Work Package 1 - Monte Carlo and Model Definition

Monte Carlo (MC) methods are powerful tools for everything from modelling the birth and evolution of the universe to performing the numerical integrals needed to calculate the cross sections for particle interactions, and are used extensively in astronomy, nuclear physics and particle physics.

MC calculations allow comparison of theoretical models with the large and complex experimental data sets typically produced by experiments. LIV.DAT students will receive a thorough grounding in MC theory and, through R&D projects in astrophysics, nuclear, accelerator and particle physics, learn about their application in these scientific domains, all of which are linked through the common Big Data challenges behind them.        

The following projects are part of this Work Package.