A Generalized Method for Measuring Weak Lensing Magnification With Weighted Number Counts
Bryan Gillis, Andy Taylor

TL;DR
This paper introduces a generalized, efficient estimator for weak lensing magnification using weighted number counts, demonstrating its effectiveness on CFHTLenS data and its potential to enhance mass profile constraints.
Contribution
The paper develops a new, computationally efficient estimator for weak lensing magnification that can handle overlapping samples and be extended to mass-mapping, improving analysis of galaxy dark matter haloes.
Findings
Estimator agrees with model predictions on CFHTLenS data
Magnification improves mass profile constraints at high redshifts
Magnification can outperform shear in certain low- and medium-mass regimes
Abstract
We present a derivation of a generalized optimally-weighted estimator for the weak lensing magnification signal, including a calculation of errors. With this estimator, we present a local method for optimally estimating the local effects of magnification from weak gravitational lensing, using a comparison of number counts in an arbitrary region of space to the expected unmagnified number counts. We show that when equivalent lens and source samples are used, this estimator is simply related to the optimally-weighted correlation function estimator used in past work and vice-versa, but this method has the benefits that it can calculate errors with significantly less computational time, that it can handle overlapping lens and source samples, and that it can easily be extended to mass-mapping. We present a proof-of-principle test of this method on data from the CFHTLenS, showing that its…
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