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TY - CONF AU - Mariette, Y. AU - Alves, F.S. AU - Bertrand, Q. AU - Cichalewski, W. AU - Dolenc Kittelmann, I. AU - Gougnaud, F. AU - Jabłoński, G.W. AU - Jałmużna, W. AU - Joannem, T.J. AU - Kiełbik, R. AU - Nadot, V. AU - Papaevangelou, T. AU - Segui, L. ED - White, Karen S. ED - Brown, Kevin A. ED - Dyer, Philip S. ED - Schaa, Volker RW TI - New Neutron Sensitive Beam Loss Monitor (nBLM) J2 - Proc. of ICALEPCS2019, New York, NY, USA, 05-11 October 2019 CY - New York, NY, USA T2 - International Conference on Accelerator and Large Experimental Physics Control Systems T3 - 17 LA - english AB - The beam loss detection is of the utmost importance for accelerator safety. At CEA, we are closely collaborating with ESS and DMCS on development of ESS nBLM. The system is based on Micromegas* gaseous detector sensitives to fast neutrons produced when beam particles hit the accelerator materials. This detector has powerful features: reliable neutron detection and fast time response. The nBLM control system provides slow monitoring, fast security based on neutron counting and post mortem data. It is fully handled by EPICS, which drives 3 different subsystems: a Siemens PLC regulates the gas line, a CAEN crate controls low and high voltages, and a MTCA system based on IOxOS boards is in charge of the fast data processing for 16 detectors. The detector signal is digitized by the 250 Ms/s ADC, which is further processed by the firmware developed by DMCS and finally retrieved and sent to EPICS network. For other accelerator projects, we are designing nBLM system close to ESS nBLM one. In order to be able to sustain the full control system, we are developing the firmware and the driver. This paper summarizes CEA’s work on the nBLM control system for the ESS and other accelerators. PB - JACoW Publishing CP - Geneva, Switzerland SP - 137 EP - 142 KW - neutron KW - detector KW - controls KW - EPICS KW - PLC DA - 2020/08 PY - 2020 SN - 2226-0358 SN - 978-3-95450-209-7 DO - doi:10.18429/JACoW-ICALEPCS2019-MOMPL008 UR - https://jacow.org/icalepcs2019/papers/mompl008.pdf ER -