Post-AO High-resolution Imaging Using the Kraken Multi-frame Blind Deconvolution Algorithm

被引：6

作者：

Hope, Douglas A. ^{[1
]}

Jefferies, Stuart M. ^{[1
,2
]}

Li Causi, Gianluca ^{[3
,4
,5
]}

Landoni, Marco ^{[6
,7
]}

Stangalini, Marco ^{[4
,8
]}

Pedichini, Fernando ^{[4
,5
]}

Antoniucci, Simone ^{[4
,5
]}

机构：

[1] Georgia State Univ, 25 Pk Pl, Atlanta, GA 30303 USA

[2] Univ Hawaii, 34 Ohia Ku St, Pukalani, HI 96768 USA

[3] INAF IAPS, Via Fosso Cavaliere 100, I-00133 Rome, Italy

[4] INAF OAR, Via Frascati 33, I-00078 Monte Porzio Catone, RM, Italy

[5] INAF ADONI, Adapt Opt Natl Lab, Monte Porzio Catone, Italy

[6] INAF Osservatorio Astron Cagliari, Via Sci, Selargius, CA, Italy

[7] INAF Osservatorio Astron Brera, Via E Bianchi 46, Merate, LC, Italy

[8] ASI Italian Space Agcy, Via Politecn Snc, I-00133 Rome, Italy

来源：

ASTROPHYSICAL JOURNAL | 2022年 / 926卷 / 01期

关键词：

PHASE; RESTORATION;

D O I：

10.3847/1538-4357/ac2df3

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

In the context of extreme adaptive optics for large telescopes, we present the Kraken multi-frame blind deconvolution (MFBD) algorithm for processing high-cadence acquisitions, capable of providing a diffraction-limited estimation of the source brightness distribution. This is achieved by a data modeling of each frame in the sequence driven by the estimation of the instantaneous wave front at the entrance pupil. Under suitable physical constraints, numerical convergence is guaranteed by an iteration scheme starting from a compact MFBD, which provides a very robust initial guess that only employs a few frames. We describe the mathematics behind the process and report the high-resolution reconstruction of the spectroscopic binary alpha And (16.3 mas separation) acquired with the precursor of SHARK-VIS, the upcoming high-contrast camera in the visible for the Large Binocular Telescope.

引用

页数：5