Fiona Ellwanger
Information
| Institute | IAP |
Credits: Emily Martins
|
|---|---|---|
| Group | Auger | |
| Building | 425, CN | |
| Room | 110 | |
| Doctorial Project |
Working title: Neutrinos and Photons at the Pierre Auger Observatory and how to find them Supervisor: Dr. Markus Roth, Dr. Darko Veberič Referees: Prof. Dr. Ralph Engel, Prof. Dr. Guido Drexlin Started: March 2023 |
|
| Contact | fiona.ellwanger#kit.edu |
KSETA Work Reports
2023 2024Publications
Unreviewed
Collaboration Internal (GAP) Notes
Conferences and Talks
| Event | Contribution | Location | Date |
|---|---|---|---|
| DPG Conference | Session: Kosmische Strahlung II: Performance of IceTop enhancement with scintillator array | Aachen Deutschland |
2019 |
| DPG Conference | Session: AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz 4: Reconstruction of primary particle energy from data taken by the Surface Detector of the Pierre Auger Observatory using deep neural networks | Heidelberg (Virtuell) Deutschland |
2022 |
| Code des Universums | Multimessenger Astronomie | Karlsruhe Deutschland |
2022 |
| Auger Collaboration Meeting | Deep-Learning based Estimation of the Ultra-High Energy Cosmic Ray Spectrum using the Surface Detector of the Pierre Auger Observatory | Malargüe Argentinien |
2022 |
| DPG Conference | Session: AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz 3: Deep-Learning based Estimation of the Ultra-High Energy Cosmic Ray Spectrum using the Surface Detector of the Pierre Auger Observatory | Dresden Deutschland |
2023 |
| Auger Analysis Meeting | Investigations of a Novel Energy Estimator using Deep Learning for the Surface Detector of the Pierre Auger Observatory | Brüssel Belgien |
2023 |
| Matter and Universe | Estimating the Primary Energy of UHE cosmic ray indiced Particle Showers using Deep Learning for the Surface Detector Array of the Pierre Auger Observatory [Poster prize] | Karlsruhe Deutschland |
2023 |
| 38th International Cosmic Ray Conference | Poster: Cosmic-Ray Physics (Indirect, CRI): Investigations of a Novel Energy Estimator Using Deep Learning for the Surface Detector of the Pierre Auger Observatory [remote] | Nagoya Japan |
2023 |
| Auger Collaboration Meeting | On the effect of (de)thinning for photon induced showers | Malargüe Argentinien |
2023 |
| Auger Collaboration Meeting [remote] | Does the CORSIKA thinning level impact (DNN) observables for photon/hadron discrimination? | Malargüe Argentinien |
2024 |
| DPG Conference | Session: T4 Cosmic rays 1: Investigations of Photon-Hadron Separation at the Pierre Auger Observatory using Monte Carlo Simulations | Karlsruhe Deutschland |
2024 |
| TeVPA | Auger talk: The energy spectrum of ultra-high energy cosmic rays measured using the Pierre Auger Observatory | Chicago USA |
2024 |
| Auger Collaboration Meeting | Searching for ultra-high energy photons using SD1500 | Malargüe Argentinien |
2024 |
| UHECR 2024 | Poster: Investigations of CORSIKA Thinning Levels Suitable for Studies of Photon-Hadron Discrimination at Ultra-High Energies | Malargüe Argentinien |
2024 |
| Auger Collaboration Meeting | Photon Search with Neural Networks and the SD-1500 [remote] | Malargüe Argentinien |
2025 |
| DPG Conference | Session: AKPIK3.2: Searching for Ultra-High Energy Photons applying Machine Learning Methods Using the Surface Detector of the Pierre Auger Observatory | Göttingen Deutschland |
2025 |
| Auger Analysis Meeting | Update on Investigations on Photon Search with Neural Networks for the SD-1500 | L'Aquila Italy |
2025 |
| Auger Analysis Meeting | Towards Understanding Neural Network decisions with Integrated Gradients | L'Aquila Italy |
2025 |
Workshops and Schools
| Event | Location | Date | |
|---|---|---|---|
| ErUM-Data-Hub Active Training Cource Advanced Deep Learning | Meinerzhagen Deutschland |
28.11 - 01.12.2022 | |
| KSETA Plenary Workshop | Poster Session: Investigations of Photon-Hadron Separation at the Pierre Auger Observatory using Monte Carlo Simulations | Wildberg Deutschland |
2024 |
| 23rd International School of Cosmic Ray Astrophysics: Multi-Messenger Astroparticle Physics | Erice Sicily |
20 - 28.07.2024 | |
| Auger Youngster Meeting | Siegen Germany |
4 - 6.09.2024 | |
| Auger Early-Career Masterclass | Malargüe Argentina |
8 - 9.11.2024 | |
| Auger Offline Software Tutorial: Talk: Using ADSTs with python | L'Aquila Italy |
16 - 17.05.2025 |
Bachelor and Master Thesis
| Title | Supervisors | Year |
|---|---|---|
| Capabilities of the KIT/DESY Scintillator station at the South Pole | Prof. Dr. Ralph Engel, Dr. Andreas Haungs |
2019 |
| Deep-Learning based Estimation of the Ultra-High Energy Cosmic Ray Spectrum using the Surface Detector of the Pierre Auger Observatory | Prof. Dr. Ralph Engel, Dr. Markus Roth |
2022 |
KSETA Topical Courses
| Date | Course | Speaker |
|---|---|---|
| Sep 22, 25 2023 | Selected Topics on Instrumentation for Particle and Astroparticle Physics | Elena Aprile (Columbia University, USA) |
| Sep 19, 20, 22 2023 | Medical Physics in Radiation Therapy | Niklas Wahl (DKFZ), Tim Gehrke (DKFZ), Oliver Jäkel (DKFZ) |
| Apr 20 – Jul 20 2023 | Astroparticle Physics II: Gamma-Ray Astronomy and Neutrinos | Darko Veberič (KIT) |
| Feb 19, 20 2024 | The Standard Model Effective Field Theory: theory and phenomenological applications | Ilaria Brivio (University of Bologna) |
| Feb 20, 21 2024 | Dynamics of spacetime: gravitational waves and cosmology | Bjoern Malte Schaefer (Uni. of Heidelberg) |
| Feb 29, Mär 1 2024 | Acceleration and transport of galactic cosmic rays | Phillipp Mertsch (RWTH Aachen) |
| Jun 16-24 2025 | Bayesian Machine Learning for Scientific Research | Prof. Dr. Ezequiel Alvarez (UNSAM) |
Teaching and Assistance
| WS23/24 | Rechnernutzung für Physiker |
| SS24 | Computergestützte Datenauswertung |
| 06/23 - 06/24 | Supervising master student Daniel Rech: Classical and Machine Learning Approaches for Determination of the Energies of Ultra-High-Energy Photons using the Surface Detector of the Pierre Auger Observatory |
| SS25 | Computergestützte Datenauswertung |
Credits: Emily Martins