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Dark Energy Survey Year 6 results: Redshift calibration of the MagLim++ lens sample
Phys. Rev. D 114, 023520 – Published 7 July, 2026
DOI: https://doi.org/10.1103/mkwr-bfls
Abstract
In this work, we derive and calibrate the redshift distribution of the MagLim++ lens galaxy sample used in the Dark Energy Survey Year 6 (DES Y6) cosmology analysis. The analysis combines galaxy clustering from the lens galaxy sample and weak gravitational lensing. The redshift distributions are inferred using the SOMPZ method—a self-organizing map framework that combines deep-field multiband photometry, wide-field data, and a synthetic source injection (balrog) catalog. Key improvements over the DES Year 3 (Y3) calibration include a noise-weighted SOM metric, an expanded balrog catalog, and an improved scheme for propagating systematic uncertainties, which allows us to generate redshift realizations that collectively span the dominant sources of uncertainty. These realizations are then combined with independent clustering-redshift measurements via importance sampling. The resulting calibration achieves typical uncertainties on the mean redshift of 1%–2%, corresponding to a 20%–30% average reduction relative to DES Y3. We compress the uncertainties into a small number of orthogonal modes for use in cosmological inference. Marginalizing over these modes leads to only a minor degradation in cosmological constraints. This analysis establishes the MagLim++ sample as a robust lens sample for precision cosmology with DES Y6 and provides a scalable framework for future surveys.
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