AI4NP_detector-opt (Detector Design Optimization)
The folder "lectures" contains the slides:
1st hour: Introduction to Detector Design with Artificial Intelligence, Bayesian Optimization, the EIC dual-RICH example; real-world applications.
(intro to Exercise 1)
2nd hour: Introduction to Multi-Objective Optimization; Evolutionary Optimization and Genetic Algorithms.
3rd hour: Pareto Front, NSGA-II, Decision Making; real-world applications.
(intro to Exercises 2,3)
4th hour: Hands-on session: Exercises 1-3 and Discussion of Solutions.
For the exercises we will use colab:
Cristiano Fanelli, firstname.lastname@example.org