Dark Energy Survey Year 3 results: Cosmology from combined galaxy clustering and lensing validation on cosmological simulations
AffiliationDepartment of Astronomy/Steward Observatory, University of Arizona
Department of Physics, University of Arizona
MetadataShow full item record
PublisherAmerican Physical Society
CitationDerose, J., Wechsler, R. H., Becker, M. R., Rykoff, E. S., Pandey, S., Maccrann, N., Amon, A., Myles, J., Krause, E., Gruen, D., Jain, B., Troxel, M. A., Prat, J., Alarcon, A., Sánchez, C., Blazek, J., Crocce, M., Giannini, G., Gatti, M., … (DES Collaboration). (2022). Dark Energy Survey Year 3 results: Cosmology from combined galaxy clustering and lensing validation on cosmological simulations. Physical Review D, 105(12).
JournalPhysical Review D
RightsCopyright © 2022 American Physical Society.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractWe present a validation of the Dark Energy Survey Year 3 (DES Y3) 3×2-point analysis choices by testing them on Buzzard2.0, a new suite of cosmological simulations that is tailored for the testing and validation of combined galaxy clustering and weak-lensing analyses. We show that the buzzard2.0 simulations accurately reproduce many important aspects of the DES Y3 data, including photometric redshift and magnitude distributions, and the relevant set of two-point clustering and weak-lensing statistics. We then show that our model for the 3×2-point data vector is accurate enough to recover the true cosmology in simulated surveys assuming the true redshift distributions for our source and lens samples, demonstrating robustness to uncertainties in the modeling of the nonlinear matter power spectrum, nonlinear galaxy bias, and higher-order lensing corrections. Additionally, we demonstrate for the first time that our photometric redshift calibration methodology, including information from photometry, spectroscopy, clustering cross-correlations, and galaxy-galaxy lensing ratios, is accurate enough to recover the true cosmology in simulated surveys in the presence of realistic photometric redshift uncertainties. © 2022 American Physical Society.
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