Laser & Optoelectronics Progress, Volume. 62, Issue 9, 0930003(2025)

High-Resolution Computational Spectrometer Based on Automatic Differentiation Optimization Algorithm

Yangfan Qi1... Junrui Liang1, Jun Li1, Jiangming Xu1, Jinyong Leng1,2,3 and Pu Zhou1,* |Show fewer author(s)
Author Affiliations
  • 1College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, Hunan , China
  • 2Nanhu Laser Laboratory, National University of Defense Technology, Changsha 410073, Hunan , China
  • 3Hunan Provincial Key Laboratory of High Energy Laser Technology, National University of Defense Technology, Changsha 410073, Hunan , China
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    Spectrometers have important applications in scientific research, industrial production, and daily life. Traditional dispersive spectroscopy spectrometers often have a large volume while achieving high-resolution measurements. In recent years, computational reconstruction spectrometers based on single speckle images have attracted much attention due to their advantages of high resolution and compactness. However, this scheme requires iterative optimization during spectral reconstruction to improve measurement accuracy, so the time cost is generally on the order of minutes, which limits its real-time application. This article introduces the automatic differential optimization algorithm into the speckle calculation spectrometer, which significantly reduces the spectral reconstruction time from the minute level to the second level without affecting the measurement accuracy. It achieves spectral measurement with a resolution of 2 pm and over 2000 channels, providing a new solution for rapid calculation and measurement of speckle based spectra.

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    Yangfan Qi, Junrui Liang, Jun Li, Jiangming Xu, Jinyong Leng, Pu Zhou. High-Resolution Computational Spectrometer Based on Automatic Differentiation Optimization Algorithm[J]. Laser & Optoelectronics Progress, 2025, 62(9): 0930003

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    Paper Information

    Category: Spectroscopy

    Received: Aug. 19, 2024

    Accepted: Sep. 23, 2024

    Published Online: Apr. 23, 2025

    The Author Email: Zhou Pu (zhoupu203@163.com)

    DOI:10.3788/LOP241858

    CSTR:32186.14.LOP241858

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