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Journal Articles

Operation status of J-PARC timing system and future plan

Kamikubota, Norihiko*; Kikuzawa, Nobuhiro; Tamura, Fumihiko; Yamamoto, Noboru*

Proceedings of 15th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS 2015) (Internet), p.988 - 991, 2016/01

The beam commissioning of J-PARC started in November, 2006. Since then, the timing system of J-PARC accelerator complex has contributed stable beam operations of three accelerators: a 400-MeV linac (LI), a 3-GeV rapid cycling synchrotron (RCS), and a 50-GeV synchrotron (MR). The timing system handles two different repetition cycles: 25 Hz for LI and RCS, and 2.48-6.00 sec. for MR (MR cycle). In addition, the timing system is capable to provide beams to two different experimental facilities in single MR cycle: Material and Life Science Experimental Facility (MLF) and Neutrino Experimental Facility (NU), or, MLF and Hadron Experimental Facility (HD). Recently, a plan to introduce a new facility, Accelerator-Driven Transmutation Experimental Facility (ADS), around 2018, has been discussed. This paper reviews the 8-year operation experience of the J-PARC timing system, followed by a present perspective of upgrade studies.

Journal Articles

Development of the J-PARC time-series data archiver using a distributed database system, 2

Kikuzawa, Nobuhiro; Ikeda, Hiroshi; Kato, Yuko; Yoshii, Akinobu*

Proceedings of 15th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS 2015) (Internet), p.818 - 821, 2016/00

J-PARC (Japan Proton Accelerator Research Complex) consists of much equipment. In Linac and 3 GeV rapid cycling synchrotron ring (RCS), the data of over the 64,000 EPICS records for these equipment has been collected. The Data volume will be about 10 TB in 2020. The data have been being stored by a Relational Data Base (RDB) system using PostgreSQL, but it is not enough in availability, performance, and capability to increase of data volume flexibility. Hadoop/HBase, which is known as a distributed, scalable and big data store, has been proposed for our next-generation archive system to solve these problems. The archiving system was built and verified about data transition or database utilization. This report shows the result of the modification of the archive system.

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