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MOPC18 |
Development of an Expert System for the High Intensity Neutrino Beam Facility at J-PARC |
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- K. Nakayoshi, Y. Fujii, T. Nakadaira, K. Sakashita
KEK, Ibaraki, Japan
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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.
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DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-IBIC2018-MOPC18
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About • |
paper received ※ 05 September 2018 paper accepted ※ 12 September 2018 issue date ※ 29 January 2019 |
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