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@InProceedings{airiau:icalepcs2019-thcpl04,
author = {J-P. Airiau and V. Denis and P. Fourtillan and C. Lacombe and S. Vermersch},
title = {{SCIBORG: Analyzing and Monitoring LMJ Facility Health and Performance Indicators}},
booktitle = {Proc. ICALEPCS'19},
pages = {1597--1600},
paper = {THCPL04},
language = {english},
keywords = {software, controls, database, laser, monitoring},
venue = {New York, NY, USA},
series = {International Conference on Accelerator and Large Experimental Physics Control Systems},
number = {17},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {08},
year = {2020},
issn = {2226-0358},
isbn = {978-3-95450-209-7},
doi = {10.18429/JACoW-ICALEPCS2019-THCPL04},
url = {https://jacow.org/icalepcs2019/papers/thcpl04.pdf},
note = {https://doi.org/10.18429/JACoW-ICALEPCS2019-THCPL04},
abstract = {The Laser MegaJoule (LMJ) is a 176-beam laser facility, located at the CEA CESTA laboratory near Bordeaux (France). It is designed to deliver about 1.4 MJ of energy to targets, for high energy density physics experiments, including fusion experiments. It operates, since June 2018, 5 of the 22 bundles expected in the final configuration. Monitoring system health and performance of such a facility is essential to maintain high operational availability. SCIBORG is the first step of a larger software that will collect in one tool all the facility parameters. Nowadays SCIBORG imports experiment setup and results, alignment and PAM* control command parameters. It is designed to perform data analysis (temporal/crossed) and implements monitoring features (dashboard). This paper gives a first user feedback and the milestones for the full spectrum system.},
}