Weak Lensing Reconstruction by Counting Galaxies: Improvement with DES Y3 Galaxies
Jian Qin, Pengjie Zhang, Yu Yu, Haojie Xu, Ji Yao, Yuan Shi, Huanyuan, Shan

TL;DR
This paper improves weak lensing convergence map reconstruction using galaxy counts by applying the method to DES Y3 data, achieving significant detection of cross-correlations and consistency with theoretical predictions, advancing cosmological applications.
Contribution
The paper demonstrates the application of galaxy-count-based weak lensing reconstruction to DES Y3 data, showing improved detection and consistency with theory, advancing the method's cosmological utility.
Findings
Detection of convergence-shear cross-correlation signals with high significance.
Reasonable agreement of $ ext{auto-} ext{kappa}$ correlations with theoretical predictions.
Enhanced galaxy number density enables better lensing map reconstruction.
Abstract
In \citep{Qin+}, we attempted to reconstruct the weak lensing convergence map from cosmic magnification by linearly weighting the DECaLS galaxy overdensities in different magnitude bins of photometry bands. The map is correlated with cosmic shear at 20- significance. However, the low galaxy number density in the DECaLS survey prohibits the measurement of auto-correlation. In this paper, we apply the reconstruction method to the Dark Energy Survey Year 3 (DES Y3) galaxies from the DES Data Release 2 (DR2). With greater survey depth and higher galaxy number density, convergence-shear cross-correlation signals are detected with at and respectively. More remarkably, the correlations of the and …
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Adaptive optics and wavefront sensing
