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用于极微弱光信号检测的强杂散光消除快速优化方法。

Rapid optimization method of the strong stray light elimination for extremely weak light signal detection.

作者信息

Wang Geng, Xing Fei, Wei Minsong, You Zheng

出版信息

Opt Express. 2017 Oct 16;25(21):26175-26185. doi: 10.1364/OE.25.026175.

Abstract

The strong stray light has huge interference on the detection of weak and small optical signals, and is difficult to suppress. In this paper, a miniaturized baffle with angled vanes was proposed and a rapid optimization model of strong light elimination was built, which has better suppression of the stray lights than the conventional vanes and can optimize the positions of the vanes efficiently and accurately. Furthermore, the light energy distribution model was built based on the light projection at a specific angle, and the light propagation models of the vanes and sidewalls were built based on the Lambert scattering, both of which act as the bias of a calculation method of stray light. Moreover, the Monte-Carlo method was employed to realize the Point Source Transmittance (PST) simulation, and the simulation result indicated that it was consistent with the calculation result based on our models, and the PST could be improved by 2-3 times at the small incident angles for the baffle designed by the new method. Meanwhile, the simulation result was verified by laboratory tests, and the new model with derived analytical expressions which can reduce the simulation time significantly.

摘要

强杂散光对微弱光信号的检测具有极大干扰,且难以抑制。本文提出了一种带有倾斜叶片的小型化光阑,并建立了强光消除快速优化模型,该模型对杂散光的抑制效果优于传统叶片,且能高效、准确地优化叶片位置。此外,基于特定角度的光投影建立了光能分布模型,基于朗伯散射建立了叶片和侧壁的光传播模型,二者均作为杂散光计算方法的偏差。而且,采用蒙特卡洛方法实现了点源透过率(PST)模拟,模拟结果表明其与基于我们模型的计算结果一致,对于采用新方法设计的光阑,在小入射角下PST可提高2至3倍。同时,通过实验室测试验证了模拟结果,所推导解析表达式的新模型可显著减少模拟时间。

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