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Cinema:Bandit: a visualization application for beamline science demonstrated on XFEL shock physics experiments.

Daniel Orban¹, Divya Banesh¹, Cameron Tauxe¹

¹Los Alamos National Laboratory, Los Alamos, NM 87545, USA.

Journal of Synchrotron Radiation

|December 24, 2019

Summary

A new tool, Cinema:Bandit, offers real-time data visualization for shock physics experiments at X-ray light sources. This open-source application aids experimenters in making informed decisions and performing detailed post hoc analysis.

Keywords:

XFEL continuous workflow data visualization database real time

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Area of Science:

Materials Science
Physics
Data Science

Background:

Analyzing complex data from shock physics experiments at X-ray light sources presents significant challenges.
Real-time data exploration is crucial for optimizing experimental parameters and decision-making during beamtime.

Purpose of the Study:

To introduce Cinema:Bandit, an open-source, web-based visualization tool for analyzing shock physics experimental data.
To demonstrate the tool's capability in a continuous workflow for real-time data exploration and post hoc analysis.

Main Methods:

Developed Cinema:Bandit, integrating with experimental workflows to process raw detector data into an aggregated database format.
Utilized parallel coordinates for visualizing and filtering disparate data types, including experimental parameters, line graphs, and images.
Demonstrated the tool on shock-compressed titanium data from the Matter in Extreme Conditions hutch at the Linac Coherent Light Source.

Main Results:

Cinema:Bandit enables real-time visual exploration of aggregated experimental datasets.
The tool effectively visualizes and filters diverse data types, accommodating irregular sampling of experimental parameters.
Successful application on shock physics data demonstrates its utility for informing beamline decisions.

Conclusions:

Cinema:Bandit provides a valuable solution for real-time data analysis and visualization in shock physics experiments.
The tool enhances experimental efficiency and facilitates in-depth data interpretation at X-ray light sources.