An evolvable space telescope for future astronomical missions 2015 update

Polidan, R. S.; Breckinridge, James B.; Lillie, Charles F.; MacEwen, Howard A.; Flannery, M. R.; Dailey, Dean; Baldauf, Brian; Makowski, David; Rafanelli, G. L.

doi:10.1117/12.2189105

Cited by 8 publications

(7 citation statements)

References 8 publications

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“…Furthermore, the optical systems under consideration in this work are neither rotationally symmetric, nor anamorphic. It is not uncommon to see optical systems utilizing rectangular apertures, as is the case for the Gaia telescope system [12,13] or X-ray mirrors [14]. The high resolution deflectometry could easily be extended to metrology of solar panels and collectors, which have rectangular or non-circular aperture shapes, also.…”

Section: Modal Data Processing For High Resolution Deflectometrymentioning

confidence: 99%

Modal Data Processing for High Resolution Deflectometry

Aftab

Burge

Smith

et al. 2019

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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In this paper, we present a modal data processing methodology, for reconstructing high resolution surfaces from measured slope data, over rectangular apertures. One of the primary goals is the ability to effectively reconstruct deflectometry measurement data for high resolution and freeform surfaces, such as telescope mirrors. We start by developing a gradient polynomial basis set which can quickly generate a very high number of polynomial terms. This vector basis set, called the G polynomials set, is based on gradients of the Chebyshev polynomials of the first kind. The proposed polynomials represent vector fields that are defined as the gradients of scalar functions. This method yields reconstructions that fit the measured data more closely than those obtained using conventional methods, especially in the presence of defects in the mirror surface and physical blockers/markers such as fiducials used during deflectometry measurements. We demonstrate the strengths of our method using simulations and real metrology data from the Daniel K. Inouye Solar Telescope (DKIST) primary mirror.

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Section: Modal Data Processing For High Resolution Deflectometrymentioning

confidence: 99%

Modal Data Processing for High Resolution Deflectometry

Aftab

Burge

Smith

et al. 2019

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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“…Initially designed for locating faint companion stars in the vicinity of bright stars, the RRSA system boasts primary mirrors exceeding 40 meters in length. Under similar luminous conditions and exposure times, it exhibits superior imaging contrast when compared to conventional circular aperture systems 10 . Furthermore, in 2000, Hunt BR et al conducted an in-depth analysis of the optical transfer function, detector frequency response, and noise characteristics of the RRSA system.…”

Section: Related Work 21 Optical Synthetic Aperture Technologymentioning

confidence: 99%

Image restoration using dual-domain fusion network for rotating rectangular synthetic aperture system

deng,

Zhang,

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Imaging Systems

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Compared to single aperture systems, optical synthetic aperture systems greatly improve the spatial resolution, yet still exhibit a certain degree of blurring and contrast reduction. To address this challenge, numerous image restoration methods have been proposed. Recently, instead of the conventional circular synthetic aperture, the rotating rectangular synthetic aperture (RRSA) system employs a rectangular aperture to capture a sequence of images of the same scene. The RRSA system’s foldable design and absence of common-phase adjustments confer cost and complexity benefits. The captured degraded image sequences contain information about multiple directions of the target scene, so it is necessary to use multi-frame image fusion technology to restore them. However, most conventional methods often introduce visual artifacts and require substantial computational time. In this paper, we propose a Dual-Domain Fusion Network (DDFNet), restoring multi-frame degraded images in the spatial and frequency domain and then achieving superior fusion results. DDFNet employs a nested U-Net architecture to capture local pixel-level relationships, facilitating the recovery of local features and structures from spatial domain images. In parallel, we transform the input images into the frequency domain, and utilize another nested U-Net for feature extraction on the normalized spectrum and phase, thereby improving the recovery of texture and edge information. Finally, the fusion model effectively utilizes multi-level features and contextual awareness to combine the spatial and frequency domain features, achieving high-quality fusion results of captured degraded sequence images. Extensive experiments demonstrate that our method achieves superior performance both in quantitative and qualitative assessments compared to state-of-the-art techniques.

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“…A full description of both EST and RSA along with additional information on the needed in space infrastructure and a concept for precursor testbed (MoDEST: Modular Demonstration of an EST) on the International Space Station can be found in Polidan et al (2015).…”

Section: Rotating Synthetic Aperturementioning

confidence: 99%

Finding the UV–Visible Path Forward: Proceedings of the Community Workshop to Plan the Future of UV/Visible Space Astrophysics

Scowen

Tripp²,

Beasley

et al. 2017

PASP

Self Cite

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We present the science cases and technological discussions that came from the workshop entitled "Finding the UV-Visible Path Forward" held at NASA GSFC June 25-26, 2015. The material presented outlines the compelling science that can be enabled by a next generation space-based observatory dedicated for UV-visible science, the technologies that are available to include in that observatory design, and the range of possible alternative launch approaches that could also enable some of the science. The recommendations to the Cosmic Origins Program Analysis Group from the workshop attendees on possible future development directions are outlined.

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An evolvable space telescope for future astronomical missions 2015 update

Cited by 8 publications

References 8 publications

Modal Data Processing for High Resolution Deflectometry

Modal Data Processing for High Resolution Deflectometry

Image restoration using dual-domain fusion network for rotating rectangular synthetic aperture system

Finding the UV–Visible Path Forward: Proceedings of the Community Workshop to Plan the Future of UV/Visible Space Astrophysics

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