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@InProceedings{luo:icalepcs2019-mopha086,
author = {J. Luo and Y. Gao and L. Li and Z. Ni and X. Zhou},
title = {{The Design of Experimental Performance Analysis and Visualization System}},
booktitle = {Proc. ICALEPCS'19},
pages = {409--411},
paper = {MOPHA086},
language = {english},
keywords = {experiment, data-management, data-analysis, database, laser},
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-MOPHA086},
url = {https://jacow.org/icalepcs2019/papers/mopha086.pdf},
note = {https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA086},
abstract = {The analysis of experimental performance is an essential task to any experiment. With the increasing demand on experimental data mining and utilization. methods of experimental data analysis abound, including visualization, multi-dimensional performance evaluation, experimental process modeling, performance prediction, to name but a few. We design and develop an experimental performance analysis and visualization system, consisting of data source configuration component, algorithm management component, and data visualization component. It provides us feasibilities such as experimental data extraction and transformation, algorithm flexible configuration and validation, and multi-views presentation of experimental performance. It will bring great convenience and improvement for the analysis and verification of experimental performance.},
}