A Novel High-Speed Photon Counting System with Programmed Dead Time

Fei Yuan, Xiaolong Lu, Li Jing, Yun-xiu Yang, Fanlin Kong, Shijie Deng, Changdong Guo, Haizhi Song
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引用次数: 1

Abstract

With high sensitivity at single photon level, Geiger-Mode (GM) avalanche photodiodes (APD) are widely used in spectrum measurement, 3D imaging, astronomical observation, biomedical and other fields. In this paper, a high-speed photon counting system is proposed with an active quench and reset integrated circuit (AQR-IC) that drives a near infrared InGaAs GM-APD. The avalanche current is converted into voltage signal by utilizing parasitic capacitance of APD and circuit's input port. Multi-stage inverters detect the induced voltage, and generate an output TTL pulse indicating occurrence of avalanche event. At the same time, the active quench circuit is introduced to stop avalanche quickly. Then the active reset circuit makes APD working in Geiger mode after a programmable delay time which could be set by field programmable gate array(FPGA). The adjustable dead time enormously improve the flexibility of photon counting system applications. The proposed AQR-IC was fabricated in SMIC $\mathbf{0.18\ \mu m}$ CMOS process. Applied for InGaAs GM-APD, experimental results show that the circuit is capable of fast quenching and recovering. The system provides adjustable dead time from 64 ns up to $\mathbf{163.6\ \mu s}$ with a setting resolution of 20 ns, corresponding to a maximum counting rate of 15.6 MHz. The system can meet the application requirement of free-running mode detection.
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一种可编程死区高速光子计数系统
盖革模式雪崩光电二极管(APD)具有单光子水平的高灵敏度,广泛应用于光谱测量、三维成像、天文观测、生物医学等领域。本文提出了一种采用有源猝灭复位集成电路(AQR-IC)驱动近红外InGaAs GM-APD的高速光子计数系统。雪崩电流通过APD的寄生电容和电路的输入端口转换成电压信号。多级逆变器检测感应电压,并产生一个输出TTL脉冲,指示雪崩事件的发生。同时引入有源猝灭电路,实现雪崩快速停止。然后,有源复位电路使APD在经过可编程延迟时间后工作在盖革模式,该延迟时间可由现场可编程门阵列(FPGA)设定。死区时间的可调极大地提高了光子计数系统应用的灵活性。该AQR-IC采用SMIC $\mathbf{0.18\ \mu m}$ CMOS工艺制备。应用于InGaAs GM-APD,实验结果表明该电路具有快速猝灭和恢复的能力。该系统提供从64 ns到$\mathbf{163.6\ \mu s}$的可调死区时间,设置分辨率为20 ns,对应于15.6 MHz的最大计数率。该系统可以满足自由运行模式检测的应用需求。
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