Speaker
Description
Central Drift Chamber in the Belle II experiment is one of the charged tracking device for not only offline but also real-time trigger systems. In the operation so far, we observe an issue of cross-talk noise in the Front-End Electronics device, where a bunch of noise wire hits happen in nearby regions. This issue causes fake tracks in hardware trigger and also increases the processing loading in high-level trigger. We perform a study of implementing small-scale ML in the FPGA of Front-End Electronics for each of the wires to reduce such kind of noise. Not only the power of separation, but also the resource usage in FPGA is the main challenge in the design, since it is expected to have ML for each of the wires within a relatively small FPGA. We will report about progress of development, the plan for real deployment and the validation with Belle II system.
