From the 1 of 87 linked papers with an AI index.
2 citations · 2 across the 12 of their papers we have counts for
88 papers
The Dark Energy Camera All Data Everywhere cosmic shear project V: Constraints on cosmology and astrophysics from 270 million galaxies across 13,000 deg of the sky
D. Anbajagane, C. Chang, A. Drlica-Wagner +78
The paper presents cosmological and astrophysical constraints derived from cosmic shear measurements of 270 million galaxies covering 13,000 deg², combining data from the DECADE pr…
Infrared-enhanced Photometric Redshifts for the Dark Energy Survey Y6 Gold catalogue
M. M. Puebla, I. Sevilla-Noarbe, J. de Vicente +13
The Dark Energy Survey (DES) provides optical data across 5000 square degrees of the southern sky, enabling a broad range of extragalactic and cosmological studies. Combining DES d…
Dark Energy Survey Year 6 Results: Redshift Calibration of the Weak Lensing Source Galaxies
B. Yin, A. Amon, A. Campos +95
Determining the distribution of redshifts for galaxies in wide-field photometric surveys is essential for robust cosmological studies of weak gravitational lensing. We present the…
The DECam MAGIC Survey: Uncovering the Tidal Tails of the Crater II Dwarf Galaxy
Kaia R. Atzberger, Andrew B. Pace, Nitya Kallivayalil +27
Crater II (CraII), a large and low-density dwarf spheroidal galaxy, has unusual observed properties that are difficult to reproduce in cold dark matter simulations. Ongoing tidal d…
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…
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…