From the 1 of 56 linked papers with an AI index.
2 citations · 3 across the 5 of their papers we have counts for
56 papers
OzDES Reverberation Mapping Program: CIV lags from six years of data
A. Penton, H. McDougall, T. M. Davis +52
The paper reports 29 successful CIV reverberation time‑lag measurements for high‑redshift active galactic nuclei from the OzDES survey, derives black‑hole masses of 0.8–1.3 billion…
Galaxy Clusters Selected via the Sunyaev-Zel'dovich Effect in 5 year data from the SPT-3G Main Survey
L. E. Bleem, M. Klein, K. Kornoelje +148
We report a new galaxy cluster catalog, selected using the thermal Sunyaev-Zel'dovich (SZ) effect, from 5 years of observations of the SPT-3G Main field. Drawn from arcminute-resol…
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…
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…
Constraints on the normal branch of DGP gravity from SPT galaxy clusters with DES and HST weak-lensing mass calibration and from Planck PR4 CMB anisotropies
S. M. L. Vogt, S. Bocquet, C. T. Davies +49
We present constraints on the normal branch of the Dvali-Gabadadze-Porrati (nDGP) braneworld gravity model from the abundance of massive galaxy clusters. On scales below the nDGP c…
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…