Thirty Years of Education and Research on Nuclear Many-Body Physics at the ECT*; from traditional Methods to Quantum Computing and Machine Learning

Experimental design

Beam time and compute cycles are expensive!

Bayesian experimental design provides a framework in which experiments can be designed using the best experimental and theoretical information available
The utility function is designed to encode the goals of the experiment and the constraints inherent in carrying it out.
Once the utility function and the possible designs have been specified, the optimal design is simply the scenario that maximizes the expected utility function over the domain of possible designs.