论文标题

通过凸优化的强大极化法

Robust polarimetry via convex optimization

论文作者

Leamer, Jacob M., Zhang, Wenlei, Saripalli, Ravi K., Glasser, Ryan T., Bondar, Denys I.

论文摘要

我们提出基于凸优化的数学方法,用于校正在极化法中测得的非物理相干矩阵。我们还开发了恢复对应于实验数据和指定公差的极化程度和最大值值的相干矩阵的方法。我们使用标准极化法方案获得的实验非物理结果和商业偏光仪来说明这些方法。我们的技术应用于后处理,该技术补充了其他实验方法的稳健极化法。

We present mathematical methods, based on convex optimization, for correcting non-physical coherency matrices measured in polarimetry. We also develop the method for recovering the coherency matrices corresponding to the smallest and largest values of the degree of polarization given the experimental data and a specified tolerance. We use experimental non-physical results obtained with the standard polarimetry scheme and a commercial polarimeter to illustrate these methods. Our techniques are applied in post-processing, which complements other experimental methods for robust polarimetry.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源