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PSFs of coadded images
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PSFs of coadded images
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We provide a detailed exploration of the connection between choice of coaddition schemes and the point-spread function (PSF) of the resulting coadded images. In particular, we investigate what properties of the coaddition algorithm lead to the final coadded image having a well-defined PSF. The key elements of this discussion are as follows: 1. We provide an illustration of how linear coaddition schemes can produce a coadd that lacks a well-defined PSF even for relatively simple scenarios and choices of weight functions. 2. We provide a more formal demonstration of the fact that a linear coadd only has a well-defined PSF in the case that either (a) each input image has the same PSF or (b) the coadd is produced with weights that are independent of the signal. 3. We discuss some reasons that two plausible nonlinear coaddition algorithms (median and clipped-mean) fail to produce a consistent PSF profile for stars. 4. We demonstrate that all nonlinear coaddition procedures fail to produce a well-defined PSF for extended objects. In the end, we conclude that, for any purpose where a well-defined PSF is desired, one should use a linear coaddition scheme with weights that do not correlate with the signal and are approximately uniform across typical objects of interest.
Forward citations
Cited by 3 Pith papers
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Efficient Optimal Image Reconstruction for the Nancy Grace Roman Space Telescope and Beyond: I. First Results with {\sc Effortless}
Effortless reconstructs Roman images 50–60× faster than Imcom; one calibrated single-image output beats ~6 coadded Imcom images on ideal point-source moments.
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Neural Posterior Estimation for Inferring Weak Lensing Shear
Neural posterior estimation recovers accurate, well-calibrated constant-shear posteriors from simulated multiband images that include blending, variable PSFs, stars, and detector artifacts.
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Efficient Optimal Image Reconstruction for the Nancy Grace Roman Space Telescope and Beyond: II. Implementation of {\sc Effortless}
Effortless reconstructs individual undersampled Roman images into uniform-PSF oversampled images; finite-sampling residuals are reduced by post-measurement calibration on subpixel positions.
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