GaaP: PSF- and aperture-matched photometry using shapelets
Konrad Kuijken
TL;DR
The paper tackles the problem of obtaining accurate galaxy colours across bands with different seeing by introducing the Gaussian-aperture-and-PSF (GaaP) flux and a shapelet-based pipeline to estimate PSF- and pixel-scale–independent colours. It develops a formalism where both sources and PSFs are expanded in Gauss-Hermite shapelets, enabling an analytical computation of the GaaP flux and its uncertainty from observed, pixellated data. A two-pronged correction scheme addresses residuals from imperfect shapelet fits and PSF modeling, yielding percent-level accuracy in simulations across a range of morphologies and PSFs. The method offers a scalable, PSF-independent path to multi-band photometry for large imaging surveys and photometric redshift studies, with potential extensions to time-domain comparisons.
Abstract
We describe a new technique for measuring accurate galaxy colours from images taken under different seeing conditions. The method involves two ingredients. First we define the Gaussian-aperture-and-PSF flux, which is the Gaussian-weighted flux a galaxy would have if it were observed with a Gaussian PSF. This theoretical aperture flux is independent of the PSF or pixel scale that the galaxy was observed with. Second we develop a procedure to measure such a `GaaP' flux from observed, pixellated images. This involves modelling source and PSF as a superposition of orthogonal shapelets. A correction scheme is also described, which approximately corrects for any residuals to the shapelet expansions. A series of tests on simulated images shows that with this method it is possible to reduce systematic errors in the matched-aperture fluxes to a percent, which makes it useful for deriving photometric redshifts from large imaging surveys.
