Cosmic Shear Measurement using Autoconvolved Images
Xiangchong Li, Jun Zhang (Shanghai Jiao Tong University)

TL;DR
This paper introduces a novel method for measuring cosmic shear using quadrupole moments of auto-convolved galaxy images, which simplifies PSF correction and noise removal, achieving sub-percent accuracy in simulations.
Contribution
The paper presents a new technique utilizing auto-convolved images for cosmic shear measurement, improving PSF correction and noise handling over previous methods.
Findings
Achieves sub-percent accuracy in simulated conditions.
Effectively corrects PSF smearing effects.
Removes noise systematic errors directly in Fourier space.
Abstract
We study the possibility of using quadrupole moments of auto-convolved galaxy images to measure cosmic shear. The autoconvolution of an image corresponds to the inverse Fourier transformation of its power spectrum. The new method has the following advantages: the smearing effect due to the Point Spread Function (PSF) can be corrected by subtracting the quadrupole moments of the auto-convolved PSF; the centroid of the auto-convolved image is trivially identified; the systematic error due to noise can be directly removed in Fourier space; the PSF image can also contain noise, the effect of which can be similarly removed. With a large ensemble of simulated galaxy images, we show that the new method can reach a sub-percent level accuracy in general conditions, albeit with increasingly large stamp size for galaxies of less compact profiles.
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