From the 1 of 34 linked papers with an AI index.
33 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…
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…
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…
DELVE Milky Way Satellite Galaxy Census I: Satellite Population and Survey Selection Function in DES, DELVE, and Pan-STARRS
C. Y. Tan, A. Drlica-Wagner, A. B. Pace +84
The properties of Milky Way satellite galaxies have important implications for galaxy formation, reionization, and the fundamental physics of dark matter. However, the population o…
Dark Energy Survey Year 6 Results: Clustering-redshifts and importance sampling of Self-Organised-Maps realizations for pt samples
W. d'Assignies, G. M. Bernstein, B. Yin +92
This work is part of a series establishing the redshift framework for the pt analysis of the Dark Energy Survey Year 6 (DES Y6). For DES Y6, photometric redshift distribu…
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…