Sebastian Vetter
Information:
Institute: IAP
Room: 402/114
Phone: +49 721 608 24750
Email: sebastian.vetter@kit.edu
Research:
Machine Learning Applications to Enhance Signal Quality in the XENONnT Experiment
Supervisor: Prof. Dr. Kathrin Valerius
Co-Supervisor: Prof. Dr. Torben Ferber
Publications
| Light Dark Matter Search with 7.8 Tonne-Year of Ionization-Only Data in XENONnT |
Aprile, E. et al, 2026 |
| Development & Characterization of Electrodes for large-scale Xenon Time Projection Chambers |
Elykov, A. et al, 2025 |
| Constraints on Solar Reflected Dark Matter from a combined analysis of XENON1T and XENONnT data |
Aprile, E. et al, 2025 |
| Challenging Spontaneous Quantum Collapse with XENONnT |
Aprile, E. et al, 2025 |
| Radon Removal in XENONnT down to the Solar Neutrino Level |
Aprile, E. et al, 2025 |
| The XLZD Design Book: Towards the Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics |
Aalbers, J. et al, 2024 |
| Neutrinoless Double Beta Decay Sensitivity of the XLZD Rare Event Observatory |
Aalbers, J. et al, 2024 |
| XENONnT WIMP Search: Signal & Background Modeling and Statistical Inference |
Aprile, E. et al, 2024 |
| First Search for Light Dark Matter in the Neutrino Fog with XENONnT |
Aprile, E. et al, 2024 |
| Model-independent searches of new physics in DARWIN with a semi-supervised deep learning pipeline |
Aalbers, J. et al, 2024 |
| The neutron veto of the XENONnT experiment: Results with demineralized water |
Aprile, E. et al, 2024 |
| Low-Energy Nuclear Recoil Calibration of XENONnT with a ^{88}YBe Photoneutron Source |
Aprile, E. et al, 2024 |
| First Indication of Solar ^8B Neutrinos via Coherent Elastic Neutrino-Nucleus Scattering with XENONnT |
Aprile, E. et al, 2024 |
| XENONnT Analysis: Signal Reconstruction, Calibration and Event Selection |
Aprile, E. et al, 2024 |
| Offline tagging of radon-induced backgrounds in XENON1T and applicability to other liquid xenon detectors |
Aprile, E. et al, 2024 |
| Cosmogenic background simulations for the DARWIN observatory at different underground locations |
Adrover, M. et al, 2023 |
| GPU-based optical simulation of the DARWIN detector |
Althueser, L. et al, 2022 |
| A Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics |
Aalbers, J. et al, 2022 |
Conferences and Talks
| Machine Learning based defect detection for large-scale electrodes | DPG Spring Meeting | Dresden | 2023-03-21 |
Abstract |
| Probabilistic Machine Learning for the XENONnT position reconstruction | DPG Spring Meeting | Karlsruhe | 2024-03-07 |
Abstract |
| Probabilistic Position Reconstruction in the XENONnT Experiment | Neutrino Physics and Machine Learning | Zurich | 2024-06-26 |
Slides |
Supervised Theses
| Implementation of different electrode geometries in the DARWIN simulation package |
A. Mulas |
2023-07-08 |
Teaching
| SS 23 |
Moderne Experimentalphysik fuer Lehramtskandidaten |
| WS 23/24 |
Praktikum Moderne Physik |
Annual Work Reports
