| Master Theses |
|---|
| Marius Stricker | Crosstalk measurement in the ATLAS electromagnetic calorimeter using muons | 2023-06 |
| Oliver But | Study of the production of a single-top quark in association with a Z-boson using hadronically decaying tau leptons in ATLAS | 2023-05 |
| Richard Baumann | Improvement of the analysis of single top-quark t-channel production using machine learning methods | 2023-05 |
| Mathias Weiß | Improvements on the mass reconstruction of single top quark associated Higgs production at ATLAS analyzing the decay channel Higgs to tau-tau | 2023-04 |
| Gupta Anubhav | Jet Reconstruction and Global Particle Flow in the ATLAS experiment for Run 3 of the LHC | 2022-11 |
| Thiele Simon | Single-top t-channel total production cross-section measurement with ATLAS | 2022-11 |
| Stotko David | A new Reconstruction Algorithm for STYX using the Hough Transform | 2022-11 |
| Vomberg Luka | Machine Learning Techniques for Density Estimation of Top-Quark Production in the ATLAS Detector | 2022-06 |
| Kanhaiya Gupta | Measurement of single top quark production in association with W,Z or Higgs boson in ATLAS | 2022-02 |
| Marvin Schmitz | Fake tau estimation using Monte Carlo Likelihood Techniques in the tHq lep-had channel | 2021-09 |
| Chris Staude | Study of fake tau lepton rates in Higgs and Z Boson decays using advanced machine learning techniques | 2021-06 |
| Florian Kirfel | Application of neural networks for photon identification using the ATLAS detector | 2021-06 |
| Nilima Akolkar | Measurement of differential cross-section of the tZq production | 2020-11 |
| Han Na We | Associated Production of a top quark and a Higgs Boson in pp collisions at 13 TeV using the ATLAS detector | 2020-05 |
| Maxx Richard Rahman | Background estimation in the search for single production of vector-like quarks decaying into W b in p p collisions using a data-driven method at √s = 13 TeV with the ATLAS detector | 2020-01 |
| Chris Boever | Differential cross-section measurement of the tZq process with the ATLAS detector | 2019-11 |
| Christian Kirfel | Hyperparameter Optimisation of an Adversarial Neural Network in the tW channel at 13 TeV with ATLAS | 2019-04 |
| Alexander Craig Johnston | STYX Experiment: Gas Mixture, Simulation and Calibration | 2019-02 |
| Marius Blaut | Non-prompt lepton background estimation for associated production of a top quark and a Z boson in pp collisions at √s=13 TeV at ATLAS | 2018-10 |
| Federico Guillermo Diaz Capriles | Measurement of the Single Top tW-channel inclusive cross-section in the single lepton final state at 13 TeV with ATLAS | 2018-04 |
| Tanja Holm | Determining the jet energy resolution of the ATLAS detectorusing the bisector method | 2018-04 |
| Dorothee Wohlleben | Search for associated production of a single top quark and a Z boson in a dilepton final state with the ATLAS detector | 2017-10 |
| Peter Johannes Falke | Optimisation of the b-jet reconstruction performance in top-quark physics with the ATLAS detector at the LHC | 2016-10 |
| Anjishnu Bandyopadhyay | Statistical methods used in the search for singly produced vector-like quarks using the ATLAS detector | 2016-05 |
| Elena Zarkh | STYX Experiment: Further development | 2015-01 |
| Irina CioarÇŽ | Optimization of the single top-quark production analysis in the Wt channel at ATLAS using kinematic fitting and neural networks | 2014-07 |
| Pienpen Seema | Search for single top-quark production in the Wt-channel with 1 lepton and 2 jets at ATLAS | 2013-04 |
| Nicolas Boeing | Optimization of an Adversarial Neural Network in the tW Dilepton Channel at ATLAS | 0-00 |