Emanuel Pfeffer
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Contact information
Institute: Institute of Experimental Particle Physics (ETP) PhD Thesis
Simultaneous cross section measurements of top quark-antiquark pair production with additional heavy flavor jets at the CMS experiment Research focus
- SM tt+heavy flavor cross section measurements at the CMS experiment at CERN. |
Publications
| [1] | 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 [ bib ] | [2] | Inclusive and differential cross section measurements of ttbb production in the lepton+jets channel at √s = 13 TeV | In: JHEP Link [ bib ] | [3] | Study of ttbb and ttW background modelling for ttH analyses (arXiv) Link [ bib ] |
Proceedings
| [1] | Inclusive and differential cross section measurements of ttbb production in the lepton+jets channel at √s = 13 TeV Link [ bib ] |
| [2] | Heavy flavor jet tagging algorithm developments at CMS for HL-LHC Link [ bib ] |
Unreviewed publications
| [1] | Studies on tt+bb production at the CMS experiment. MT, Karlsruhe Institute of Technology (KIT), 2021. Link [ bib ] |
Conferences and Talks (excerpt)
| Graph neural networks on the test bench in HEP applications | Phystat - Statistics meets Machine Learning | Imperial College, 🇬🇧 | Sep 9-12, 2024 | Materials |
| tt+heavy flavor event classification with graph neural networks at the CMS experiment | DPG Spring Meeting | Karlsruhe, 🇩🇪 | Mar 4–8, 2024 | Abstract |
| 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, MI, 🇺🇸 | Sep 24-29, 2023 | Slides |
| Heavy flavor jet tagging algorithm developments for HL-LHC: Latest Particle Transformer performance | CMS BTV | Brussels, 🇧🇪 | Jul 24–26, 2023 | Slides [restricted CERN access] |
| tt+heavy flavor classification at the CMS experiment | DPG Spring Meeting | Dresden, 🇩🇪 | Mar 20–24, 2023 | Abstract |
| Heavy flavor jet tagging performance studies at CMS for High Luminosity LHC | CMS Upgrade days | CERN, 🇨🇭 | Feb 6-8, 2023 | Materials [restricted CERN access] |
| ttbb modelling for ttH analyses at the LHC | 15th Annual Meeting of the Helmholtz Alliance "Physics at the Terascale" | DESY, 🇩🇪 | Nov 29–30, 2022 | Slides |
| 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 | Slides |
| 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 |
| Graph neural network applications in tt+heavy flavor studies at the CMS experiment | DPG Spring Meeting | online | Mar 21–25, 2022 | Abstract |
| 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 | Slides [restricted CERN access] |
| 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 |
Supervised Bachelor/Master theses
| Generating Explanations for Graph Neural Networks for tt+X events at the CMS Experiment | P. Osswald | |
| Feasibility and Reliability Studies of Graph Neural Networks for Multivariate tt+X Event Classification at the CMS Experiment at CERN | Y. Cung | |
| Monte-Carlo-Simulations for tt+X-Events at the CMS-Experiment | S. Lelyakin | |
| Bayesian Optimization of Graph Neural Networks with Hypergraph Inputs in tt + bb Events at the CMS Experiment | C. Wolter | |
| Studien zu Graph Neural Networks in tt + bb-Prozessen am CMS-Experiment [german] | T. Halenke |
Teaching/Tutoring
| Winter term 22/23 | Computers in Physics |
| Summer term 22 | Modern Experimental Physics III |
| Winter term 21/22 | Classical Experimental Physics I |
| Summer term 21 | Computer-based Data Analysis |
Annual work reports
| KSETA annual report 2021 | (restricted PDF) |
| KSETA annual report 2022 | (restricted PDF) |
| KSETA annual report 2023 | (restricted PDF) |