Speaker
Description
MAIA (Muon Accelerator Instrumented Apparatus) is a detector concept for a 10 TeV muon collider, designed for precision studies of the standard model as well as searches for new physics. Efficient electron reconstruction and identification is essential, as electrons are commonly produced in key processes such as Higgs boson decays. It is difficult to efficiently reconstruct electrons in this environment due to beam induced backgrounds (BIB) from muon decays, and lost electron energy due to bremsstrahlung radiation. This research focuses on developing an optimized electron reconstruction algorithm for MAIA. The goal of this algorithm is to efficiently match calorimeter energy deposits to tracker momentum measurements, while accounting for BIB and energy loss. By optimizing track-cluster matching, we can improve overall electron identification and reconstruction
