Artificial neural network on-chip and in-pixel implementation towards pulse amplitude measurement

Abstract

We present the design of an in-pixel artificial intelligence (AI) for extraction of an amplitude of a pulse generated in semiconductor detector. The AI is design with traditional multi-level perceptron scheme having 6 layers and the total number of 420 parameters. The implementation shows 0.34% measurement accuracy. The AI block is fed by the 6-bit ADC at 5 MHz sampling rate. Standard front-end is optimized for low-noise pulses carrying 1000–3000 electrons. The methodology was tested using FPGA and results are promising. The design is intended to be fabricated and verified in the prototype solution.