4k citations · 22.4k across the 212 of their papers we have counts for
214 papers
Joint inference of multiplicative and additive systematics in galaxy density fluctuations and clustering measurements
Federico Berlfein, Rachel Mandelbaum, Scott Dodelson +1
Galaxy clustering measurements are a key probe of the matter density field in the Universe. With the era of precision cosmology upon us, surveys rely on precise measurements of the…
Accurate field-level weak lensing inference for precision cosmology
Alan Junzhe Zhou, Xiangchong Li, Scott Dodelson +1
We present , a catalog-to-cosmology pipeline for general flat-sky field-level inference, which provides access to cosmological information beyond the two-point stati…
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…
Beyond the 3rd moment: A practical study of using lensing convergence CDFs for cosmology with DES Y3
D. Anbajagane, C. Chang, A. Banerjee +95
Widefield surveys of the sky probe many clustered scalar fields -- such as galaxy counts, lensing potential, gas pressure, etc. -- that are sensitive to different cosmological and…
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…
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…