Speaker
Description
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 $\tau$ lepton embedding method presents a data-driven method to estimate the background from $\text{Z}\to\tau\tau$ events for Higgs boson analyses in the same final state. $\text{Z}\to\mu\mu$ events recorded by the CMS experiment are selected, the muons are removed from the event and replaced with simulated $\tau$ leptons with the same kinematic properties as the removed muons. The resulting hybrid event provides an improved description the production of jets compared to the simulation of the full proton-proton collision. On this poster the production of these hybrid events is described. The production relies on the resources made available by the bwHPC project.
