi":"10.1142/9789811234026_fmatter","DOIUrl":"https://doi.org/10.1142/9789811234026_fmatter","url":null,"abstract":"","PeriodicalId":416365,"journal":{"name":"Artificial Intelligence for High Energy Physics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115821691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Clustering 聚类
Artificial Intelligence for High Energy Physics Pub Date : 2022-02-06 DOI: 10.1142/9789811234026_0011
K. Terao
{"title":"Clustering","authors":"K. Terao","doi":"10.1142/9789811234026_0011","DOIUrl":"https://doi.org/10.1142/9789811234026_0011","url":null,"abstract":"","PeriodicalId":416365,"journal":{"name":"Artificial Intelligence for High Energy Physics","volume":"228 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114098924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sequence-Based Learning 序列学习
Artificial Intelligence for High Energy Physics Pub Date : 2022-02-06 DOI: 10.1142/9789811234026_0015
R. Teixeira de Lima
{"title":"Sequence-Based Learning","authors":"R. Teixeira de Lima","doi":"10.1142/9789811234026_0015","DOIUrl":"https://doi.org/10.1142/9789811234026_0015","url":null,"abstract":"","PeriodicalId":416365,"journal":{"name":"Artificial Intelligence for High Energy Physics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125214841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dealing with Nuisance Parameters 处理滋扰参数
Artificial Intelligence for High Energy Physics Pub Date : 2022-02-06 DOI: 10.1142/9789811234026_0017
T. Dorigo, P. De Castro Manzano
{"title":"Dealing with Nuisance Parameters","authors":"T. Dorigo, P. De Castro Manzano","doi":"10.1142/9789811234026_0017","DOIUrl":"https://doi.org/10.1142/9789811234026_0017","url":null,"abstract":"","PeriodicalId":416365,"journal":{"name":"Artificial Intelligence for High Energy Physics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124651497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Clustering 聚类
Artificial Intelligence for High Energy Physics Pub Date : 2022-02-06 DOI: 10.1142/9789811234033_0011
K. Terao
{"title":"Clustering","authors":"K. Terao","doi":"10.1142/9789811234033_0011","DOIUrl":"https://doi.org/10.1142/9789811234033_0011","url":null,"abstract":"","PeriodicalId":416365,"journal":{"name":"Artificial Intelligence for High Energy Physics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130393567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
End-to-End Analyses Using Image Classification 端到端分析使用图像分类
Artificial Intelligence for High Energy Physics Pub Date : 2022-02-06 DOI: 10.1142/9789811234033_0010
Adam Aurisano, L. Whitehead
{"title":"End-to-End Analyses Using Image Classification","authors":"Adam Aurisano, L. Whitehead","doi":"10.1142/9789811234033_0010","DOIUrl":"https://doi.org/10.1142/9789811234033_0010","url":null,"abstract":"End-to-end analyses of data from high-energy physics experiments using machine and deep learning techniques have emerged in recent years. These analyses use deep learning algorithms to go directly from low-level detector information directly to high-level quantities that classify the interactions. The most popular class of algorithms for these analyses are convolutional neural networks that operate on experimental data formatted as images. End-to-end analyses skip stages of the traditional workflow that includes the reconstruction of particles produced in the interactions, and as such are not limited by efficiency losses and sources of inaccuracy throughout the event reconstruction process. In many cases, deep learning end-to-end analyses have been shown to have significantly increased performance compared to previous state-of-the-art methods.","PeriodicalId":416365,"journal":{"name":"Artificial Intelligence for High Energy Physics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122292146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Generative Models for Fast Simulation 快速仿真的生成模型
Artificial Intelligence for High Energy Physics Pub Date : 2022-02-06 DOI: 10.1142/9789811234033_0006
Michela Paganini, Luke de Oliveira, B. Nachman, D. Derkach, F. Ratnikov, Andrey Ustyuzhanin, A. Ghosh
{"title":"Generative Models for Fast Simulation","authors":"Michela Paganini, Luke de Oliveira, B. Nachman, D. Derkach, F. Ratnikov, Andrey Ustyuzhanin, A. Ghosh","doi":"10.1142/9789811234033_0006","DOIUrl":"https://doi.org/10.1142/9789811234033_0006","url":null,"abstract":"","PeriodicalId":416365,"journal":{"name":"Artificial Intelligence for High Energy Physics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117220474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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