Spatially resolved λ(r) from the mass-sheet degeneracy quantifies the radial transition in reliability between strong and weak lensing mass reconstructions of galaxy clusters.
Size Bias in Galaxy Surveys
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abstract
Only certain galaxies are included in surveys: those bright and large enough to be detectable as extended sources. Because gravitational lensing can make galaxies appear both brighter and larger, the presence of foreground inhomogeneities can scatter galaxies across not only magnitude cuts but also size cuts, changing the statistical properties of the resulting catalog. Here we explore this size bias, and how it combines with magnification bias to affect galaxy statistics. We demonstrate that photometric galaxy samples from current and upcoming surveys can be even more affected by size bias than by magnification bias.
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2026 2roles
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Machine learning techniques can mitigate limitations in traditional weak-lensing analyses and enhance extraction of cosmological information from galaxy imaging surveys.
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Lambda as a Probe of Lensing Consistency
Spatially resolved λ(r) from the mass-sheet degeneracy quantifies the radial transition in reliability between strong and weak lensing mass reconstructions of galaxy clusters.
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Machine-learning applications for weak-lensing cosmology
Machine learning techniques can mitigate limitations in traditional weak-lensing analyses and enhance extraction of cosmological information from galaxy imaging surveys.