The authors propose that optimal measurement and control in high-intensity laser experiments should maximize mutual information about task-relevant parameters, unifying their prior diagnostics and optimization work.
Data-driven science and machine learning methods in laser–plasma physics,
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Information-Optimal Sensing and Control in High-Intensity Laser Experiments
The authors propose that optimal measurement and control in high-intensity laser experiments should maximize mutual information about task-relevant parameters, unifying their prior diagnostics and optimization work.