Magnification Bias Corrections to Galaxy-Lensing Cross-Correlations

TL;DR

This paper quantifies how magnification bias affects galaxy-lensing cross-correlations, emphasizing the importance of foreground redshift and sample separation to avoid bias in cosmological measurements.

Contribution

It provides a detailed analysis of magnification bias corrections, highlighting their dependence on redshift and sample properties, and offers guidelines for minimizing bias in cosmological studies.

Findings

Magnification bias correction increases with foreground redshift.

Bias can exceed 5% for z<0.67, affecting dark energy measurements.

Foreground and background separation is crucial to reduce bias.

Abstract

Galaxy-galaxy or galaxy-quasar lensing can provide important information on the mass distribution in the Universe. It consists of correlating the lensing signal (either shear or magnification) of a background galaxy/quasar sample with the number density of a foreground galaxy sample. However, the foreground galaxy density is inevitably altered by the magnification bias due to the mass between the foreground and the observer, leading to a correction to the observed galaxy-lensing signal. The aim of this paper is to quantify this correction. The single most important determining factor is the foreground redshift z: the correction is small if the foreground galaxies are at low redshifts but can become non-negligible for sufficiently high redshifts. For instance, we find that for the multipole l=1000, the correction is above 1%*(5s-2)/b for z<0.37, and above 5%*(5s-2)/b for z<0.67, where s is the number count slope of the foreground sample, and b its galaxy bias. These considerations are particularly important for geometrical measures, such as the Jain and Taylor ratio or its generalization by Zhang et al. Assuming (5s-2)/b=1, we find that the foreground redshift should be limited to z<0.45 in order to avoid biasing the inferred dark energy equation of state w by more than 5%, and that even for a low foreground redshift (< 0.45), the background samples must be well separated from the foreground to avoid incurring a bias of similar magnitude. Lastly, we briefly comment on the possibility of obtaining these geometrical measures without using galaxy shapes, using instead magnification bias itself.