%0 Conference Paper
%A Blekman, Freya
%A Gautam, Kunal
%A Canelli, Florencia
%A Ilg, Armin
%A Plörer, Eduardo
%A Moor, Alexandre de
%T Strange jet tagging at the FCC-ee using a transformer NN architecture and K short reconstruction
%M PUBDB-2022-07965
%D 2022
%X 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.
%B Future Circular Collider week 2022
%C 30 May 2022 - 3 Jun 2022, Paris (France)
Y2 30 May 2022 - 3 Jun 2022
M2 Paris, France
%F PUB:(DE-HGF)24
%9 Poster
%U https://bib-pubdb1.desy.de/record/490735