Predicting contrast sensitivity to segmented aperture misalignment modes for the HiCAT testbed
Iva Laginja, Remi Soummer, Laurent M. Mugnier, Laurent Pueyo,, Jean-Francois Sauvage, Lucie Leboulleux, Laura Coyle, J. Scott Knight,, Marshall D. Perrin, Scott D. Will, James Noss, Keira J. Brooks, Julia Fowler

TL;DR
This paper details the setup and validation process for the PASTIS model on the HiCAT testbed, aiming to predict contrast sensitivity to segmented aperture misalignments in coronagraphy.
Contribution
It introduces an experimental framework using HiCAT for validating the PASTIS analytical model with hardware and emulator tests.
Findings
Validated PASTIS contrast predictions against simulations
Demonstrated hardware readiness for PASTIS experiments
Performed initial tolerancing analysis on testbed modes
Abstract
This paper presents the setup for empirical validations of the Pair-based Analytical model for Segmented Telescope Imaging from Space (PASTIS) tolerancing model for segmented coronagraphy. We show the hardware configuration of the High-contrast imager for Complex Aperture Telescopes (HiCAT) testbed on which these experiments will be conducted at an intermediate contrast regime between and . We describe the optical performance of the testbed with a classical Lyot coronagraph and describe the recent hardware upgrade to a segmented mode, using an IrisAO segmented deformable mirror. Implementing experiments on HiCAT is made easy through its top-level control infrastructure that uses the same code base to run on the real testbed, or to invoke the optical simulator. The experiments presented in this paper are run on the HiCAT testbed emulator, which makes them ready to be…
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