Author
Krist, John E.Martin, Stefan R.
Kuan, Gary
Mennesson, Bertrand
Ruane, Garreth
Saini, Navtej
Trauger, John
Breckinridge, James
Mawet, Dimitri

Stahl, Philip
Davis, Jeffrey
Affiliation
Univ ArizonaIssue Date
2019-09-09
Metadata
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SPIE-INT SOC OPTICAL ENGINEERINGCitation
John Krist, Stefan Martin, Gary Kuan, Bertrand Mennesson, Garreth Ruane, Navtej Saini, John Trauger, James Breckinridge, Dimitri Mawet, Philip Stahl, and Jeffrey Davis "Numerical modeling of the Habex coronagraph", Proc. SPIE 11117, Techniques and Instrumentation for Detection of Exoplanets IX, 1111705 (9 September 2019); https://doi.org/10.1117/12.2530462Rights
Copyright © 2019 SPIE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The Habex study, commissioned by NASA in preparation for the 2020 Decadal Survey, is evaluating a 4 meter space telescope for high contrast imaging and spectral characterization of extrasolar terrestrial planets. Its off-axis configuration, active structural metrology, and low-disturbance pointing control provide an optimal system for coronagraphs. We present predictions of the Habex performance using a charge 6 vortex coronagraph that have been obtained using numerical modeling techniques developed for the WFIRST coronagraph. The models include realistic optical surface and polarization-induced aberrations, pointing jitter, and thermally-induced wavefront variations. Wavefront control using dual deformable mirrors is simulated to create a dark, high-contrast hole around the star. The results show that current technologies can closely approach the Habex performance goals, and with some additional development in key areas (e.g., deformable mirror surface quality, low-polarization coatings, etc.) over the next few years they should reliably meet them.ISSN
0277-786XVersion
Final published versionae974a485f413a2113503eed53cd6c53
10.1117/12.2530462