Abstract
The successful identification of strange quark jets at the FCC-ee would enable the study of a multitude of largely unexplored processes, including the first ever study of Z->ss production, rare Higgs boson decays and the strange Yukawa coupling, CKM matrix elements via W decays, and BSM physics scenarios such as FCNCs. Due to the challenging nature of distinguishing these medium-mass quarks, strange tagging is a topic that has up to now received considerably less attention than its heavy flavour counterparts, or indeed gluon tagging. A multiclassifier neural network using a transformer-based architecture is coupled with secondary vertexing and a novel implementation of K short reconstruction at the FCC-ee to discriminate strange quark initiated jets. This poster presents a state-of-the-art strange quark tagger at the FCC-ee, with a focus on light quark discrimination at the Z pole.
| Original language | English |
|---|---|
| Number of pages | 1 |
| Publication status | Unpublished - 2 Jun 2022 |
| Event | FCC Week 2022 - Paris, France Duration: 30 May 2022 → 3 Jun 2022 https://indico.cern.ch/event/1064327/ |
Conference
| Conference | FCC Week 2022 |
|---|---|
| Country/Territory | France |
| City | Paris |
| Period | 30/05/22 → 3/06/22 |
| Internet address |
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