A maximum-likelihood quadratic estimator recovers the window-free E-mode galaxy-galaxy lensing power spectrum to a few percent in simulations and enables 3D P_gm(k) estimation via redshift-sliced lens samples.
Cosmological dependence of the measurements of luminosity function, projected clustering and galaxy-galaxy lensing signal
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abstract
Observables such as the luminosity function of galaxies, \Phi(M), the projected clustering of galaxies, w_p(r_p), and the galaxy-galaxy lensing signal, \Delta\Sigma, are often measured from galaxy redshift surveys assuming a fiducial cosmological model for calculating distances to and between galaxies. There is a growing number of studies that perform joint analyses of these measurements and constrain cosmological parameters. We quantify the amount by which such measurements systematically vary as the fiducial cosmology used for the measurements is changed, and show that these effects can be significant at high redshifts (z~0.5). We present a simple way that maps the measurements made using a particular fiducial cosmological model to any other cosmological model. Cosmological constraints (or halo occupation distribution constraints) that use the luminosity function, clustering measurements and galaxy-galaxy lensing signal but ignore these systematic effects may underestimate the confidence intervals on the inferred parameters.
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Quadratic estimators for unwindowed power spectrum of galaxy-galaxy weak lensing and its application to $P_{\rm gm}(k)$ estimation
A maximum-likelihood quadratic estimator recovers the window-free E-mode galaxy-galaxy lensing power spectrum to a few percent in simulations and enables 3D P_gm(k) estimation via redshift-sliced lens samples.