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基于单光子探测器阵列的抗噪声频域成像研究

陆茂霖 白妙青 秦成兵

量子电子学报2025,Vol.42Issue(4):537-545,9.
量子电子学报2025,Vol.42Issue(4):537-545,9.DOI:10.3969/j.issn.1007-5461.2025.04.009

基于单光子探测器阵列的抗噪声频域成像研究

Noise-resistant frequency-domain imaging based on single-photon detector arrays

陆茂霖 1白妙青 2秦成兵1

作者信息

  • 1. 山西大学激光光谱研究所,山西 太原 030006||山西大学极端光学协同创新中心,山西 太原 030006
  • 2. 山西大学现代教育技术学院,山西 太原 030006
  • 折叠

摘要

Abstract

Due to the high single-photon detection sensitivity and the characteristics of multiple pixels,single-photon detector arrays(SPDA)have been widely applied in the areas of single-photon radar,bioluminescence imaging,and so on.However,limited by fabrication technology,the photon detection efficiency of each pixel of SPDA presents a certain difference,which often leads to imaging distortion.To solve this problem,the reverse bias voltage of each single photon detector for a 4×4 SPDA has been optimized individually in this work,which increases the averaged photon detector efficiency by 1.77 folds and reduces the difference to 1/7 of that before adjustment.Then on this basis,a Fourier-domain imaging(FDI)scheme has been developed by performing Fourier transform on the photon arriving time of each single-photon detector and using Fourier transform amplitude as the imaging parameter.The results show that with FDI scheme,a reasonably good imaging with a contrast-to-noise ratio up to 2.29 can still be determined even under the condition that the ratio of the noise intensity to the signal intensity reaches 104,manifesting the strong noise-resistant feature of FDI.This work offers a new route for achieving single photon detector under complex and noisy environments based on SPDA.

关键词

量子信息/单光子探测器阵列/探测效率/傅里叶变换/光子计数成像/频域成像/对比信噪比

Key words

quantum information/single photon detector array/detection efficiency/Fourier transform/photon-counting imaging/frequency-domain imaging/contrast-to-noise ratio

分类

数理科学

引用本文复制引用

陆茂霖,白妙青,秦成兵..基于单光子探测器阵列的抗噪声频域成像研究[J].量子电子学报,2025,42(4):537-545,9.

基金项目

国家自然科学基金(U22A2091,62222509) (U22A2091,62222509)

量子电子学报

OA北大核心

1007-5461

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