Abstract

Context. Since 1995 and the first discovery of an exoplanet orbiting a main-sequence star, 4000 exoplanets have been discovered using several techniques. However, only a few of these exoplanets were detected through direct imaging. Indeed, the imaging of circumstellar environments requires high-contrast imaging facilities and accurate control of wavefront aberrations. Ground-based planet imagers such as VLT/SPHERE or Gemini/GPI have already demonstrated great performance. However, their limit of detection is hampered by suboptimal correction of aberrations unseen by adaptive optics (AO). Aims. Instead of focusing on the phase minimization of the pupil plane as in standard AO, we aim to directly minimize the stellar residual light in the SPHERE science camera behind the coronagraph to improve the contrast as close as possible to the inner working angle. Methods. We propose a dark hole (DH) strategy optimized for SPHERE. We used a numerical simulation to predict the global improvement of such a strategy on the overall performance of the instrument for different AO capabilities and particularly in the context of a SPHERE upgrade. Then, we tested our algorithm on the internal source with the AO in closed loop. Results. We demonstrate that our DH strategy can correct for aberrations of phase and amplitude. Moreover, this approach has the ability to strongly reduce the diffraction pattern induced by the telescope pupil and the coronagraph, unlike methods operating at the pupil plane. Our strategy enables us to reach a contrast of 5e−7 at 150 mas from the optical axis in a few minutes using the SPHERE internal source. This experiment establishes the grounds for implementing the algorithm on sky in the near future.

Highlights

  • High-contrast imaging (HCI) is a powerful technique to detect substellar companions down to the planetary mass regime and to perform the characterization of their atmospheres with spectroscopy

  • Some of these sensors were tested in the past to calibrate the quasi-static aberrations on calibration sources: the self-coherent camera (SCC; Galicher et al 2019) and the electric field conjugation (EFC; Matthews et al 2017) were tested at the Palomar Observatory, the coronagraphic phase diversity (COFFEE; Paul et al 2014) and the Zernike sensor for extremely low-level differential aberration (ZELDA; N’Diaye et al 2016a) were studied on SPHERE, while the speckle nulling technique was implemented at Palomar and Keck (Bottom et al 2016)

  • We propose to estimate the performance of dark hole (DH) techniques, which focus on minimizing the stellar intensity in a chosen region of the science detector (Malbet et al 1995), applied on a current HCI instrument such as SPHERE

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Summary

Introduction

High-contrast imaging (HCI) is a powerful technique to detect substellar companions down to the planetary mass regime and to perform the characterization of their atmospheres with spectroscopy. A few sensors have already been implemented and validated on optical test beds fed by an artificial residual turbulence (Singh et al 2019; Potier et al 2019; Herscovici-Schiller et al 2019) Some of these sensors were tested in the past to calibrate the quasi-static aberrations on calibration sources: the self-coherent camera (SCC; Galicher et al 2019) and the electric field conjugation (EFC; Matthews et al 2017) were tested at the Palomar Observatory, the coronagraphic phase diversity (COFFEE; Paul et al 2014) and the Zernike sensor for extremely low-level differential aberration (ZELDA; N’Diaye et al 2016a) were studied on SPHERE, while the speckle nulling technique was implemented at Palomar and Keck (Bottom et al 2016).

Current SPHERE instrument setup and limitations
Adaptive optics loop
Infrared light path
Limitations in contrast
Description of IRDIS electric field
Wavefront control to generate a dark hole with SPHERE
Pair-wise probing
Electric field conjugation
Strategy
Full dark hole
Half dark hole
Findings
Conclusions
Full Text
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