Speaker
Description
The MUonE experiment is a proposed fixed-target experiment at the CERN M2 beamline designed to independently measure the hadronic leading order corrections to the muon anomalous magnetic moment ($g-2$). It consists of a high-intensity 160 GeV muon beam impinging on a series of thin targets, accompanied by a silicon tracking system and calorimeter. We report the development of an online tracking and vertexing algorithm to reconstruct elastic muon-electron scattering events at 40 MHz. Online vertex reconstruction will be necessary for the MUonE experiment to reduce the final design data rate from $\mathcal{O}(1 \ \mathrm{TB/s})$ to a manageable level for storage and offline analysis. The vertex reconstruction algorithm employs a Newton-Raphson method for fast iterative minimization. The entire online reconstruction chain is implemented in C++ and synthesized to RTL using High-Level Synthesis (HLS) for deployment on an FPGA.