Class Imbalance Techniques for High Energy Physics

Abstract

A common problem in a high energy physics experiment is extracting a signal from a much larger background. Posed as a classification task, there is said to be an imbalance in the number of samples belonging to the signal class versus the number of samples from the background class. In this work we provide a brief overview of class imbalance techniques in a high energy physics setting. Two case studies are presented: (1) the measurement of the longitudinal polarization fraction in same-sign $WW$ scattering, and (2) the decay of the Higgs boson to charm-quark pairs.

v2: 22 pages, 4 figures, 3 tables, matches journal version

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• Machine Learning Techniques for Intermediate Mass Gap Lepton Partner Searches at the Large Hadron Collider
• Pulling the Higgs and Top needles from the jet stack with Feature Extended Supervised Tagging