Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at √s = 13 TeV with the ATLAS Detector
Date Issued
2024-02
Author(s) USM
Robles Gajardo, C.M
DOI
10.1103/PhysRevLett.132.081801
Abstract
Searches for new resonances are performed using an unsupervised anomaly-detection technique. Events with at least one electron or muon are selected from 140 fb-1 of pp collisions at p ffi s ffi= 13 TeV recorded by ATLAS at the Large Hadron Collider. The a
