Robust polarimetry via convex optimization
Optics
2020-12-03 v2 Quantum Physics
Abstract
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.
Cite
@article{arxiv.2006.07770,
title = {Robust polarimetry via convex optimization},
author = {Jacob M. Leamer and Wenlei Zhang and Ravi K. Saripalli and Ryan T. Glasser and Denys I. Bondar},
journal= {arXiv preprint arXiv:2006.07770},
year = {2020}
}
Comments
15 pages and 6 figures. Comparison with other methods added