Observational biases in flux magnification measurements
Hendrik Hildebrandt

TL;DR
This paper uses simulations to study how observational effects like noise, dust, and selection biases impact flux magnification measurements in galaxy surveys, revealing complexities beyond simple theoretical models.
Contribution
It introduces detailed simulations that incorporate observational effects, demonstrating their significant influence on flux magnification measurements and highlighting the need for refined analysis methods.
Findings
Photometric noise and dust significantly affect magnification bias estimates.
Simple slope measurements of number counts are insufficient for accurate interpretation.
Wavelength-dependent magnitude shifts can mimic dust reddening effects.
Abstract
Flux magnification is an interesting complement to shear-based lensing measurements, especially at high redshift where sources are harder to resolve. One measures either changes in the source density (magnification bias) or in the shape of the flux distribution (e.g. magnitude-shift). The interpretation of these measurements relies on theoretical estimates of how the observables change under magnification. Here we present simulations to create multi-band photometric mock catalogues of Lyman-break galaxies in a CFHTLenS-like survey that include several observational effects that can change these relations, making simple theoretical estimates unusable. In particular, we show how the magnification bias can be affected by photometric noise, colour selection, and dust extinction. We find that a simple measurement of the slope of the number-counts is not sufficient for the precise…
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