High dimensional parameter tuning for event generators

Understand

Monte Carlo Event Generators are important tools for the understanding of physics at particle colliders like the LHC.

• In order to best predict a wide variety of observables, the optimization of parameters in the Event Generators based on precision data is crucial.
• However, the simultaneous optimization of many parameters is computationally challenging.
• We present an algorithm that allows to tune Monte Carlo Event Generators for high dimensional parameter spaces.