Maximum performance of strange-jet tagging at hadron colliders. (13th August 2021)

• Record Type: Journal Article
• Authors: Erdmann, J.; Nackenhorst, O.; Zeißner, S.V.
• Is Part Of: Journal of instrumentation. Volume 16:Number 8(2021)
• Publication Date: 2021-08-13
• Subjects: Analysis and statistical methods -- Data processing methods -- Particle identification methods; Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/16/08/P08039
• Languages: English
• ISSNs: 1748-0221

Abstract

Abstract: The maximum achievable performance of strange-jet tagging at hadron colliders and the loss in performance in different detector designs is estimated based on simulated truth jets from strange-quark and down-quark hadronisation. Both jet types are classified with a recurrent neural network using long short-term memory units, at first using all available truth particles and then applying selections to study the impacts of ideal tracking detectors, Cherenkov detectors, and calorimeters. Additionally, a manual reconstruction of strange hadron decays such as KS → π + π - from charged tracks is considered.