Improving VLT/SPHERE without additional hardware: comparing quasi-static correction strategies
Year: 2022
Type: conference-paper
Abstract: Direct imaging is the primary technique currently used to detect young and warm exoplanets and understand their formation scenarios. The extreme flux ratio between an exoplanet and its host star requires the use of coronagraphs to attenuate the starlight and create high contrast images. However, their performance is limited by wavefront aberrations that cause stellar photons to leak through the coronagraph and on to the science detector preventing the observation of fainter extrasolar companions. The VLT/SPHERE instrument takes advantage of its efficient adaptive optics system to minimize dynamical aberrations to improve the image contrast. In good seeing conditions, the performance is limited by quasi-static aberrations caused by slowly varying aberrations and manufacturing defects in the optical components. The mitigation of these aberrations requires additional wavefront sensing and control algorithms to enhance the contrast performance of SPHERE. Dark hole algorithms initially developed for space-based application and recently performed on SPHERE calibration unit have shown significant improvement in contrast. This work presents a status update of dark hole algorithms applied on SPHERE and the results obtained during the on-sky tests performed on February 15th 2022.
Source: Adaptive Optics Systems VIII
DOI: 10.1117/12.2629926
Institutions: California Institute of Technology, Jet Propulsion Laboratory, European Southern Observatory, European Southern Observatory, Centre National de la Recherche Scientifique, Observatoire de Paris, Laboratoire d’études spatiales et d’instrumentation en astrophysique, Université Pierre-et-Marie-Curie, Lagrange Laboratory, Observatoire de la Côte d’Azur
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Awards: G2676722403, G3648211085, G830101876
OpenAlex ID: W4292450738
