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What is Mass-Unspecific Classifiers for Particle Searches about?

This document presents a multivariate method for searching new particles across a wide mass range, utilizing mass-unspecific classifiers (µNN and µBDT) that correlate signal and background features with the mass scale. The classifiers are trained on a balanced sample of events and demonstrate performance comparable to mass-specific classifiers, particularly in distinguishing between signal and background at different mass scales. The study focuses on the single production of a vector-like quark at the HL-LH

Author

Zoky Be Diplaoma

Language

EN