Computational Laboratory for Particles, Astroparticles, and Fundamental Interactions

The course provides an introduction to the tools used for signal extraction from the background and the study of systematic uncertainties for parameter determination in particle and astroparticle physics experiments. It also covers the subsequent comparison with phenomenological models through the calculation of discovery and exclusion limits, using concrete examples related to current and future experiments.

At the end of the course, the student will:
- be able to use simulation tools for the study of fundamental interactions,
- understand techniques for identifying particles reconstructed in simulated events,
- be capable of planning an analysis for signal extraction from the background, with particular attention to the issues and systematic uncertainties related to particle reconstruction and identification,
- be familiar with statistical and data analysis techniques to identify signal events, even those that are sub-dominant compared to the background, or to set upper limits in the case of non-identification,
- know examples of data analysis in current particle and astroparticle physics experiments,
- be able to recognize critical aspects in the design of future experiments.