Author: Nakayoshi, K.
Paper Title Page
MOOB04 Upgrade of the Machine Protection System Toward 1.3 MW Operation of the J-PARC Neutrino Beamline 18
 
  • K. Sakashita, M.L. Friend, K. Nakayoshi
    KEK, Tsukuba, Japan
  • Y. Koshio, S. Yamasu
    Okayama University, Faculty of Science, Okayama City, Japan
 
  The machine protection system (MPS) is one of the essential components to realize safe operation of the J-PARC neutrino beamline, where a high intensity neutrino beam for the T2K long baseline neutrino oscillation experiment is generated by striking 30GeV protons on a graphite target. The proton beam is extracted from the J-PARC main ring proton synchrotron (MR) into the primary beamline. The beamline is currently operated with 485kW MR beam power. The MR beam power is planned to be upgraded to 1.3+ MW. The neutrino production target could be damaged if the high intensity beam hits off-centered on the target, due to non-uniform thermal stress. Therefore, in order to protect the target, it is important to immediately stop the beam when the beam orbit is shifted. A new FPGA-based interlock module, with which the beam profile is calculated in real time, was recently developed and commissioned. This module reads out signals from a titanium-strip-based secondary emission profile monitor (SSEM) which is placed in the primary beamline. An overview of the upgrade plan of the MPS system and the results of an initial evaluation test of the new interlock module will be discussed.  
slides icon Slides MOOB04 [8.367 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2018-MOOB04  
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MOPC18 Development of an Expert System for the High Intensity Neutrino Beam Facility at J-PARC 154
 
  • K. Nakayoshi, Y. Fujii, T. Nakadaira, K. Sakashita
    KEK, Ibaraki, Japan
 
  A high intensity neutrino beam is utilized by a long-baseline neutrino oscillation experiment at J-PARC. To generate a high intensity neutrino beam, a high intensity proton beam is extracted from a 30GeV Main Ring Synchrotron (MR) to the neutrino primary beamline. In the beamline, one mistaken shot can potentially do serious damage to beamline equipment. To avoid such a consequence, many beamline equipment interlocks to stop the beam operation are implemented. Once an interlock is activated, prompt and proper error handling is necessary. We are developing an expert system for prompt and efficient understanding of the status to quickly resume the beam operation. An inference engine is one key component in the expert system. We are developing a Machine-Learning(ML) based inference engine for our expert system. ML is one of the most active research fields in computing, we adopt the technology from it. We report the progress of development of the expert system especially ML based inference engine.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2018-MOPC18  
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