DeepXS: fast approximation of MSSM electroweak cross sections at NLO
DeepXS: fast approximation of MSSM electroweak cross sections at NLO
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Contents
We present a deep learning solution to the prediction of particle production cross sections over a complicated, high-dimensional parameter space. We demonstrate the applicability by providing state-of-the-art predictions for the production of charginos and neutralinos at the Large Hadron Collider (LHC) at the next-to-leading order in the phenomenol...
Alternative Titles
Full title
DeepXS: fast approximation of MSSM electroweak cross sections at NLO
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_caf0bafd24cb4104af44999556302eea
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_caf0bafd24cb4104af44999556302eea
Other Identifiers
ISSN
1434-6044
E-ISSN
1434-6052
DOI
10.1140/epjc/s10052-019-7562-1
