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DOI 10.3390/s24165233

Медицинская библиотека · Sensors (Basel, Switzerland) · 2024

High Spatial Resolution Detector System Based on Reconfigurable Dual-FPGA Approach for Coincidence Measurements.

Cautero Marco, Garzetti Fabio, Lusardi Nicola, Sergo Rudi, Stebel Luigi, Costa Andrea, Bonanno Gabriele, Ronconi Enrico, Geraci Angelo, Píš Igor, Magnano Elena, Pedio Maddalena, Cautero Giuseppe

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Аннотация

Time-resolved spectroscopic and electron-ion coincidence techniques are essential to study dynamic processes in materials or chemical compounds. For this type of analysis, it is necessary to have detectors capable of providing, in addition to image-related information, the time of arrival for each individual detected particle ("x, y, time"). The electronics capable of handling such sensors must meet requirements achievable only with time-to-digital converters (TDC) with a resolution on the order of tens of picoseconds and the use of a field-programmable gate array (FPGA) to manage data acquisition and transmission. This study introduces the design and implementation of an innovative TDC based on two FPGAs working symbiotically with different tasks: the first (AMD/Xilinx Artix® 7) directly implements a TDC, aiming for a temporal precision of 12 picoseconds, while the second (Intel Cyclone® 10) manages the acquisition and connectivity with the external world. The TDC has been optimized to operate on eight channels (+ sync) simultaneously but is potentially extendable to a greater number of channels, making it particularly suitable for coincidence measurements where it is necessary to temporally correlate multiple pieces of information from various measurement systems.

Для цитирования: Cautero Marco, Garzetti Fabio, Lusardi Nicola, Sergo Rudi, Stebel Luigi, Costa Andrea, Bonanno Gabriele, Ronconi Enrico, Geraci Angelo, Píš Igor, Magnano Elena, Pedio Maddalena, Cautero Giuseppe. High Spatial Resolution Detector System Based on Reconfigurable Dual-FPGA Approach for Coincidence Measurements.. Sensors (Basel, Switzerland). 2024. DOI: 10.3390/s24165233.
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