<?xml version="1.0" encoding="UTF-8"?>
<xml>
  <records>
    <record>
       <contributors>
          <authors>
             <author>Schneider, D.</author>
             <author>Arnold, M.</author>
             <author>Bonnes, U.</author>
             <author>Brauch, A.</author>
             <author>Dutine, M.</author>
             <author>Grewe, R.</author>
             <author>Jürgensen, L.E.</author>
             <author>Pietralla, N.</author>
             <author>Schließmann, F.</author>
             <author>Steinhilber, G.</author>
          </authors>
       </contributors>
       <titles>
          <title>
             Development of an Active Beam-Stabilization System for Electrofission Experiments at the S-Dalinac
          </title>
       </titles>
       <publisher>JACoW Publishing</publisher>
       <pub-location>Geneva, Switzerland</pub-location>
		 <isbn>2673-5350</isbn>
		 <isbn>978-3-95450-236-3</isbn>
		 <electronic-resource-num>10.18429/JACoW-IBIC2023-MOP038</electronic-resource-num>
		 <language>English</language>
		 <pages>111-114</pages>
       <keywords>
          <keyword>electron</keyword>
          <keyword>controls</keyword>
          <keyword>linac</keyword>
          <keyword>target</keyword>
          <keyword>experiment</keyword>
       </keywords>
       <work-type>Contribution to a conference proceedings</work-type>
       <dates>
          <year>2023</year>
          <pub-dates>
             <date>2023-12</date>
          </pub-dates>
       </dates>
       <urls>
          <related-urls>
              <url>https://doi.org/10.18429/JACoW-IBIC2023-MOP038</url>
              <url>https://jacow.org/ibic2023/papers/mop038.pdf</url>
          </related-urls>
       </urls>
       <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.
       </abstract>
    </record>
  </records>
</xml>
