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Proceedings Paper

Development of a high-performance multichannel system for time-correlated single photon counting
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Paper Abstract

Time-Correlated Single Photon Counting (TCSPC) is one of the most effective techniques for measuring weak and fast optical signals. It outperforms traditional “analog” techniques due to its high sensitivity along with high temporal resolution. Despite those significant advantages, a main drawback still exists, which is related to the long acquisition time needed to perform a measurement. In past years many TCSPC systems have been developed with higher and higher number of channels, aimed to dealing with that limitation. Nevertheless, modern systems suffer from a strong trade-off between parallelism level and performance: the higher the number of channels the poorer the performance. In this work we present the design of a 32x32 TCSPC system meant for overtaking the existing trade-off. To this aim different technologies has been employed, to get the best performance both from detectors and sensing circuits. The exploitation of different technologies will be enabled by Through Silicon Vias (TSVs) which will be investigated as a possible solution for connecting the detectors to the sensing circuits. When dealing with a high number of channels, the count rate is inevitably set by the affordable throughput to the external PC. We targeted a throughput of 10Gb/s, which is beyond the state of the art, and designed the number of TCSPC channels accordingly. A dynamic-routing logic will connect the detectors to the lower number of acquisition chains.

Paper Details

Date Published: 15 May 2017
PDF: 9 pages
Proc. SPIE 10229, Photon Counting Applications 2017, 102290D (15 May 2017); doi: 10.1117/12.2265661
Show Author Affiliations
P. Peronio, Politecnico di Milano (Italy)
A. Cominelli, Politecnico di Milano (Italy)
G. Acconcia, Politecnico di Milano (Italy)
I. Rech, Politecnico di Milano (Italy)
M. Ghioni, Politecnico di Milano (Italy)

Published in SPIE Proceedings Vol. 10229:
Photon Counting Applications 2017
Ivan Prochazka; Roman Sobolewski; Ralph B. James, Editor(s)

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