A method of weak lensing reconstruction through cosmic magnification with multi-band photometry information
Ruijie Ma, Pengjie Zhang, Yu Yu, Jian Qin

TL;DR
This paper proposes a novel method using multi-band photometry to reconstruct weak lensing maps via cosmic magnification, effectively suppressing intrinsic galaxy clustering and enabling high-precision cosmological measurements.
Contribution
It introduces a minimum variance linear estimator based on principal component analysis to isolate lensing signals from galaxy clustering in multi-band data.
Findings
The scaling relation holds well up to multipole $\,10^3$.
The estimator suppresses intrinsic clustering by a factor of about 100.
Cross-correlation with cosmic shear achieves high signal-to-noise ratio.
Abstract
Weak gravitational lensing induces flux dependent fluctuations in the observed galaxy number density distribution. This cosmic magnification (magnification bias) effect in principle enables lensing reconstruction alternative to cosmic shear and CMB lensing. However, the intrinsic galaxy clustering, which otherwise overwhelms the signal, has hindered its application. Through a scaling relation found by principal component analysis of the galaxy clustering in multi-band photometry space, we design a minimum variance linear estimator to suppress the intrinsic galaxy clustering and to reconstruct the lensing convergence map. In combination of the CosmoDC2 galaxy mock and the CosmicGrowth simulation, we test this proposal for a LSST-like galaxy survey with photometry bands. The scaling relation holds excellently at multipole , and remains reasonably well to $\ell\sim…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Adaptive optics and wavefront sensing · Gamma-ray bursts and supernovae
