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Proceedings Paper

Intrinsic coincident full-Stokes polarimeter using stacked organic photovoltaics and architectural comparison of polarimeter techniques
Author(s): Ruonan Yang; Pratik Sen; B. T. O'Connor; M. W. Kudenov
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Paper Abstract

An intrinsic coincident full-Stokes polarimeter is demonstrated by using stain-aligned polymer-based organic photovoltaics (OPVs) which can preferentially absorb certain polarized states of incident light. The photovoltaic-based polarimeter is capable of measuring four stokes parameters by cascading four semitransparent OPVs in series along the same optical axis. Two wave plates were incorporated into the system to modulate the S3 stokes parameter so as to reduce the condition number of the measurement matrix. The model for the full-Stokes polarimeter was established and validated, demonstrating an average RMS error of 0.84%. The optimization, based on minimizing the condition number of the 4-cell OPV design, showed that a condition number of 2.4 is possible. Performance of this in-line polarimeter concept was compared to other polarimeter architectures, including Division of Time (DoT), Division of Amplitude (DoAm), Division of Focal Plane (DoFP), and Division of Aperture (DoA) from signal-to-noise ratio (SNR) perspective. This in-line polarimeter concept has the potential to enable both high temporal (as compared with a DoT polarimeter) and high spatial resolution (as compared with DoFP and DoA polarimeters). We conclude that the intrinsic design has the same ~√2 SNR advantage as the DoAm polarimeter, but with greater compactness.

Paper Details

Date Published: 30 August 2017
PDF: 12 pages
Proc. SPIE 10407, Polarization Science and Remote Sensing VIII, 1040705 (30 August 2017); doi: 10.1117/12.2273885
Show Author Affiliations
Ruonan Yang, North Carolina State Univ. (United States)
Pratik Sen, North Carolina State Univ. (United States)
B. T. O'Connor, North Carolina State Univ. (United States)
M. W. Kudenov, North Carolina State Univ. (United States)


Published in SPIE Proceedings Vol. 10407:
Polarization Science and Remote Sensing VIII
Joseph A. Shaw; Frans Snik, Editor(s)

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