TL;DR
This paper introduces a novel polarimeter that uses compressed sensing and random modulation to measure polarization at frequencies below atmospheric seeing variations, enabling accurate Stokes parameter recovery despite slow cameras.
Contribution
It proposes a sub-Nyquist polarimetric measurement method using random modulation and compressed sensing, reducing the need for high-speed cameras in polarization measurements.
Findings
Feasible sub-Nyquist polarization measurement demonstrated through simulations.
Random modulation schemes improve the accuracy of Stokes parameter recovery.
Performance slightly degrades with higher signal-to-noise ratios due to multiplexing effects.
Abstract
We show that it is possible to measure polarization with a polarimeter that gets rid of the seeing while still measuring at a frequency well below that of the seeing. We study a standard polarimeter made of two retarders and a beamsplitter. The retarders are modulated at Hz, a frequency comparable to that of the variations of the refraction index in the Earth atmosphere, what is usually termed as seeing in astronomical observations. However, we assume that the camera is slow, so that our measurements are time integrations of these modulated signals. In order to recover the time variation of the seeing and obtain the Stokes parameters, we use the theory of compressed sensing to solve the demodulation by impose a sparsity constraint on the Fourier coefficients of the seeing. We demonstrate the feasibility of this sub-Nyquist polarimeter using numerical simulations, both in the…
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