Combining outlier analysis algorithms to identify new physics at the LHC

Combining outlier analysis algorithms to identify new physics at the LHC

Abstract The lack of evidence for new physics at the Large Hadron Collider so far has prompted the development of model-independent search techniques. In this study, we compare the anomaly scores of a variety of anomaly detection techniques: an isolation forest, a Gaussian mixture model, a static au...

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Bibliographic Details
Main Authors: Melissa van Beekveld, Sascha Caron, Luc Hendriks, Paul Jackson, Adam Leinweber, Sydney Otten, Riley Patrick, Roberto Ruiz de Austri, Marco Santoni, Martin White
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:Journal of High Energy Physics
Subjects:
Phenomenological Models
Supersymmetry Phenomenology
Online Access:https://doi.org/10.1007/JHEP09(2021)024

Internet

https://doi.org/10.1007/JHEP09(2021)024

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