Precision Speckle Pattern Reconstruction for High-contrast Imaging

In high-contrast imaging, a large instrumental, technological, and algorithmic effort is made to reduce residual speckle noise and improve the detection capabilities. In this work, we explore the potential of using a precise physical description of speckle images, in conjunction with the optimal det...

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Main Authors: Dotan Gazith, Barak Zackay
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astronomical Journal
Subjects:
Online Access:https://doi.org/10.3847/1538-3881/ad0b6f
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author Dotan Gazith
Barak Zackay
author_facet Dotan Gazith
Barak Zackay
author_sort Dotan Gazith
collection DOAJ
description In high-contrast imaging, a large instrumental, technological, and algorithmic effort is made to reduce residual speckle noise and improve the detection capabilities. In this work, we explore the potential of using a precise physical description of speckle images, in conjunction with the optimal detection statistic to perform high-contrast imaging. Our method uses short-exposure speckle images, reconstructing the point-spread function (PSF) of each image with phase retrieval algorithms. Using the reconstructed PSFs, we calculate the optimal detection statistic for all images. We analyze the arising bias due to the use of a reconstructed PSF and correct for it completely up to its accumulation over 10 ^4 images. We measure in simulations the method’s sensitivity loss due to overfitting in the reconstruction process and get to an estimated 5 σ detection limit of 5 × 10 ^−7 flux ratio at angular separations of 0.″1–0.″5 for a 1 h observation of Sirius A with a 2 m telescope.
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spelling doaj.art-983721a1d99f4c50b17f213ccbca0a0c2024-01-10T10:04:26ZengIOP PublishingThe Astronomical Journal1538-38812024-01-0116725310.3847/1538-3881/ad0b6fPrecision Speckle Pattern Reconstruction for High-contrast ImagingDotan Gazith0https://orcid.org/0000-0001-6698-3693Barak Zackay1https://orcid.org/0000-0001-5162-9501Dept. of Particle Phys. & Astrophys., Weizmann Institute of Science , Rehovot 76100, IsraelDept. of Particle Phys. & Astrophys., Weizmann Institute of Science , Rehovot 76100, IsraelIn high-contrast imaging, a large instrumental, technological, and algorithmic effort is made to reduce residual speckle noise and improve the detection capabilities. In this work, we explore the potential of using a precise physical description of speckle images, in conjunction with the optimal detection statistic to perform high-contrast imaging. Our method uses short-exposure speckle images, reconstructing the point-spread function (PSF) of each image with phase retrieval algorithms. Using the reconstructed PSFs, we calculate the optimal detection statistic for all images. We analyze the arising bias due to the use of a reconstructed PSF and correct for it completely up to its accumulation over 10 ^4 images. We measure in simulations the method’s sensitivity loss due to overfitting in the reconstruction process and get to an estimated 5 σ detection limit of 5 × 10 ^−7 flux ratio at angular separations of 0.″1–0.″5 for a 1 h observation of Sirius A with a 2 m telescope.https://doi.org/10.3847/1538-3881/ad0b6fHigh contrast techniquesAstronomical seeingAstronomy data analysis
spellingShingle Dotan Gazith
Barak Zackay
Precision Speckle Pattern Reconstruction for High-contrast Imaging
The Astronomical Journal
High contrast techniques
Astronomical seeing
Astronomy data analysis
title Precision Speckle Pattern Reconstruction for High-contrast Imaging
title_full Precision Speckle Pattern Reconstruction for High-contrast Imaging
title_fullStr Precision Speckle Pattern Reconstruction for High-contrast Imaging
title_full_unstemmed Precision Speckle Pattern Reconstruction for High-contrast Imaging
title_short Precision Speckle Pattern Reconstruction for High-contrast Imaging
title_sort precision speckle pattern reconstruction for high contrast imaging
topic High contrast techniques
Astronomical seeing
Astronomy data analysis
url https://doi.org/10.3847/1538-3881/ad0b6f
work_keys_str_mv AT dotangazith precisionspecklepatternreconstructionforhighcontrastimaging
AT barakzackay precisionspecklepatternreconstructionforhighcontrastimaging