28 October 2022 Computational complexities of image plane algorithms for high contrast imaging in space telescopes
Author Affiliations +
Abstract

Future planned space telescopes, such as the IR/O/UV Large Telescope, recommended by Astro2020 will be used to directly image exo-Earths. They will employ high-order wavefront sensing and control (HOWFSC) to correct static and slow wavefront errors in the image plane to achieve contrasts better than 109. Our work evaluates the computational requirements for HOWFSC algorithms and compares these to the capabilities of processors that are expected to be available during mission development. We find that HOWFSC creates unprecedented requirements for space-based computational power, such as the ∼1013 floating-point operations necessary to generate the dark hole, based on the Large UV/Optical/IR (LUVOIR) study. In our worst-case estimates, maintaining an LUVOIR-size dark hole at 1010 contrast might require up to several orders of magnitude more computational throughput than available on the most advanced radiation-hardened processor.

© 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)
Leonid Pogorelyuk, Christian Haughwout, Nicholas Belsten, Eric Cady, and Kerri Cahoy "Computational complexities of image plane algorithms for high contrast imaging in space telescopes," Journal of Astronomical Telescopes, Instruments, and Systems 8(4), 049003 (28 October 2022). https://doi.org/10.1117/1.JATIS.8.4.049003
Received: 12 February 2022; Accepted: 30 September 2022; Published: 28 October 2022
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Actuators

Space operations

Wavefronts

Image processing

Clocks

Coronagraphy

Field programmable gate arrays

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