Simultaneous estimation of segmented telescope phasing errors and non-common path aberrations from adaptive-optics-corrected images

Author:

Lamb Masen P1ORCID,Correia Carlos2,Sivanandam Suresh13,Swanson Robin14,Zavyalova Polina35

Affiliation:

1. Dunlap Institute for Astronomy and Astrophysics, University of Toronto, 50 St George Street, Toronto, ON M5S 3H4, Canada

2. Space ODT, Rua A. C. Monteiro, 65, P-4050-014 Porto, Portugal

3. David A. Dunlap Department of Astronomy and Astrophysics, University of Toronto, 50 St George Street, Toronto, ON M5S 3H4, Canada

4. Department of Computer Science, University of Toronto, 40 St George Street, Toronto, M5S 2E4, Canada

5. Department of Electrical & Computer Engineering, University of Toronto, 10 King’s College Road, Toronto, M5S 3G4, Canada

Abstract

ABSTRACT We investigate the focal plane wavefront sensing technique, known as Phase Diversity, at the scientific focal plane of a segmented mirror telescope with an adaptive optics (AO) system. We specifically consider an optical system imaging a point source in the context of (i) an artificial source within the telescope structure and (ii) from AO-corrected images of a bright star. From our simulations, we reliably disentangle segmented telescope phasing errors from non-common path aberrations (NCPA) for both a theoretical source and on-sky, AO-corrected images where we have simulated the Keck/NIRC2 system. This quantification from on-sky images is appealing, as it is sensitive to the cumulative wavefront perturbations of the entire optical train; disentanglement of phasing errors and NCPA is therefore critical, where any potential correction to the primary mirror from an estimate must contain minimal NCPA contributions. Our estimates require a 1-min sequence of short-exposure, AO-corrected images; by exploiting a slight modification to the AO-loop, we find that 75 defocused images produce reliable estimates. We demonstrate a correction from our estimates to the primary and deformable mirror results in a wavefront error reduction of up to 67 per cent and 65 per cent for phasing errors and NCPA, respectively. If the segment phasing errors on the Keck primary are of the order of ∼130 nm RMS, we show we can improve the H-band Strehl ratio by up to 10 per cent by using our algorithm. We conclude our technique works well to estimate NCPA alone from on-sky images, suggesting it is a promising method for any AO-system.

Funder

University of Toronto

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Striving towards robust phase diversity on-sky;Astronomy & Astrophysics;2024-07

2. A deep learning approach for focal-plane wavefront sensing using vortex phase diversity;Astronomy & Astrophysics;2022-12

3. An overview of the Gemini Infrared Multi-Object Spectrograph performance budgets;Modeling, Systems Engineering, and Project Management for Astronomy X;2022-08-25

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