1.3k citations · 4.4k across the 67 of their papers we have counts for
60 papers · 1 filter
Dark Energy Survey Year 3 results: optimized CDM simulation-based inference with weak lensing map-level hybrid statistics
J. Williamson, T. L. Makinen, N. Porqueres +85
We present cosmological constraints from the Dark Energy Survey Year 3 (DES Y3) weak lensing data using hierarchical hybrid statistics within a Bayesian simulation-based inference…
Constraints on Dynamical Dark Energy from Multiple Probes in the Full Dark Energy Survey
DES Collaboration, T. M. C. Abbott, M. Adamow +166
We present results on dark energy evolution, assuming a time-dependent equation of state , from growth and geometric probes using the full six-year Dark Energy S…
Field-level weak lensing cosmology with simulations using multifidelity simulation-based inference
Alex A. Saoulis, Kiyam Lin, Niall Jeffrey +5
We perform a realistic KiDS-Legacy mock analysis with field-level neural compression and simulation-based inference using just 60 -body simulations. The weak lensing shear field…
Dark Energy Survey Year 6 Results: Cosmological Constraints from Cosmic Shear
DES Collaboration, T. M. C. Abbott, M. Aguena +126
We present legacy cosmic shear measurements and cosmological constraints using six years of Dark Energy Survey imaging data. From these data, we study ~140 million galaxies (8.29 g…
Dark Energy Survey Year 6 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
DES Collaboration, T. M. C. Abbott, M. Adamow +169
We present cosmology results combining galaxy clustering and weak gravitational lensing measured in the full six years (Y6) of observations by the Dark Energy Survey (DES) covering…
Dark Energy Survey Year 6 Results: Galaxy-galaxy lensing
G. Giannini, G. Camacho-Ciurana, A. Whyley +116
We present galaxy--galaxy lensing (GGL) measurements from the full six years of data from the Dark Energy Survey (DES Y6), covering and used in the DES Y6 $3…
Dark Energy Survey Year 6 Results: Weak Lensing and Galaxy Clustering Cosmological Analysis Framework
D. Sanchez-Cid, A. Ferté, J. Blazek +115
We present the methodology for the weak lensing and galaxy clustering analyses of the Dark Energy Survey (DES) Year 6 data set. In this work, we design and validate the analysis pi…
Dark Energy Survey: DESI-Independent Angular BAO Measurement
J. Mena-Fernández, S. Avila, A. Porredon +80
We present a measurement of the angular baryon acoustic oscillation (BAO) scale from the completed Dark Energy Survey (DES) dataset excluding the area of overlap with the Dark Ener…
Intrinsic galaxy alignments in CAMELS simulations and the significant impact of baryon model
Daniel Bilsborrow, Niall Jeffrey
We present a detection of the intrinsic galaxy alignments in the CAMELS suite of hydrodynamic simulations. We find that the alignment amplitude depends significantly on cosmologica…
The Dark Energy Survey Supernova Program: A Reanalysis Of Cosmology Results And Evidence For Evolving Dark Energy With An Updated Type Ia Supernova Calibration
B. Popovic, P. Shah, W. D. Kenworthy +80
We present improved cosmological constraints from a re-analysis of the Dark Energy Survey (DES) 5-year sample of Type Ia supernovae (DES-SN5YR). This re-analysis includes an improv…
Dark Energy Survey Year 3 results: Simulation-based CDM inference from weak lensing and galaxy clustering maps with deep learning: Analysis design
A. Thomsen, J. Bucko, T. Kacprzak +99
Data-driven approaches using deep learning are emerging as powerful techniques to extract non-Gaussian information from cosmological large-scale structure. This work presents the f…
DECADE+DES Y3 Weak Lensing Mass Map: A 13,000 deg View of Cosmic Structure from 270 Million Galaxies
M. Gatti, D. Anbajagane, C. Chang +37
We present the largest galaxy weak lensing mass map of the late-time Universe, reconstructed from 270 million galaxies in the DECADE and DES Year 3 datasets, covering 13,000 square…
Searching for Dark Structures: A Comparison of Weak-lensing Convergence Maps and Lensing-weighted Galaxy Density Maps
Soojin Kim, Ho Seong Hwang, Niall Jeffrey
We present the result of a comparison between the dark matter distribution inferred from weak gravitational lensing and the observed galaxy distribution to identify dark structures…
Biasing from galaxy trough and peak profiles with the DES Y3 redMaGiC galaxies and the weak lensing mass map
Q. Hang, N. Jeffrey, L. Whiteway +83
We measure the correspondence between the distribution of galaxies and matter around troughs and peaks in the projected galaxy density, by comparing \texttt{redMaGiC} galaxies ($0.…
Dark Energy Survey Year 3 Results: Cosmological constraints from second and third-order shear statistics
R. C. H. Gomes, S. Sugiyama, B. Jain +95
We present a cosmological analysis of the third-order aperture mass statistic using Dark Energy Survey Year 3 (DES Y3) data. We perform a complete tomographic measurement of the th…
Intrinsic alignment demographics for next-generation lensing: Revealing galaxy property trends with DESI Y1 direct measurements
J. Siegel, J. McCullough, A. Amon +60
We present direct measurements of the intrinsic alignments (IA) of over 2 million spectroscopic galaxies using DESI Data Release 1 and imaging from four lensing surveys: DES, HSC,…
Lensing Without Borders: Measurements of galaxy-galaxy lensing and projected galaxy clustering in DESI DR1
S. Heydenreich, A. Leauthaud, C. Blake +64
We present Galaxy-Galaxy Lensing measurements obtained by cross-correlating spectroscopically observed galaxies from the first data release of the Dark Energy Spectroscopic Instrum…
Dark Energy Survey Year 3 results: CDM cosmology from simulation-based inference with persistent homology on the sphere
J. Prat, M. Gatti, C. Doux +94
We present cosmological constraints from Dark Energy Survey Year 3 (DES Y3) weak lensing data using persistent homology, a topological data analysis technique that tracks how featu…
Transfer learning for multifidelity simulation-based inference in cosmology
Alex A. Saoulis, Davide Piras, Niall Jeffrey +3
Simulation-based inference (SBI) enables cosmological parameter estimation when closed-form likelihoods or models are unavailable. However, SBI relies on machine learning for neura…
Dark Energy Survey Year 3 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Clustering
DES Collaboration, T. M. C. Abbott, M. Aguena +88
Galaxy clusters provide a unique probe of the late-time cosmic structure and serve as a powerful independent test of the CDM model. This work presents the first set of cosmologi…
Dark Energy Survey: implications for cosmological expansion models from the final DES Baryon Acoustic Oscillation and Supernova data
DES Collaboration, T. M. C. Abbott, M. Acevedo +118
The Dark Energy Survey (DES) recently released the final results of its two principal probes of the expansion history: Type Ia Supernovae (SNe) and Baryonic Acoustic Oscillations (…
Cosmology with second and third-order shear statistics for the Dark Energy Survey: Methods and simulated analysis
R. C. H. Gomes, S. Sugiyama, B. Jain +56
We present a new pipeline designed for the robust inference of cosmological parameters using both second- and third-order shear statistics. We build a theoretical model for rapid e…
It's not : constraining the non-linear matter power spectrum with the Dark Energy Survey Year-5 supernova sample
Paul Shah, T. M. Davis, M. Vincenzi +58
The weak gravitational lensing magnification of Type Ia supernovae (SNe Ia) is sensitive to the matter power spectrum on scales Mpc, making it unwise to interpret SN…
Dark Energy Survey Year 3: Blue Shear
J. McCullough, A. Amon, E. Legnani +115
Modeling the intrinsic alignment (IA) of galaxies poses a challenge to weak lensing analyses. The Dark Energy Survey is expected to be less impacted by IA when limited to blue, sta…