Quantifying telescope phase discontinuities external to adaptive optics systems by use of phase diversity and focal plane sharpening

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

Autores

Lamb, MP (Autor) Outra; Correia, C (Autor) Outra; Sauvage, JF (Autor) Outra; Véran, JP (Autor) Outra; Andersen, DR (Autor) Outra; Vigan, A (Autor) Outra; Wizinowich, PL (Autor) Outra; van Dam, MA (Autor) Outra; Mugnier, L (Autor) Outra; Bond, C (Autor) Outra

Revista

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Título: JOURNAL OF ASTRONOMICAL TELESCOPES INSTRUMENTS AND SYSTEMS

Vol. 3

ISSN: 2329-4124

Indexação

ISI Web of Knowledge - 21 Citações

Scopus - 23 Citações

Outras Informações

ID Authenticus: P-014-ZCA

DOI: 10.1117/1.jatis.3.3.039001

Abstract (EN): We propose and apply two methods to estimate pupil plane phase discontinuities for two realistic scenarios on the very large telescope (VLT) and Keck. The methods use both phase diversity and a form of image sharpening. For the case of VLT, we simulate the "low wind effect" (LWE) that is responsible for focal plane errors in the spectro-polarimetric high contrast exoplanet research (SPHERE) system in low wind and good seeing conditions. We successfully estimate the simulated LWE using both methods and show that they are complimentary to one another. We also demonstrate that single image phase diversity (also known as phase retrieval with diversity) is also capable of estimating the simulated LWE when using the natural defocus on the SPHERE/differential tip tilt sensor (DTTS) imager. We demonstrate that phase diversity can estimate the LWE to within 30-nm root mean square wavefront error (RMS WFE), which is within the allowable tolerances to achieve a target SPHERE contrast of 10-6. Finally, we simulate 153-nm RMS of piston errors on the mirror segments of Keck and produce NIRC2 images subject to these effects. We show that a single, diverse image with 1.5 waves (peak-to-valley) of focus can be used to estimate this error to within 29-nm RMS WFE, and a perfect correction of our estimation would increase the Strehl ratio of an NIRC2 image by 12%.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10