  At the Large Hadron Collider (LHC), the most abundant processes which take
place in proton-proton collisions are the generation of multijet events. These
final states rely heavily on phenomenological models and perturbative
corrections which are not fully understood, and yet for many physics searches
at the LHC, multijet processes are an important background to deal with. It is
therefore imperative that the modelling of multijet processes is better
understood and improved. For this reason, a study has been done with several
state-of-the-art Monte Carlo event generators, and their predictions are tested
against ATLAS data using the Rivet framework. The results display a mix of
agreement and disagreement between the predictions and data, depending on which
variables are studied. Several points for improvement on the modelling of
multijet processes are stated and discussed.
