LHC hadronic jet generation using convolutional variational autoencoders with normalizing flows
LHC hadronic jet generation using convolutional variational autoencoders with normalizing flows
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Bristol: IOP Publishing
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English
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Bristol: IOP Publishing
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In high energy physics, one of the most important processes for collider data analysis is the comparison of collected and simulated data. Nowadays the state-of-the-art for data generation is in the form of Monte Carlo (MC) generators. However, because of the upcoming high-luminosity upgrade of the Large Hadron Collider (LHC), there will not be enou...
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LHC hadronic jet generation using convolutional variational autoencoders with normalizing flows
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TN_cdi_doaj_primary_oai_doaj_org_article_75b47c62b99d4ebaa1d38fe08ae5ec2f
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_75b47c62b99d4ebaa1d38fe08ae5ec2f
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ISSN
2632-2153
E-ISSN
2632-2153
DOI
10.1088/2632-2153/ad04ea
