High-contrast imager for complex aperture telescopes (HiCAT): 6. software control infrastructure and calibration

Moriarty, Christopher; Brooks, Keira; Soummer, Rémi; Perrin, Marshall D.; Comeau, Thomas; Brady, Gregory R.; Gontrum, Rob; Petrone, Peter

doi:10.1117/12.2314058

Cited by 4 publications

(1 citation statement)

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“…HiCAT is a testbed dedicated to technology demonstrations for coronagraphy on segmentedaperture space observatories, with the intent of being directly traceable to a future HWO-like mission. [10][11][12][13][14][15][16][17] These technologies include Lyot coronagraphy, high-order WFS&C for generating and stabilizing dark zones, and low-order wavefront sensing (LOWFS). 18 HiCAT operates in a mid-contrast regime (10 −7 to 10 −8 ) which approaches the limit achievable outside of a vacuum environment.…”

Section: Hicat Testbedmentioning

confidence: 99%

High-order coronagraphic wavefront control with algorithmic differentiation: first experimental demonstration

Will,

Perrin,

Por

et al. 2023

J. Astron. Telesc. Instrum. Syst.

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Future space-based coronagraphs will rely critically on focal-plane wavefront sensing and control with deformable mirrors (DMs) to reach deep contrast by mitigating optical aberrations in the primary beam path. Until now, most focal-plane wavefront control algorithms have been formulated in terms of Jacobian matrices, which encode the predicted effect of each DM actuator on the focal-plane electric field. A disadvantage of these methods is that Jacobian matrices can be cumbersome to compute and manipulate, particularly when the number of DM actuators is large. Recently, we proposed a new class of focal-plane wavefront control algorithms that utilize gradient-based optimization with algorithmic differentiation to compute wavefront control solutions while avoiding the explicit computation and manipulation of Jacobian matrices entirely. In simulations using a coronagraph design for the proposed Large UV/Optical/Infrared Surveyor, we showed that our approach reduces overall CPU time and memory consumption compared to a Jacobian-based algorithm. Here, we expand on these results by implementing the proposed algorithm on the High-contrast Imager for Complex Aperture Telescopes tested at the Space Telescope Science Institute and present initial experimental results, demonstrating contrast suppression capabilities equivalent to Jacobian-based methods.

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