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RIS citation export for THPV036: Laser Driver State Estimation Oriented Data Governance

AU  - Luo, J.
AU  - Li, L.
AU  - Ni, Z.
AU  - Zhou, X.
ED  - Furukawa, Kazuro
ED  - Yan, Yingbing
ED  - Leng, Yongbin
ED  - Chen, Zhichu
ED  - Schaa, Volker R.W.
TI  - Laser Driver State Estimation Oriented Data Governance
J2  - Proc. of ICALEPCS2021, Shanghai, China, 14-22 October 2021
CY  - Shanghai, China
T2  - International Conference on Accelerator and Large Experimental Physics Control Systems
T3  - 18
LA  - english
AB  - Laser driver state estimation is an important task dur-ing the operation process for the high-power laser facility, by utilizing measured data to analyze experiment results and laser driver performances. It involves complicated data processing jobs, including data extraction, data cleaning, data fusion, data visualization and so on. Data governance aims to improve the efficiency and quality of data analysis for laser driver state estimation, which fo-cuses on 4 aspects ’ data specification, data cleaning, data exchange, and data integration. The achievements of data governance contribute to not only laser driver state estimation, but also other experimental data analy-sis applications.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 942
EP  - 946
KW  - experiment
KW  - laser
KW  - database
KW  - data-analysis
KW  - data-management
DA  - 2022/03
PY  - 2022
SN  - 2226-0358
SN  - 978-3-95450-221-9
DO  - doi:10.18429/JACoW-ICALEPCS2021-THPV036
UR  - https://jacow.org/icalepcs2021/papers/thpv036.pdf
ER  -