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].
Titolo: | Real Time Digital Filter for a Front-End Electronics in Dark Matter and Neutrino Measurements | |
Autori: | ||
Data di pubblicazione: | 2020 | |
Abstract: | This paper presents real-time digital filter algorithms to be applied within dark matter and neut...rino 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. | |
ISBN: | 978-1-64368-137-5 | |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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iospressbookarticle_latex-4.pdf | 1. Preprint / submitted version [pre- review] | PUBBLICO - Tutti i diritti riservati | Visibile a tuttiVisualizza/Apri | |
FAIA-332-FAIA200791.pdf | 2a Post-print versione editoriale / Version of Record | ![]() | Visibile a tuttiVisualizza/Apri |
http://hdl.handle.net/11583/2854952