An online iterative linear quadratic approach for a satisfactory working point attainment at FERMI
The attainment of a satisfactory operating point is one of the main problems in the tuning of
particle accelerators. These are extremely complex facilities, characterized by the absence …
particle accelerators. These are extremely complex facilities, characterized by the absence …
[PDF][PDF] Adding machine learning to the analysis and optimization toolsets at the light source BESSY II
LV Ramirez, T Mertens, R Mueller… - Proceedings of the …, 2019 - inspirehep.net
Abstract The Helmholtz Association has initiated the implementation of the Data
Management and Analysis concept across its centers in Germany. At Helmholtz-Zentrum …
Management and Analysis concept across its centers in Germany. At Helmholtz-Zentrum …
Feasibility Investigation on Several Reinforcement Learning Techniques to Improve the Performance of the FERMI Free-Electron Laser
N Bruchon - 2021 - arts.units.it
The research carried out in particle accelerator facilities does not concern only particle and
condensed matter physics, although these are the main topics covered in the field. Indeed …
condensed matter physics, although these are the main topics covered in the field. Indeed …
Development of the control system for the vacuum operation and validation of the MVD prototype for the CBM experiment
PL Klaus - 2021 - publikationen.ub.uni-frankfurt.de
The Compressed Baryonic Matter (CBM) Experiment will investigate heavy ion collisions
and reactions at interaction rates of 100 kHz in a targeted energy range of up to 11 AGeV for …
and reactions at interaction rates of 100 kHz in a targeted energy range of up to 11 AGeV for …
[PDF][PDF] Experimental Data Taking and Management: The Upgrade Process at BESSY II and HZB
R Müller, H Görzig, G Hartmann… - … on Accelerator and …, 2024 - accelconf.web.cern.ch
The endeavor of modernizing science data acquisition at BESSY II started 2019. Significant
achievements have been made: the Bluesky software ecosystem is now the accepted …
achievements have been made: the Bluesky software ecosystem is now the accepted …
Reinforcement Learning per il Controllo di Sistemi Dinamici Reali: Applicazioni e Limitazioni
E Salvato - 2022 - arts.units.it
Reinforcement learning (RL) offers the chance to make a system learn control policies to
successfully and autonomously perform specific tasks. It is often applied to classical and …
successfully and autonomously perform specific tasks. It is often applied to classical and …
[PDF][PDF] New Techniques for Operational Control and Performance Optimization@ BESSY II
LV Ramırez, T Birke, D Engel, G Hartmann, V Laux… - indico.cern.ch
Q3PT5R: rdbk Q3P1T8R: rdbk Q3PT3R: rdbk Q3P1T6R: rdbk Q3PT4R: rdbk Q3PD7R: rdbk
Q3PT2R: rdbk UE49IT4R: CIOC: rdbk0 Q3PTR: rdbk Q3P2T1R: rdbk Q3P1T1R: rdbk …
Q3PT2R: rdbk UE49IT4R: CIOC: rdbk0 Q3PTR: rdbk Q3P2T1R: rdbk Q3P1T1R: rdbk …