1.3k citations · 4k across the 78 of their papers we have counts for
8 papers · 1 filter
Dark Energy Survey Year 3 Results: Redshift Calibration of the MagLim Lens Sample from the combination of SOMPZ and clustering and its impact on Cosmology
G. Giannini, A. Alarcon, M. Gatti +111
We present an alternative calibration of the MagLim lens sample redshift distributions from the Dark Energy Survey (DES) first three years of data (Y3). The new calibration is base…
A Machine Learning Approach to Enhancing eROSITA Observations
John Soltis, Michelle Ntampaka, John Wu +5
The eROSITA X-ray telescope, launched in 2019, is predicted to observe roughly 100,000 galaxy clusters. Follow-up observations of these clusters from Chandra, for example, will be…
Dark Energy Survey Year 3 Results: Constraints on extensions to CDM with weak lensing and galaxy clustering
DES Collaboration, T. M. C. Abbott, M. Aguena +159
We constrain extensions to the CDM model using measurements from the Dark Energy Survey's first three years of observations and external data. The DES data are the two-point cor…
Correlations of Dark Matter, Gas and Stellar Profiles in Dark Matter Halos
Arya Farahi, Daisuke Nagai, Dhayaa Anbajagane
Halos of similar mass and redshift exhibit a large degree of variability in their differential properties, such as dark matter, hot gas, and stellar mass density profiles. This var…
C2-GaMe: Classification of Cluster Galaxy Membership with Machine Learning
Daniel Farid, Han Aung, Daisuke Nagai +2
We present Classification of Cluster GAlaxy MEmbers (C-GaMe), a classification algorithm based on a suite of machine learning models that differentiates galaxies into orbiting,…
Optical selection bias and projection effects in stacked galaxy cluster weak lensing
Hao-Yi Wu, Matteo Costanzi, Chun-Hao To +16
Cosmological constraints from current and upcoming galaxy cluster surveys are limited by the accuracy of cluster mass calibration. In particular, optically identified galaxy cluste…