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Published July 1, 2021 | Accepted Version
Journal Article Open

Vector-apodizing phase plate coronagraph: design, current performance, and future development [Invited]

Abstract

Over the last decade, the vector-apodizing phase plate (vAPP) coronagraph has been developed from concept to on-sky application in many high-contrast imaging systems on 8 m class telescopes. The vAPP is a geometric-phase patterned coronagraph that is inherently broadband, and its manufacturing is enabled only by direct-write technology for liquid-crystal patterns. The vAPP generates two coronagraphic point spread functions (PSFs) that cancel starlight on opposite sides of the PSF and have opposite circular polarization states. The efficiency, that is, the amount of light in these PSFs, depends on the retardance offset from a half-wave of the liquid-crystal retarder. Using different liquid-crystal recipes to tune the retardance, different vAPPs operate with high efficiencies (>96%) in the visible and thermal infrared (0.55 µm to 5 µm). Since 2015, seven vAPPs have been installed in a total of six different instruments, including Magellan/MagAO, Magellan/MagAO-X, Subaru/SCExAO, and LBT/LMIRcam. Using two integral field spectrographs installed on the latter two instruments, these vAPPs can provide low-resolution spectra (R∼30) between 1 µm and 5 µm. We review the design process, development, commissioning, on-sky performance, and first scientific results of all commissioned vAPPs. We report on the lessons learned and conclude with perspectives for future developments and applications.

Additional Information

© 2021 Optical Society of America. Received 11 February 2021; revised 16 April 2021; accepted 19 April 2021; posted 21 April 2021 (Doc. ID 422155); published 13 May 2021. The research of David Doelman, Steven Bos, and Frans Snik leading to these results has received funding from the European Research Council (FALCONER). Ben Sutlieff is fully supported by the Netherlands Research School for Astronomy (NOVA). KMM's work is supported by the NASA Exoplanets Research Program (XRP). This research made use of HCIPy, an open-source object-oriented framework written in Python for performing end-to-end simulations of high-contrast imaging instruments [35]. Funding: National Aeronautics and Space Administration (NNX16AD44G); National Science Foundation (162544); European Research Council (678194). Data Availability: Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request. The authors declare no conflicts of interest.

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Created:
August 20, 2023
Modified:
October 23, 2023