Paper
9 January 2002 Analysis of channeled spectropolarimetry using singular value decomposition
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Abstract
Channeled spectropolarimetry is a technique for measuring the spectral dependence of the polarization state of light. Passive polarization optics are used to encode the spectral dependence of the four Stokes components sk into a single irradiance spectrum. We treat the technique as a linear operator and compute its singular value decomposition numerically. The resulting singular functions divide into three distinct groups representing s0, s1 and mixtures of s2 and s3. The corresponding singular values indicate that measurements of the latter two groups will have signal-to-noise ratios reduced form that of s0 by factors of 0.6 and 0.4 respectively. The structure of the singular vectors is in agreement with a separate estimate of the system's resolution.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Derek S. Sabatke, Ann M. Locke, Michael R. Descour, Eustace L. Dereniak, John Phillips Garcia, Thomas K. Hamilton, and Robert W. McMillan "Analysis of channeled spectropolarimetry using singular value decomposition", Proc. SPIE 4481, Polarization Analysis and Measurement IV, (9 January 2002); https://doi.org/10.1117/12.452875
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Cited by 2 scholarly publications.
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KEYWORDS
Spectroscopy

Wave plates

Polarization

S band

Vector spaces

Signal to noise ratio

Fourier transforms

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