Speaker
Benjamin Fuks
Description
The ATLAS and CMS collaborations are extensively investigating many
different channels in order to get hints for new physics. Many of these
searches are currently based on Monte Carlo simulations of the signals where
leading-order matrix elements of different partonic multiplicities are
matched to parton showers and merged. More sophisticated differential
theoretical predictions are however always helpful for setting more accurate
exclusion limits, possibly refining the search strategies, and measuring the
model free parameters in case of a discovery. In this talk, I will discuss
how the MadGraph5_aMC@NLO framework can provide a general platform for
computing (differential) observables matching next-to-leading order accurate
predictions to parton showers. This will be illustrated through specific
examples in the context of dark matter simplified models and supersymmetry.
