Development of a real-time FPGA-based CNN trigger operating on full-granularity calorimeter images

We present a real-time field-programmable gate array (FPGA) implementation of a convolutional neural network (CNN) for event classification on full calorimeter images that retain crystal-level shower information. To meet the resource and latency constraints of trigger electronics, the network parame