Reconstruction of missing resonances combining nearest neighbors regressors and neural network class...
Reconstruction of missing resonances combining nearest neighbors regressors and neural network classifiers
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
Neutrinos, dark matter, and long-lived neutral particles traverse the particle detectors unnoticed, carrying away information about their parent particles and interaction sources needed to reconstruct key variables like resonance peaks in invariant mass distributions. In this work, we show that a
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-nearest neighbors regressor algorithm combi...
Alternative Titles
Full title
Reconstruction of missing resonances combining nearest neighbors regressors and neural network classifiers
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TN_cdi_doaj_primary_oai_doaj_org_article_666db0c9f3014dc6b7ae9921144e00b2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_666db0c9f3014dc6b7ae9921144e00b2
Other Identifiers
ISSN
1434-6052,1434-6044
E-ISSN
1434-6052
DOI
10.1140/epjc/s10052-022-10714-1
