Forecasting the potential of weak lensing magnification to enhance LSST large-scale structure analyses
Constance Mahony, Maria Cristina Fortuna, Benjamin Joachimi, Andreas, Korn, Henk Hoekstra, Samuel J. Schmidt, The LSST Dark Energy Science, Collaboration

TL;DR
This study assesses the impact of weak lensing magnification on LSST large-scale structure analyses, finding it necessary to include to avoid bias, but with limited effect on improving parameter precision.
Contribution
It provides a forecast showing that weak lensing magnification must be modeled in LSST analyses to prevent bias, despite minimal gains in constraint precision.
Findings
Magnification slightly improves galaxy clustering constraints on Ω_m.
Neglecting magnification causes catastrophic bias in cosmological results.
Including magnification is essential for unbiased LSST large-scale structure analysis.
Abstract
Recent works have shown that weak lensing magnification must be included in upcoming large-scale structure analyses, such as for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), to avoid biasing the cosmological results. In this work we investigate whether including magnification has a positive impact on the precision of the cosmological constraints, as well as being necessary to avoid bias. We forecast this using an LSST mock catalog and a halo model to calculate the galaxy power spectra. We find that including magnification has little effect on the precision of the cosmological parameter constraints for an LSST galaxy clustering analysis, where the halo model parameters are additionally constrained by the galaxy luminosity function. In particular, we find that for the LSST gold sample () including weak lensing magnification only improves the galaxy…
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