%0 Thesis
%A Gautam, Kunal
%T Precision Measurement of Strange Quark Asymmetry and Monolithic Pixel Sensors for Vertexing at the FCC-ee
%N DESY-THESIS-2025-017
%I University of Brussels and University of Zurich
%V Dissertation
%C Hamburg
%M PUBDB-2025-03896
%M DESY-THESIS-2025-017
%B DESY-THESIS
%P 199
%D 2025
%Z Dissertation, University of Brussels and University of Zurich, 2025
%X Future e+e− colliders, such as the FCC-ee, aim to test the Standard Model to the ultimateprecision. This requires synergistic progress in detector technology and data analysis techniques.This thesis comprehensively presents the interlinked efforts targeting these goals.Jet flavour identification algorithms play a crucial role in maximally exploiting the physicspotential of the FCC-ee, particularly in the Higgs and electroweak sectors. The DeepJet-Transformer algorithm, exploiting a transformer-based neural network that is substantiallyfaster to train than state-of-the-art graph neural networks, combines particle-flow reconstruc-tion with advanced vertex reconstruction and hadron particle identification. Beyond an excellentb- and c-jet discrimination, an s-jet tagging efficiency of 40
%F PUB:(DE-HGF)3 ; PUB:(DE-HGF)11
%9 BookDissertation / PhD Thesis
%R 10.3204/PUBDB-2025-03896
%U https://bib-pubdb1.desy.de/record/637693