Robust polarimetry via convex optimization
| Autor: | Ravi Kiran Saripalli, Ryan T. Glasser, Wenlei Zhang, Jacob M. Leamer, Denys I. Bondar |
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| Rok vydání: | 2020 |
| Předmět: |
Physics
Quantum Physics business.industry Polarimetry Astrophysics::Instrumentation and Methods for Astrophysics Experimental data FOS: Physical sciences Polarimeter 01 natural sciences Atomic and Molecular Physics and Optics 010309 optics Optics Electric field 0103 physical sciences Convex optimization Degree of polarization Electrical and Electronic Engineering Experimental methods business Quantum Physics (quant-ph) Engineering (miscellaneous) Algorithm Physics - Optics Free-space optical communication Optics (physics.optics) |
| DOI: | 10.48550/arxiv.2006.07770 |
| Popis: | 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. Comment: 15 pages and 6 figures. Comparison with other methods added |
| Databáze: | OpenAIRE |
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