Real-time time correlated photon counters for photon number resolving detectors


In this paper, a novel Field Programmable Gate Array (FPGA) based instrument for Time Correlated Photon Counting (TCPC) is reported which takes advantage of the photon number resolving ability of newer single photon detectors technologies, such as silicon photomultipliers (SiPM). Utilizing the received photon number in the formation of the TCPC histogram will enable faster measurements in comparison to Time Correlated Single Photon Counting (TCSPC) as less information is being discarded per excitation pulse. The concept of (TCSPC) and the differences with TCPC are introduced, as the well as the advantages of using TCPC when using a number resolving photodetector such as a SiPM rather than a traditional Single Photon Avalanche Diode (SPAD). The design and performance of the system is reported. An 8-stop TCPC system is presented along with a hardware solution to handle time correlations in real-time on-chip rather than in post processing. A system accuracy of 42ps RMS has been demonstrated.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
Additional Information: Copyright 2020 SPIE. One print or electronic copy may be made for personal use only. Systematic reproduction, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Event Title: Optical Sensing and Detection VI 2020
Event Type: Other
Event Dates: 2020-04-06 - 2020-04-10
Uncontrolled Keywords: LIDAR,Silicon Photomultiplier,Time Correlated Photon Counting,Time-to-digital converter,Electronic, Optical and Magnetic Materials,Condensed Matter Physics,Computer Science Applications,Applied Mathematics,Electrical and Electronic Engineering
ISBN: 9781510634800
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.spi ... 995.short?SSO=1 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2020-04-01
Accepted Date: 2020-01-01
Authors: Sadik, Mala
Ai, Xiao
Lu, Yang
Nock, Richard (ORCID Profile 0000-0001-8384-9621)



Version: Published Version

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