Experimental Data Analysis as a Service for the High-power Laser Facility

The analysis of experimental data is an essential task to any experiment. With the increasing demand on experimental data utilization, methods of experimental data analysis abound, including experimental data visualization, multi-dimensional experimental data evaluation, and so on. In this paper, we propose a service-oriented experimental data analysis framework, which supports and eases the experimental data analysis for the high-power laser experimental facility. The proposed framework relies on three main pillars: 1) data source configuration, 2) analytics algorithm management, 3) data visualization. It provides us fea-sibilities such as extraction and transformation of experimental data, flexible configuration and rapid validation of algorithms, and multi-views presentation and exploration of experimental data.