Self-calibration and robust propagation of photometric redshift distribution uncertainties in weak gravitational lensing
B. St\"olzner, B. Joachimi, A. Korn, H. Hildebrandt, A. H. Wright

TL;DR
This paper introduces a method to accurately propagate uncertainties in photometric redshift distributions into weak lensing cosmological inferences, enabling self-calibration and improved robustness of results.
Contribution
The authors develop a flexible Gaussian mixture model for redshift distributions and implement an analytic marginalisation, allowing self-calibration directly from cosmic shear data.
Findings
Constraints agree with previous KV450 analysis
Redshift distribution medians shift by up to 0.02
Intrinsic alignment amplitude decreases by about 10%
Abstract
We present a method that accurately propagates residual uncertainties in photometric redshift distributions into the cosmological inference from weak lensing measurements. The redshift distributions of tomographic redshift bins are parameterised using a flexible modified Gaussian mixture model. We fit this model to pre-calibrated redshift distributions and implement an analytic marginalisation over the potentially several hundred redshift nuisance parameters in the weak lensing likelihood, which is demonstrated to accurately recover the cosmological posterior. By iteratively fitting cosmological and nuisance parameters arising from the redshift distribution model, we perform a self-calibration of the redshift distributions via the tomographic cosmic shear measurements. Our method is applied to the third data release of the Kilo-Degree Survey combined with the VISTA Kilo-Degree Infrared…
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