Abschlussarbeiten

Eine Liste aller in unserer Arbeitsgruppe erstellten Bachelor- und Masterarbeiten sowie Dissertationen befindet sich unter diesem Text. Für aktuelle Stellenausschreibungen, folgen Sie bitte diesem Link.

2024

Identifying long-lived particle events using deep neural networks
Bachelor thesis by Mascha Hackmann, April 2023

Inferring the properties of long lived decays in the CMS muon system with deep learning
Bachelor thesis by Tobias Löwe, April 2023

Hadron Shower Simulation with Normalizing Flows
Bachelor thesis by Marius Zander, March 2023

2023

Leveraging pre-trained models for anomaly detection in particle physics
Bachelor thesis by Jovin Drews, December 2023

Generating pion Showers in hadronic calorimeters using point cloud diffusion models
Bachelor thesis by Henning Melosch, October 2023

Symbolic Regression with Active Learning
Bachelor thesis by Frederik Bornemann, September 2023

New anomaly detection algorithms for the CMS Level-1 trigger
Bachelor thesis by Lars Emmrich, May 2023

Evaluation of Evaluation Metrics of Generative Models in High Energy Physics
Bachelor thesis by Jan Leon Schreiber, March 2023

Latent and Data Space Trajectories as a new Tool for Anomaly Detection in Particle Physics
Bachelor thesis by Lennart Kämmle, March 2023

2022

Topics in Generative Modeling of Particle Physics Data
PhD thesis by Sascha Daniel Diefenbacher, December 2022

Enhancing model-agnostic anomaly detection methods with autoencoders
Bachelor thesis by Veronika Kinsvater, December 2022

High-Dimensional Generative Models on Regular Grids
Bachelor thesis by Noah Tettenborn, November 2022

Frechet Distance Evaluation of Generative Models for Calorimeter Shower Generation
Bachelor thesis by Nana-Marie Werther, October 2022

Fast Machine Learning for the Level-1 Trigger of CMS
Master thesis by Philipp Rincke, October 2022

Simulation of High-Granularity Calorimeter Showers Using Normalizing Flows
Master thesis by Imahn Shekhzadeh, September 2022

Search for new long-lived particles with the CMS experiment at √s = 13 TeV
PhD thesis by Melanie Eich, September 2022

Understanding the Sensitivity of Anomaly Detectors
Bachelor thesis by Kristian Warnholz, August 2022

2021

Attention Networks in Particle Physics
Bachelor thesis by Cedric Ewen, October 2021

Semi-supervised learning as a new tool for particle physics analysis
Bachelor thesis by Tore von Schwartz, October 2021

Anomaly detection for long-lived decays in the muon system
Bachelor thesis by Moritz Wohlstein, September 2021

The Blessing of Dimensionality: Event Manifold Dimensionality Estimation for Event Clustering
Bachelor thesis by Malte Jacobsen, September 2021

Statistics of Generative Models in Physics
Master thesis by Daniel Hundhausen, September 2021

Physics application of invertible network architectures
Master thesis by Sven Bollweg, August 2021

2020

Improving Long-Lived Particle Reconstruction in the Calorimeter with Graph Neuronal Networks
Bachelor thesis by Julia Heiken, November 2020

Adversarial Uncertainties of Top Quark Identification
Bachelor thesis by Christian Elsässer, October 2020

Reconstruction of Displaced Vertices from Long-Lived Particle Decays using Graph Neural Networks
Bachelor thesis by Imahn Shekhzadeh, October 2020

Anomaly Detection using Density Estimation for the CMS Experiment
Bachelor thesis by Lukas Judith, September 2020

Automating Machine learning in Particle Physics
Bachelor thesis by Nils Gerber, June 2020

Studying Deep Neural Network (DNN) Architectures for Improving Sensitivity in ttH(bb) Single Lepton Channel
Master thesis by Tobias Lösche, June 2020

New Unfolding Methods using Cycle GANs
Bachelor thesis by Marcel Patsch, February 2020

Deep Capsule Networks for Particle Reconstruction at the LHC
Bachelor thesis by Hermann Frost, February 2020

Anomaly Detection using Autoencoders in Experimental Particle Physics
Master thesis by Tim Weber, January 2020

2019

Latent Space Representations of Calorimeter Data
Bachelor thesis by Ronja vom Schemm, November 2019

Long-Lived Particle Reconstruction with Reinforcement Learning
Bachelor thesis by Philipp Rincke, October 2019

Systematic Uncertainties and Neural Networks
Bachelor thesis by Florian Otterpohl, September 2019

Understanding Network Decisions
Bachelor thesis by Jörn Bach, September 2019

Reconstruction Techniques for Long-Lived Paricles in CMS Calorimeters
Master thesis by Zhiyuan He, August 2019

Deep Learning based Energy Reconstruction for the CALICE AHCAL
Master thesis by Erik Buhmann, July 2019

Better Top Quark Identification with Lorentz Vectors and Deep Learning
Master thesis by Simon Leiss, June 2019

Transfer Learning for Particle Physics
Bachelor thesis by Camilo Daza, April 2019

Verständnis Systematischer Unsicherheiten by Neuronalen Netzwerken in der Physik
Bachelor thesis by Sven Bollweg, January 2019