Abstract

Context. Polarimetric imaging is one of the most effective techniques for the high-contrast imaging and characterization of circumstellar environments. These environments can be characterized through direct-imaging polarimetry at near-infrared wavelengths. The Spectro-Polarimetric High-contrast Exoplanet REsearch (SPHERE)/IRDIS instrument, installed on the Very Large Telescope (VLT) in its dual-beam polarimetric imaging mode, offers the capability to acquire polarimetric images at high contrast and high angular resolution. However, dedicated image processing is needed to eliminate the contamination from the stellar light, instrumental polarization effects, and blurring from the instrumental point spread function. Aims. We aim to reconstruct and deconvolve the near-infrared polarization signal from circumstellar environments. Methods. We used observations of these environments obtained with the high-contrast imaging infrared polarimeter SPHERE-IRDIS at the VLT. We developed a new way to extract the polarimetric signal using an inverse approach method that benefits from the additional knowledge of the detected signal formation process. The method includes a weighted data fidelity term and smooth penalization, and it takes the instrumental polarization into account. Results. This method enables us to accurately measure the polarized intensity and angle of linear polarization of circumstellar disks by taking into account the noise statistics and the convolution by the instrumental point spread function. It has the capacity to use incomplete polarimetry cycles, which enhance the sensitivity of the observations. The method improves the overall performances in particular for instances of both low signal-to-noise (S/N) and small polarized flux compared to standard methods. Conclusions. By increasing the sensitivity and including deconvolution, our method will allow for more accurate studies of these disks morphology, especially in the innermost regions. It also will enable more accurate measurements of the angle of linear polarization at low S/N, which would lead to in-depth studies of dust properties. Finally, the method will enable more accurate measurements of the polarized intensity, which is critical for the construction of scattering phase functions.

Highlights

  • With the adaptive-optics-fed high-contrast imaging instruments GPI (Macintosh et al 2014) and Spectro-Polarimetric High-contrast Exoplanet REsearch (SPHERE)-IRDIS (Beuzit et al 2019; Dohlen et al 2008), we have access to the spatial resolution and sensitivity required to observe in the near-infrared (NIR) circumstellar matter at small angular separations

  • The NIR polarimetric mode of SPHERE/IRDIS at the Very Large Telescope (VLT), which is described in Beuzit et al

  • We describe in details the method and the benefits of the use of an inverse problem formalism for the reconstruction of circumstellar environments observed in polarimetry with the instrument ESO/VLT SPHERE IRDIS

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Summary

Introduction

With the adaptive-optics-fed high-contrast imaging instruments GPI (Macintosh et al 2014) and SPHERE-IRDIS (Beuzit et al 2019; Dohlen et al 2008), we have access to the spatial resolution and sensitivity required to observe in the near-infrared (NIR) circumstellar matter at small angular separations. Without loss of generality, we can model the spatial effects of the instrument by a single convolution accounting for all shift-invariant blurs followed by a single geometrical transform accounting for all the rotations and possible geometrical translations or spatial (de)magnification3 Following this analysis, our model of the spatial PSF is given by: N. where Ak : RN → RN implements the shift-invariant blur of the input model maps while T j,k : RN → RMj performs the geometrical transform of the blurred model maps for the jth polarizer of the analyzer set during the kth acquisition.

Inverse problems approach
Choice of the polarimetric parameters
Applications on high-contrast polarimetric data
Conclusion
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