Opt Express. 2023 Jan 30;31(3):3839-3856. doi: 10.1364/OE.472070.
This article intends to provide all the experimental insights and analyze the best polarimetric calibration method for a division of aperture polarimetric imager considering the different implications it has on the experimental set-up and its performance. Polarimetric cameras require careful calibration for the correct measurement of polarization information. The calibration methods are introduced, intermediate results are presented, and the ability of the set-up to estimate Stokes vectors and Mueller matrices of the samples in passive and active imaging modes is evaluated. Polarization information recovery achieves accuracy errors below the 10% for all polarization modes when the Data Reduction Matrix or the Eigenvalue Calibration Method are used. Such performance, however, degrades significantly when using the Polarizer Calibration Method. To the best of our knowledge, this is the first time such a detailed comparison of calibration methods is presented in the literature, and it is also the first time the Polarizer Calibration Method is applied to a division of aperture polarimeter.
本文旨在提供所有实验见解,并分析孔径分割偏振成像仪的最佳偏振校准方法,考虑到它对实验设置及其性能的不同影响。偏振相机需要进行仔细的校准,以正确测量偏振信息。介绍了校准方法,给出了中间结果,并评估了该设置在被动和主动成像模式下估计样品的斯托克斯矢量和穆勒矩阵的能力。当使用数据减少矩阵或特征值校准方法时,所有偏振模式的偏振信息恢复都达到了低于 10%的精度误差。然而,当使用偏振器校准方法时,这种性能会显著下降。据我们所知,这是文献中首次对校准方法进行如此详细的比较,也是首次将偏振器校准方法应用于孔径分割偏振仪。