Pith. sign in

REVIEW 3 cited by

PSFs of coadded images

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2209.09253 v2 pith:WRRK2I3C submitted 2022-09-19 astro-ph.IM

PSFs of coadded images

classification astro-ph.IM
keywords coadditionwell-definedcoaddcoaddedlinearproducefailimage
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

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.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Efficient Optimal Image Reconstruction for the Nancy Grace Roman Space Telescope and Beyond: I. First Results with {\sc Effortless}

    astro-ph.IM 2026-07 conditional novelty 7.0

    Effortless reconstructs Roman images 50–60× faster than Imcom; one calibrated single-image output beats ~6 coadded Imcom images on ideal point-source moments.

  2. Neural Posterior Estimation for Inferring Weak Lensing Shear

    astro-ph.IM 2026-07 conditional novelty 6.0

    Neural posterior estimation recovers accurate, well-calibrated constant-shear posteriors from simulated multiband images that include blending, variable PSFs, stars, and detector artifacts.

  3. Efficient Optimal Image Reconstruction for the Nancy Grace Roman Space Telescope and Beyond: II. Implementation of {\sc Effortless}

    astro-ph.IM 2026-07 conditional novelty 6.0

    Effortless reconstructs individual undersampled Roman images into uniform-PSF oversampled images; finite-sampling residuals are reduced by post-measurement calibration on subpixel positions.