TL;DR
This paper introduces a novel inverse approach method for reconstructing and deconvolving polarized signals from circumstellar environments in high-contrast imaging, improving accuracy especially at low signal-to-noise ratios.
Contribution
The paper presents a new inverse method that accounts for instrumental effects and noise, enhancing the extraction of polarized signals from circumstellar disks in high-contrast polarimetric imaging.
Findings
Accurately measures polarized intensity and angle of linear polarization.
Improves performance for low SNR and small polarized flux.
Enables use of incomplete polarimetry cycles for increased sensitivity.
Abstract
Polarimetric imaging is one of the most effective techniques for high-contrast imaging and characterization of circumstellar environments. These environments can be characterized through direct-imaging polarimetry at near-infrared wavelengths. The SPHERE/IRDIS instrument installed on the Very Large Telescope in its dual-beam polarimetric imaging (DPI) mode, offers the capability to acquire polarimetric images at high contrast and high angular resolution. However dedicated image processing is needed to get rid of the contamination by the stellar light, of instrumental polarization effects, and of the blurring by the instrumental point spread function. We aim to reconstruct and deconvolve the near-infrared polarization signal from circumstellar environments. We use observations of these environments obtained with the high-contrast imaging infrared polarimeter SPHERE-IRDIS at the VLT. We…
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