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We have shown that the left side null space of the autoregression (AR) matrix operator is the lexicographical presentation of the point spread function (PSF) on condition the AR parameters are common for original and blurred images. The…

计算机视觉与模式识别 · 计算机科学 2012-06-19 Yu. A. Bunyak , O. Yu. Sofina , R. N. Kvetnyy

Data sizes for next generation radio telescopes, such as the Square Kilometre Array (SKA), are far above that of their predecessors. The CLEAN algorithm was originally developed by H\"ogbom [1974], long before such data sizes were thought…

天体物理仪器与方法 · 物理学 2025-01-06 Daniel Wright , Karel Adámek , Wesley Armour

We propose a new method for Point Spread Function (PSF) correction in weak gravitational lensing shear analysis using an artificial image with the same ellipticity as the lensed image. This avoids the systematic error associated with the…

宇宙学与河外天体物理 · 物理学 2015-06-19 Yuki Okura , Toshifumi Futamase

The first step toward doing high-precision astrometry is the measurement of individual stars in individual images, a step that is fraught with dangers when the images are undersampled. The key to avoiding systematic positional error in…

天体物理学 · 物理学 2009-10-05 Jay Anderson , Ivan R. King

Direct detection and spectroscopy of exoplanets requires high contrast imaging. For habitable exoplanets in particular, located at small angular separation from the host star, it is crucial to employ small inner working angle (IWA)…

天体物理仪器与方法 · 物理学 2016-11-09 P. Pathak , O. Guyon , N. Jovanovic , J. Lozi , F. Martinache , Y. Minowa , T. Kudo , H. Takami , Y. Hayano , N. Narita

Precise centroid estimation plays a critical role in accurate astrometry using telescope images. Conventional centroid estimation fits a template point spread function (PSF) to the image data. Because the PSF is typically not known to high…

天体物理仪器与方法 · 物理学 2015-05-27 Chengxing Zhai , Mike Shao , Renaud Goullioud , Bijan Nemati

Recently, the prediction-correction method has been developed to solve nonlinear convex optimization problems. However, its convergence rate is often poor since large regularization parameters are set to ensure convergence conditions. In…

最优化与控制 · 数学 2024-11-05 Sai Wang

With the development of modern radio interferometers, wide-field continuum surveys have been planned and undertaken, for which accurate wide-field imaging methods are essential. Based on the widely-used W-stacking method, we propose a new…

天体物理仪器与方法 · 物理学 2023-05-01 Haoyang Ye , Steve F. Gull , Sze M. Tan , Bojan Nikolic

We propose the application of multiresolution transforms, such as wavelets (WT) and curvelets (CT), to the reconstruction of images of extended objects that have been acquired with adaptive optics (AO) systems. Such multichannel approaches…

天体物理仪器与方法 · 物理学 2015-06-11 Roberto Baena Gallé , Jorge Núñez , Szymon Gladysz

A ground-layer adaptive optics system (GLAO) uses a single adaptive mirror to partially correct the wavefront for atmospheric and telescope aberrations over a wide field of view. Instead of reaching diffraction limit on a narrow field, the…

天体物理仪器与方法 · 物理学 2017-06-02 Donald Gavel

We present a non-iterative method to deconvolve the spatial response function or the point spread function (PSF) from images taken with the Suzaku X-ray Imaging Spectrometer (XIS). The method is optimized for analyses of extended sources…

天体物理学 · 物理学 2015-05-13 Mutsumi Sugizaki , Tuneyoshi Kamae , Yoshitomo Maeda

The Active Subspace (AS) method is a widely used technique for identifying the most influential directions in high-dimensional input spaces that affect the output of a computational model. The standard AS algorithm requires a sufficient…

数值分析 · 数学 2025-10-24 Fabio Nobile , Matteo Raviola , Raul Tempone

Even though the technology of adaptive optics (AO) is rapidly maturing, calibration of the resulting images remains a major challenge. The AO point-spread function (PSF) changes quickly both in time and position on the sky. In a typical…

In this paper we present the approach we have used to determine and account for the anisoplanatic point spread function (PSF) in deep adaptive optics (AO) images for the Survey of a Wide Area with NACO (SWAN) at the ESO VLT. The survey…

天体物理学 · 物理学 2009-11-11 G. Cresci , R. I. Davies , A. J. Baker , M. D. Lehnert

Planned wide-field weak lensing surveys are expected to reduce the statistical errors on the shear field to unprecedented levels. In contrast, systematic errors like those induced by the convolution with the point spread function (PSF) will…

宇宙学与河外天体物理 · 物理学 2012-10-23 M. Gentile , F. Courbin , G. Meylan

In large-scale spatial surveys, such as the forthcoming ESA Euclid mission, images may be undersampled due to the optical sensors sizes. Therefore, one may consider using a super-resolution (SR) method to recover aliased frequencies, prior…

计算机视觉与模式识别 · 计算机科学 2014-10-30 Fred Maurice Ngolè Mboula , Jean-Luc Starck , Samuel Ronayette , Koryo Okumura , Jérôme Amiaux

When recording spectra from the ground, atmospheric turbulence causes degradation of the spatial resolution. We present a data reduction method that restores the spatial resolution of the spectra to their undegraded state. By assuming that…

天体物理仪器与方法 · 物理学 2017-12-13 Michiel van Noort

Fluid-Structure Interaction (FSI) is a crucial problem in ocean engineering. The smoothed particle hydrodynamics (SPH) method has been employed recently for FSI problems in light of its Lagrangian nature and its advantage in handling…

流体动力学 · 物理学 2023-07-19 Tianrun Gao , Huihe Qiu , Lin Fu

We introduce and publicly release a new code, ADAPTSMOOTH, which serves to smooth astronomical images in an adaptive fashion, in order to enhance the signal-to-noise ratio (S/N). The adaptive smoothing scheme allows to take full advantage…

天体物理仪器与方法 · 物理学 2021-11-05 Stefano Zibetti

The price of instruments and observing time on modern telescopes is quickly increasing with the size of the primary mirror. Therefore, it is worth revisiting the data reduction algorithms to extract every bit of scientific information from…

天体物理仪器与方法 · 物理学 2021-02-03 Nikolai Piskunov , Ansgar Wehrhahn , Thomas Marquart