Emanuel Pfeffer
Information
Institute: Institute of Experimental Particle Physics (ETP)
Room: CN 401 / R. 406
Phone: +49 721 608 23819
Email: emanuel.pfeffer@kit.edu
PhD Thesis
PhD Thesis
Topic: tt+X production at the CMS experiment
Prof. Dr. Ulrich Husemann | Prof. Dr. Thomas Müller
Research focus
Research focus
High energy top quark physics at the
CMS Experiment at
CERN. SM tt+heavy flavor cross section measurements. Artificial Intelligence developments for jet and event identification. Heavy flavor jet tagging algorithms.
Publications
Publications
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[1]
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A case study of sending graph neural networks back to the test bench for applications in high-energy particle physics | In: Computing and Software for Big Science 8, 13 (2024) Link
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[3]
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Inclusive and differential cross section measurements of ttbb production in the lepton+jets channel at √s = 13 TeV | In: JHEP Link
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[3]
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Study of ttbb and ttW background modelling for ttH analyses (arXiv) Link
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Proceedings
Proceedings
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[1]
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Inclusive and differential cross section measurements of ttbb production in the lepton+jets channel at √s = 13 TeV Link
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[2]
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Heavy flavor jet tagging algorithm developments at CMS for HL-LHC Link
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Unreviewed publications
publications-UNreviewed
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[1]
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Studies on tt+bb production at the CMS experiment. MT, Karlsruhe Institute of Technology (KIT), 2021. Link
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Conferences and Talks (excerpt)
Inclusive and differential cross section measurements of ttbb production in the lepton+jets channel at √s = 13 TeV | 16th International Workshop on Top Quark Physics | Traverse City, Michigan, USA | Sep 24-29, 2023 Slides
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tt+heavy flavor classification at the CMS experiment | DPG Spring Meeting | Dresden | Mar 20–24, 2023 Abstract
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Heavy flavor jet tagging performance studies at CMS for High Luminosity LHC | CMS Upgrade days | CERN | Feb 6-8, 2023 Poster [restricted CERN access]
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ttbb modelling for ttH analyses at the LHC | 15th Annual Meeting of the Helmholtz Alliance "Physics at the Terascale" | DESY | Nov 29–30, 2022 Talk
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Status on measurements of ttH(H→bb) and ttbb at ATLAS + CMS | Modelling of the ttbb process at the LHC in light of ttH measurements | CERN | Jul 5, 2022 Talk
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Heavy flavor jet tagging algorithm developments at CMS for HL-LHC | 10th Edition of the Large Hadron Collider Physics Conference | online | May 16–20, 2022 Poster, Proceedings
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Graph neural network applications in tt+heavy flavor studies at the CMS experiment | DPG Spring Meeting | online | Mar 21–25, 2022 Abstract
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Jet-assignments of the additional b-jets in the tt+bb lepton+jets channel using deep neural networks and graph neural networks | FSP CMS Workshop | online | Mar 22–24, 2021 Talk [restricted CERN access]
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Assignment methods for b jets in tt+bb processes in the lepton+jets channel at the CMS experiment | DPG Spring Meeting | online | Mar 15–19, 2021 Abstract
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Supervised Bachelor/Master theses
| Generating Explanations for Graph Neural Networks for tt+X events at the CMS Experiment |
P. Osswald |
PDF |
| Feasibility and Reliability Studies of Graph Neural Networks for Multivariate tt+X Event Classification at the CMS Experiment at CERN |
Y. Cung |
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| Monte-Carlo-Simulations for tt+X-Events at the CMS-Experiment |
S. Lelyakin |
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| Bayesian Optimization of Graph Neural Networks with Hypergraph Inputs in tt + bb Events at the CMS Experiment |
C. Wolter |
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| Studien zu Graph Neural Networks in tt + bb-Prozessen am CMS-Experiment [german] |
T. Halenke |
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Teaching/Tutoring
| WS 22/23 |
Computers in Physics |
| SS 22 |
Modern Experimental Physics III |
| WS 21/22 |
Classical Experimental Physics I |
| SS 21 |
Computer-based Data Analysis |
Annual work reports
