JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
TY - CONF AU - Wald, A.K. AU - Desch, K. AU - Elsner, D. AU - Proft, D. ED - Zimmermann, Frank ED - Tanaka, Hitoshi ED - Sudmuang, Porntip ED - Klysubun, Prapong ED - Sunwong, Prapaiwan ED - Chanwattana, Thakonwat ED - Petit-Jean-Genaz, Christine ED - Schaa, Volker R.W. TI - New Bunch-by-Bunch Filling Pattern Measuring System at ELSA J2 - Proc. of IPAC2022, Bangkok, Thailand, 12-17 June 2022 CY - Bangkok, Thailand T2 - International Particle Accelerator Conference T3 - 13 LA - english AB - The electron accelerator facility ELSA at the University of Bonn, Germany, can accelerate and store electrons with a final energy from 0.8GeV up to 3.2GeV. To routinely determine the filling pattern in the storage ring, a new measuring system has been developed. For hadron physics experiments the filling pattern, which is influenced by the injection from the pre-accelerating synchrotron, should be as homogeneous as possible. The new measurement system should provide a real-time measurement of the filling pattern, so that the injection can be continuously optimized. Moreover, a position measurement for each individual bunch is provided, from which the two transverse and the longitudinal tunes can be deduced. To measure the bunch-by-bunch intensity and position, the signals of the existing button-type BPMs will be digitized by fast 12-bit ADCs synchronized to the 500MHz ELSA radio frequency. The fast pre-processing and intermediate storage of the data is realized with a 500MHz clocked FPGA and transfers the data to a PC for further processing. First results of measurement system developed in-house will be presented. PB - JACoW Publishing CP - Geneva, Switzerland SP - 244 EP - 246 KW - FPGA KW - electron KW - synchrotron KW - cavity KW - controls DA - 2022/07 PY - 2022 SN - 2673-5490 SN - 978-3-95450-227-1 DO - doi:10.18429/JACoW-IPAC2022-MOPOPT009 UR - https://jacow.org/ipac2022/papers/mopopt009.pdf ER -