TY  - THES
AU  - Ploerer, Eduardo
TI  - From Jets to Pixels: Flavour Tagging and Monolithic Pixel Sensors at the FCC-ee
IS  - DESY-THESIS-2025-016
PB  - University of Brussels and University of Zurich
VL  - Dissertation
CY  - Hamburg
M1  - PUBDB-2025-03895
M1  - DESY-THESIS-2025-016
T2  - DESY-THESIS
SP  - 203
PY  - 2025
N1  - Dissertation, University of Brussels and University of Zurich, 2025
AB  - The FCC-ee is the first stage of a two stage project which would envision a 92 km tunnelbeing used for an electron-positron collider experiment starting around 2045, and a proton-proton collider in the 2070’s. The FCC-ee offers unprecedented precision tests of the StandardModel, owing to its clean leptonic collision environment and exquisite luminosity. The preciseidentification of decay products at future colliders is instrumental to the exploitation of the fullphysics potential. In this thesis two facets of this problem are explored: jet flavour tagging andcharged particle tracking.Jet flavour tagging describes the algorithmic identification of the initiating parton fromhadronic decays. The prospect of identifying strange quark jets has emerged as a promisingavenue to study a multitude of largely unexplored processes, including Z → s¯s production andrare Higgs boson decays. DeepJetTransformer is a transformer-based multiclassifier neural net-work developed by the CMS jet tagging team at the VUB, achieving state-of-the-art performancewhile being relatively lightweight. This thesis combines DeepJetTransformer with secondary ver-texing and a novel implementation of K-short reconstruction at the FCC-ee to identify strangejets. Through the inclusion of different levels of K±/π± discrimination, strange tagging efficien-cies ranging from 31.6
LB  - PUB:(DE-HGF)3 ; PUB:(DE-HGF)11
DO  - DOI:10.3204/PUBDB-2025-03895
UR  - https://bib-pubdb1.desy.de/record/637692
ER  -