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Forecasting the constraints on optical selection bias and projection effects of galaxy cluster lensing with multiwavelength data
Conghao Zhou, Hao-Yi Wu, Andrés N. Salcedo +12
Galaxy clusters identified with optical imaging tend to suffer from projection effects, which impact richness (the number of member galaxies in a cluster) and lensing coherently. P…
Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps I: validation on simulations
M. Gatti, N. Jeffrey, L. Whiteway +98
Beyond-two-point statistics contain additional information on cosmological as well as astrophysical and observational (systematics) parameters. In this methodology paper we provide…
SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets
S. Bocquet, S. Grandis, L. E. Bleem +130
We present a Bayesian population modeling method to analyze the abundance of galaxy clusters identified by the South Pole Telescope (SPT) with a simultaneous mass calibration using…
Detection of the significant impact of source clustering on higher-order statistics with DES Year 3 weak gravitational lensing data
M. Gatti, N. Jeffrey, L. Whiteway +98
We demonstrate and measure the impact of source galaxy clustering on higher-order summary statistics of weak gravitational lensing data. By comparing simulated data with galaxies t…
The Dark Energy Survey Six-Year Calibration Star Catalog
E. S. Rykoff, D. L. Tucker, D. L. Burke +64
This Technical Note presents a catalog of calibrated reference stars that was generated by the Forward Calibration Method (FGCM) pipeline (arXiv:1706.01542) as part of the FGCM pho…
DES Y3 + KiDS-1000: Consistent cosmology combining cosmic shear surveys
Dark Energy Survey, Kilo-Degree Survey Collaboration, : +160
We present a joint cosmic shear analysis of the Dark Energy Survey (DES Y3) and the Kilo-Degree Survey (KiDS-1000) in a collaborative effort between the two survey teams. We find c…