  We introduce a new simplified fast detector simulator in the MadAnalysis 5
platform. The Python-like interpreter of the programme has been augmented by
new commands allowing for a detector parametrisation through smearing and
efficiency functions. On run time, an associated C++ code is automatically
generated and executed to produce reconstructed-level events. In addition, we
have extended the MadAnalysis 5 recasting infrastructure to support our
detector emulator, and we provide predefined LHC detector configurations. We
have compared predictions obtained with our approach to those resulting from
the usage of the Delphes 3 software, both for Standard Model processes and a
few new physics signals. Results generally agree to a level of about 10% or
better, the largest differences in the predictions stemming from the different
strategies that are followed to model specific detector effects. Equipped with
these new functionalities, MadAnalysis 5 now offers a new user-friendly way to
include detector effects when analysing collider events, the simulation of the
detector and the analysis being both handled either through a set of intuitive
Python commands or directly within the C++ core of the platform.
