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arXiv · 2011.10736

Maximum performance of strange-jet tagging at hadron colliders

Johannes Erdmann·Olaf Nackenhorst·Sonja Verena Zeißner
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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 $K_S\rightarrow \pi^+ \pi^-$ from charged tracks is considered.

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Johannes Erdmann, Olaf Nackenhorst, Sonja Verena Zeißner. 2020-11-21. Maximum performance of strange-jet tagging at hadron colliders. https://doi.org/10.1088/1748-0221/16/08/p08039

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