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All-electronic Nanosecond-resolved Scanning Tunneling Microscopy: Facilitating the Investigation of Single Dopant Charge Dynamics
Published on: January 19, 2018
Modeling for Single-Photon Avalanche Diodes: State-of-the-Art and Research Challenges
Xuanyu Qian1, Wei Jiang1, Ahmed Elsharabasy1,2
1Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4K1, Canada.
This paper reviews single-photon avalanche diode (SPAD) models to improve the design of SPAD-based systems. Understanding SPAD principles and models is crucial for advancing photon detection technologies.
Area of Science:
- Photonics
- Semiconductor Devices
- Instrumentation
Background:
- Single-photon-counting (SPC) techniques are increasingly vital in various fields.
- High-performance, cost-effective single-photon avalanche diodes (SPADs) are key to SPC system popularity.
- Limited calibrated SPAD models hinder design optimization for medical and industrial applications.
Purpose of the Study:
- To provide a perspective on improving SPAD-based system design.
- To review the development and application of SPAD models.
- To highlight research challenges and future directions in SPAD modeling.
Main Methods:
- Discussion of fundamental SPAD principles: photon detection probability (PDP), dark count rate (DCR), afterpulsing probability (AP), and timing jitter (TJ).
- Comprehensive review of various SPAD models, analyzing their focus on specific performance parameters.
- Summary of current research challenges and future outlook for SPAD model development.
Main Results:
- Identified critical SPAD performance parameters (PDP, DCR, AP, TJ) essential for system design.
- Cataloged and analyzed existing SPAD models, highlighting their strengths and limitations.
- Outlined key research gaps and emerging trends in SPAD modeling.
Conclusions:
- Advanced SPAD models are necessary for optimizing the design of high-performance SPAD-based systems.
- Further research into SPAD modeling is crucial for unlocking the full potential of SPC techniques.
- Emerging modeling methods promise enhanced accuracy and predictive capabilities for SPADs.
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