Current Optics and Photonics

Optical Society of Korea (한국광학회)
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Assessment and Correction of the Spectral Quality for the Savart Polarization Interference Imaging Spectrometer

  • Zhongyi Han (College of Mathematical and Physical Sciences, Qingdao University of Science and Technology) ;
  • Peng Gao (College of Mathematical and Physical Sciences, Qingdao University of Science and Technology) ;
  • Jingjing Ai (College of Mathematical and Physical Sciences, Qingdao University of Science and Technology) ;
  • Gongju Liu (College of Mathematical and Physical Sciences, Qingdao University of Science and Technology) ;
  • Hanlin Xiao (College of Mathematical and Physical Sciences, Qingdao University of Science and Technology)
  • Received : 2023.05.24
  • Accepted : 2023.08.21
  • Published : 2023.10.25
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Abstract

As an effective means of remotely detecting the spectral information of the object, the spectral calibration for the Savart polarization interference imaging spectrometer (SPIIS) is a basis and prerequisite of information quantification, and its experimental calibration scheme is firstly proposed in this paper. In order to evaluate the accuracy of the spectral information acquisition, the linear interpolation, cubic spline interpolation, and piecewise cubic interpolation algorithms are adopted, and the precision of the quadratic polynomial fitting is the highest, whose fitting error is better than 5.8642 nm in the wavelength range of [500 nm, 820 nm]. Besides, the inversed value of the spectral resolution for the monochromatic light is greater than the theoretical value, and the deviation between them becomes larger with the wavelength increasing, which is mainly caused by the structural design of the SPIIS, together with the rationality of the spectral restoration algorithm and the selection of the maximum optical path difference (OPD). This work demonstrates that the SPIIS has achieved high performance assuring the feasibility of its practical use in various fields.

Keywords

Acknowledgement

Natural Science Foundation of Shandong Province (Grant no. ZR2022MF266); Innovation Center for Feng Yun Meteorological Satellite (Grant no. FY-APP-ZX-2022.0206).

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