Modeling astronomical adaptive optics performance with temporally filtered Wiener reconstruction of slope data

• Tipo: Artigo em Revista Científica Internacional
• Data: 2017

Autores

Correia, CM (Autor) Outra; Bond, CZ (Autor) Outra; Sauvage, JF (Autor) Outra; Fusco, T (Autor) Outra; Conan, R (Autor) Outra; Wizinowich, PL (Autor) Outra

Revista

Título: Journal of the Optical Society of America A: Optics and Image Science, and Vision

Vol. 34

Páginas: 1877-1887

ISSN: 1084-7529

Editora: Optical Society of America

Indexação

ISI Web of Knowledge - 21 Citações

Scopus - 28 Citações

Outras Informações

ID Authenticus: P-014-ZC9

DOI: 10.1364/josaa.34.001877

Abstract (EN): We build on a long-standing tradition in astronomical adaptive optics (AO) of specifying performance metrics and error budgets using linear systems modeling in the spatial-frequency domain. Our goal is to provide a comprehensive tool for the calculation of error budgets in terms of residual temporally filtered phase power spectral densities and variances. In addition, the fast simulation of AO-corrected point spread functions (PSFs) provided by this method can be used as inputs for simulations of science observations with next-generation instruments and telescopes, in particular to predict post-coronagraphic contrast improvements for planet finder systems. We extend the previous results presented in Correia and Teixeira [J. Opt. Soc. Am. A 31, 2763 (2014)] to the closed-loop case with predictive controllers and generalize the analytical modeling of Rigaut et al. [Proc. SPIE 3353, 1038 (1998)], Flicker [Technical Report (W. M. Keck Observatory, 2007)], and Jolissaint [J. Eur. Opt. Soc. 5, 10055 (2010)]. We follow closely the developments of Ellerbroek [J. Opt. Soc. Am. A 22, 310 (2005)] and propose the synthesis of a distributed Kalman filter to mitigate both aniso-servo-lag and aliasing errors while minimizing the overall residual variance. We discuss applications to (i) analytic AO-corrected PSF modeling in the spatial-frequency domain, (ii) post-coronagraphic contrast enhancement, (iii) filter optimization for real-time wavefront reconstruction, and (iv) PSF reconstruction from system telemetry. Under perfect knowledge of wind velocities, we show that ~60 nm rms error reduction can be achieved with the distributed Kalman filter embodying antialiasing reconstructors on 10 m class high-order AO systems, leading to contrast improvement factors of up to three orders of magnitude at few ¿/D separations (~1 ¿ 5¿/D) for a 0 magnitude star and reaching close to one order of magnitude for a 12 magnitude star.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11