Machine Learning Seminar
AKBP-Event
Seminar
- Datum:
- Mo, 14.09.2020 14:00 – Di, 15.09.2020 12:00
- Adresse:
- Physikzentrum Bad Honnef
Hauptstr. 5, 53604 Bad Honnef, Germany
Online Participation possible.
- Anmeldung erforderlich | Kostenpflichtig
- Sprache:
- Englisch
- Kontaktperson:
- Prof. Dr. Atoosa Meseck (Vorsitzende AKBP),
- DPG-Vereinigung:
- Arbeitskreis Beschleunigerphysik (AKBP)
Beschreibung
The hybrid seminar on machine learning will not only cover the canceled focus session of the spring meeting 2020, but will go well beyond that and provide an insight into the methods and applications of machine learning in accelerator physics.
In addition, we take the opportunity to award the AKBP Prizes: Horst-Klein-Forschungspreis 2020 and Nachwuchspreis-Beschleunigerphysik 2020.
Participation both online and on site is possible.
Programme:
| Mon. 14.Sep | Name | Title |
| 02:00:00 PM | Sabrina Appel | Optimization of heavy-ion synchrotrons using derivative-free algorithms and machine learning |
| 02:50:00 PM | Luis Vera Ramirez | Towards Reinforcement Learning Based Optimization at the Light Source BESSY II |
| 03:40:00 PM | Elena Fol | Machine Learning for Optics Measurements and Corrections at the LHC |
| 03:52:00 PM | Marius Köppel | Learning to Rank Higgs-Boson candidates |
| 04:05:00 PM | Coffe break | |
| Mon. 14.Sep | Name | Award Session |
| 04:15:00 PM | Atoosa Meseck | Laudation: Horst Klein Research Award |
| 04:30:00 PM | Bernhard Franzke |
30 Years of Precision Experiments with Cooled Exotic Ion Beams in the ESR at GSI/FAIR. |
| 05:00:00 PM | Atoosa Meseck | Laudation: DPG Young Scientist Award for Accelerator Physics |
| 05:15:00 PM | Uwe Niedermayer | Electron Beam Dynamics in Dielectric Laser Accelerators on a Microchip |
| Tue 15.Sep | Name | Title |
| 08:00:00 AM | Frederik van der Veken | Machine Learning at the LHC (anomalies, collimation and beam lifetime) |
| 08:50:00 AM | Riccardo Aliberti | Muon-Pion Separation using Machine Learning at NA62 and BESII |
| 09:40:00 AM | Andrei Ivanov | Physics based Deep Neural Networks for Beam Dynamics |
| Tue 15.Sep | Name | Title |
| 10:15:00 AM | Tobias Boltz | Towards Micro-Bunching Control at Storage Rings with Reinforcement Learning |
| 11:00:00 AM | Pierre Schnizer | Integrating Machine Learning within BESSY II Accelerator Controls |
| 11:30:00 AM | David Meier | Machine Learning on electron gun of BerlinPro |
| 11:57:00 AM | Maximillian Schütte | Collecting Data from the EuXFEL Optical Sync System for Intelligent Algorithms |