JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
@inproceedings{schneider:ibic2023-mop038,
author = {D. Schneider and M. Arnold and U. Bonnes and A. Brauch and M. Dutine and R. Grewe and L.E. Jürgensen and N. Pietralla and F. Schließmann and G. Steinhilber},
% author = {D. Schneider and M. Arnold and U. Bonnes and A. Brauch and M. Dutine and R. Grewe and others},
% author = {D. Schneider and others},
title = {{Development of an Active Beam-Stabilization System for Electrofission Experiments at the S-Dalinac}},
% booktitle = {Proc. IBIC'23},
booktitle = {Proc. 12th Int. Beam Instrum. Conf. (IBIC'23)},
eventdate = {2023-09-10/2023-09-14},
pages = {111--114},
paper = {MOP038},
language = {english},
keywords = {electron, controls, linac, target, experiment},
venue = {Saskatoon, Canada},
series = {International Beam Instrumentation Conference},
number = {12},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {12},
year = {2023},
issn = {2673-5350},
isbn = {978-3-95450-236-3},
doi = {10.18429/JACoW-IBIC2023-MOP038},
url = {https://jacow.org/ibic2023/papers/mop038.pdf},
abstract = {{The r-process fission cycle terminates the natural synthesis of heavy elements in binary neutron-star mergers. Fission processes of transuranium nuclides will be studied in electrofission reactions at the S-DALINAC*. Due to the minuscule fissile target, the experimental setup requires an active electron-beam-stabilization system with high accuracy and a beam position resolution in the submillimeter range. In this contribution, requirements and concepts of this system regarding beam-diagnostic elements, feedback control and readout electronics are presented. The usage of a beam position monitor cavity and optical transition radiation targets to monitor the required beam parameters will be discussed in detail. Additionally, various measurements performed at the S-DALINAC to assess requirements and limits for the beam-stabilization system will be presented. Finally, the option of using advanced machine learning methods such as neural networks and agent-based reinforcement learning will be discussed.}},
}