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Combining outlier analysis algorithms to identify new physics at the LHC

202155 citationsJournal Articlegreen Open Access

Authors

Melissa van Beekveld · Center for Theoretical Physics

S. Caron · Radboud University Nijmegen

Luc Hendriks · Radboud University Nijmegen

P. Jackson · ARC Centre of Excellence for Dark Matter Particle Physics

Adam Leinweber · ARC Centre of Excellence for Dark Matter Particle Physics

Sydney Otten · Radboud University Nijmegen

Abstract

Contains fulltext : 237441.pdf (Publisher’s version ) (Open Access)

Topics & Keywords

Anomaly Detection Techniques and Applications Particle physics theoretical and experimental studies Computational Physics and Python Applications

UN Sustainable Development Goals

Reduced inequalities

Publication Details

Published in: Radboud Repository (Radboud University)

DOI: 10.1007/jhep09(2021)024

Field-Weighted Citation Impact: 6.58

Combining outlier analysis algorithms to identify new physics at the LHC | Researchclopedia

· ARC Centre of Excellence for Dark Matter Particle Physics

White, M. · Instituto de Física Corpuscular