Pair-based Analytical model for Segmented Telescopes Imaging from Space (PASTIS) for sensitivity analysis
Lucie Leboulleux, Jean-Fran\c{c}ois Sauvage, Laurent Pueyo, Thierry, Fusco, R\'emi Soummer, Johan Mazoyer, Anand Sivaramakrishnan, Mamadou, N'Diaye, Olivier Fauvarque

TL;DR
The paper introduces PASTIS, an analytical model for assessing the impact of segment alignment and stability on the imaging performance of segmented space telescopes, aiding in error budgeting and mission design.
Contribution
It develops and validates a fast analytical model for segmented telescope performance analysis, improving error budgeting and control system design for space-based imaging of habitable worlds.
Findings
PASTIS accurately predicts contrast levels comparable to end-to-end simulations.
The model enables efficient error budgeting for segment manufacturing and alignment.
Application to a specific aperture yields detailed static and quasi-static segment requirements.
Abstract
The imaging and spectroscopy of habitable worlds will require large-aperture space-based telescopes, to increase the collecting area and the angular resolution. These large telescopes will necessarily use segmented primaries to fit in a rocket. However, these massively segmented mirrors make high-contrast performance very difficult to achieve and stabilize, compared to more common monolithic primaries. Despite space telescopes operating in a friendlier environment than ground-based telescopes, remaining vibrations and resonant modes on the segments can still deteriorate the performance. In this context, we present the Pair-based Analytical model for Segmented Telescopes Imaging from Space (PASTIS) that enables the establishment of a comprehensive error budget, both in term of segment alignment and stability. Using this model, one may evaluate the influence of the segment cophasing and…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Adaptive optics and wavefront sensing · Astronomy and Astrophysical Research
