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Maximum performance of strange-jet tagging at hadron colliders

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arxiv 2011.10736 v2 pith:H2Q62UDV submitted 2020-11-21 hep-ex physics.ins-det

Johannes Erdmann , Olaf Nackenhorst , Sonja Verena Zei{ss}ner This is my paper · ORCID
classification hep-exphysics.ins-det
keywords hadronperformancecollidersdetectorsmaximumstrange-jettaggingtruth
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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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