Machine learning (ML) encompasses a broad range of algorithms and modeling tools used
for a vast array of data processing tasks, which has entered most scientific disciplines in …

Photometric redshifts are essential in studies of both galaxy evolution and cosmology, as
they enable analyses of objects too numerous or faint for spectroscopy. The Rubin …

This work, together with its companion paper, Secco, Samuroff et al.[Phys. Rev. D 105,
023515 (2022) PRVDAQ 2470-0010 10.1103/PhysRevD. 105.023515], present the Dark …

We measure cosmic weak lensing shear power spectra with the Subaru Hyper Suprime-
Cam (HSC) survey first-year shear catalog covering 137 deg2 of the sky. Thanks to the high …

We use 26× 10 6 galaxies from the Dark Energy Survey (DES) Year 1 shape catalogs over
1321 deg 2 of the sky to produce the most significant measurement of cosmic shear in a …

We present cosmological parameter constraints from a tomographic weak gravitational
lensing analysis of∼ 450 deg2 of imaging data from the Kilo Degree Survey (KiDS). For a …

We present the first cosmological parameter constraints using measurements of type Ia
supernovae (SNe Ia) from the Dark Energy Survey Supernova Program (DES-SN). The …

Determining the distribution of redshifts of galaxies observed by wide-field photometric
experiments like the Dark Energy Survey (DES) is an essential component to mapping the …

We describe the creation, content, and validation of the Dark Energy Survey (DES) internal
year-one cosmology data set, Y1A1 GOLD, in support of upcoming cosmological analyses …

We present redshift distribution estimates of galaxies selected from the fourth data release of
the Kilo-Degree Survey over an area of∼ 1000 deg 2 (KiDS-1000). These redshift …