Abstract:
In high energy physics, a main challenge is the accurate prediction of background
events at a particle detector. These events are usually estimated by simulation.
As an alternative, data-driven methods use observed events to derive a background
prediction and are often less computationally expensive than simulation.
The lepton embedding method presents a data-driven method to estimate the
background from Z ! events for Higgs boson analyses in the same final state.
Z ! μμ events recorded by the CMS experiment are selected, the muons are
removed from the event and replaced with simulated leptons with the same
kinematic properties as the removed muons. The resulting hybrid event provides
an improved description of pile-up and the underlying event compared to the simulation
of the full proton-proton collision. In this paper the production of these
hybrid events used by the CMS collaboration is described. The production relies
on the resources made available by the bwHPC project. The data used for this
purpose correspond to 65 million di-muon events collected in 2017 by CMS.