A LIF temporal-coincidence encoder plus distributed SNN classifies ePIC dRICH crossings as Signal+Noise vs Noise-Only at TPR>94% and TNR≥80% on simulation, with a 1.7 MHz FPGA sub-sector demo.
Rossi et al.,Online AI-based distributed data reduction for the dual- radiator RICH detector in the ePIC experiment, Nucl
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Online Data Reduction with Spiking Neural Networks: A Temporal-Coincidence Encoder and Distributed SNN for the ePIC dRICH Detector
A LIF temporal-coincidence encoder plus distributed SNN classifies ePIC dRICH crossings as Signal+Noise vs Noise-Only at TPR>94% and TNR≥80% on simulation, with a 1.7 MHz FPGA sub-sector demo.