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Temperature-dependent photon detection efficiency model for InGaAs/InP SPADs.

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    |February 25, 2022
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    Summary
    This summary is machine-generated.

    We developed a model to accurately predict the photon detection efficiency (PDE) of InGaAs/InP single-photon avalanche diodes (SPADs) across various temperatures. This tool aids in optimizing SPAD performance for near-infrared photon counting applications.

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    Area of Science:

    • Optoelectronics
    • Semiconductor device physics
    • Photonics

    Background:

    • Indium Gallium Arsenide/Indium Phosphide (InGaAs/InP) single-photon avalanche diodes (SPADs) are crucial for near-infrared photon counting.
    • Photon Detection Efficiency (PDE) is a key performance metric for these devices.
    • Accurate PDE estimation is vital for optimizing SPAD design and application suitability.

    Purpose of the Study:

    • To develop and validate a precise model for estimating the temperature-dependent Photon Detection Efficiency (PDE) of InGaAs/InP SPADs.
    • To provide a predictive tool for device engineers to assess SPAD performance prior to fabrication.
    • To enhance the understanding of factors influencing PDE in near-infrared SPADs.

    Main Methods:

    • Utilized optical and electrical Technology Computer-Aided Design (TCAD) simulations.
    • Selected and adapted literature models for complex refractive indexes, ionization coefficients, and minority carrier lifetime.
    • Incorporated temperature and doping dependencies into the simulation models.

    Main Results:

    • Developed a comprehensive model capable of accurately predicting InGaAs/InP SPAD PDE.
    • Demonstrated strong agreement between simulated and experimentally measured PDE curves.
    • Validated the model's accuracy across different temperatures and doping concentrations.

    Conclusions:

    • The developed TCAD-based model is a reliable tool for estimating InGaAs/InP SPAD PDE.
    • This predictive capability facilitates the optimization of SPADs for near-infrared photon counting.
    • The model aids in reducing development time and cost by enabling pre-fabrication performance assessment.