This paper presents real-time digital filter algorithms to be applied within dark matter and neutrino measurements. The digital signal processing algorithm implements a trapezoidal pulse-shaper programmed on FPGA at 125 MHz. The real-time filter algorithm enhances the SNR of a digitized signal from a photo detection module (SiPM, cryogenic front-end electronics & 14-bits ADC). The trapezoidal filter upgrades the signal to noise ratio (SNR) from 10.4 to 15.4 with a total increment of 50%. The total on-chip power is 0.198 W.

Real Time Digital Filter for a Front-End Electronics in Dark Matter and Neutrino Measurements / Martinez Rojas, Alejandro D.. - ELETTRONICO. - 332:(2020), pp. 266-271. (Intervento presentato al convegno The 11th International Conference on Electronics, Communications and Networks (CECNet 2020) tenutosi a Seoul (South Korea)) [10.3233/FAIA200791].

Real Time Digital Filter for a Front-End Electronics in Dark Matter and Neutrino Measurements

Alejandro D. Martinez Rojas
2020

Abstract

This paper presents real-time digital filter algorithms to be applied within dark matter and neutrino measurements. The digital signal processing algorithm implements a trapezoidal pulse-shaper programmed on FPGA at 125 MHz. The real-time filter algorithm enhances the SNR of a digitized signal from a photo detection module (SiPM, cryogenic front-end electronics & 14-bits ADC). The trapezoidal filter upgrades the signal to noise ratio (SNR) from 10.4 to 15.4 with a total increment of 50%. The total on-chip power is 0.198 W.
2020
978-1-64368-137-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2854952