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Experimental characterization of after-pulsing probability in InGaAs/InP-based single-photon avalanche photodiodes
Abdallah Karmalawi1,2,3, Sun Do Lim1, Dong-Hoon Lee1,2
1Division of Physical Metrology, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea.
Researchers developed a new automated tool to measure after-pulsing, a common type of noise in single-photon detectors. By replacing manual data review with a precise algorithm, this system quickly maps how different operating settings affect detector performance. The findings show that increasing dead time and using gated operation significantly lower noise levels, which helps improve technologies like quantum communication and LiDAR.
Area of Science:
- Quantum optics and after-pulsing probability measurement techniques
- Semiconductor device physics and photonics engineering
Background:
No prior work had resolved the challenge of subjective, manual analysis for characterizing noise in single-photon avalanche diodes. Prior research has shown that after-pulsing significantly degrades the performance of these sensitive detectors. That uncertainty drove the need for a more robust and objective measurement approach. It was already known that detector settings like dead time influence the frequency of these correlated events. This gap motivated the development of a system capable of separating noise from signal automatically. Previous methods often required hours of manual labor to process inter-arrival time histograms. Such limitations hindered the rapid optimization of detectors for high-precision applications. Scientists required a faster, more reliable way to map these noise characteristics across various operational modes.
Purpose Of The Study:
The aim of this study is to present an automated, software-driven instrument for the rapid and precise characterization of after-pulsing probability in single-photon avalanche diodes. This research addresses the limitations of subjective manual analysis in evaluating detector noise. The authors seek to replace traditional, time-consuming methods with a robust algorithm capable of separating correlated after-pulses from uncorrelated noise. By mapping noise as a function of dead time and detection efficiency, the team provides a systematic approach to device evaluation. The motivation stems from the need for more efficient and accurate testing of commercial detectors. Such improvements are vital for optimizing hardware used in quantum communications, LiDAR, and time-resolved spectroscopy. The study explores how different operational modes, specifically free-running and gated, influence detector performance. Ultimately, the researchers intend to provide a tool that enables data-driven optimization of these sensitive components.
Main Methods:
Review approach involved the development of an automated, software-driven instrument designed for rapid characterization of detector noise. The design replaces manual interpretation with a robust algorithm that processes inter-arrival time histograms. This approach systematically maps noise as a function of dead time and detection efficiency. The team evaluated commercial devices in both free-running and gated operational modes. The methodology focuses on achieving high measurement repeatability while significantly reducing the time required for data processing. Researchers utilized this tool to perform comprehensive testing across a wide range of operational parameters. The approach ensures that the resulting data are objective and suitable for precise device optimization. This systematic framework allows for the efficient comparison of different detector configurations under varied conditions.
Main Results:
Key findings from the literature indicate that after-pulsing probability decreases significantly as dead time increases. For the ID210 detector at 10% efficiency, the probability drops from 12.8% to 3.2% when dead time extends from 1 to 20 microseconds. Gated operation provides a further reduction in noise, reaching 0.8% at the same efficiency level. This represents a fourfold improvement compared to free-running operation. The instrument achieves measurement repeatability better than 1% across the tested range. Analysis time is reduced from hours to minutes using this automated system. The data map covers dead times between 1 and 80 microseconds and efficiencies from 2.5% to 25%. These results demonstrate the effectiveness of the algorithm in separating correlated events from uncorrelated noise.
Conclusions:
The authors suggest that their automated instrument provides a reliable way to characterize noise in single-photon avalanche diodes. Synthesis and implications indicate that increasing dead time effectively lowers the probability of after-pulsing events. The researchers propose that gated operation offers a superior method for minimizing noise compared to free-running modes. Their data demonstrate a fourfold improvement in performance when switching to gated operation at specific efficiency levels. The findings imply that this tool streamlines the optimization process for detectors used in quantum communications and LiDAR. The team concludes that measurement repeatability remains better than one percent with this new system. This approach transforms analysis time from hours into minutes, facilitating faster device testing. The study confirms that systematic mapping of operational parameters is vital for enhancing detector sensitivity in diverse fields.
Frequently Asked Questions
The researchers propose that after-pulsing probability is determined by separating correlated pulses from uncorrelated noise within inter-arrival time histograms. By applying a robust algorithm, the system identifies these events, showing that increasing dead time from 1 to 20 microseconds reduces the probability from 12.8% to 3.2%.
The ID210 detector serves as the primary component for testing. This specific model allows for the systematic mapping of performance metrics, such as detection efficiency and dead time, across both free-running and gated operational modes to evaluate noise reduction capabilities.
Technical necessity dictates that the system must distinguish between correlated after-pulses and uncorrelated background noise. This separation is required to ensure accurate characterization, as manual analysis is too subjective and time-consuming for the rapid, precise measurements needed in modern quantum communication applications.
The system utilizes inter-arrival time histograms as the primary data type. This component plays a vital role by allowing the software algorithm to statistically differentiate between random noise and pulses triggered by previous detection events, thereby quantifying the after-pulsing probability.
The researchers measure the probability of after-pulsing across a dead time range of 1 to 80 microseconds. They also evaluate detection efficiency between 2.5% and 25%, observing that gated operation reduces noise to 0.8% at a 10% efficiency setting.
The authors claim that this automated tool enables data-driven optimization for quantum communications, LiDAR, and time-resolved spectroscopy. By reducing analysis time from hours to minutes, the instrument allows researchers to rapidly refine detector performance for these high-precision technologies.
