1.3k citations · 4k across the 78 of their papers we have counts for
10 papers · 1 filter
Detection of anti-correlation of hot and cold baryons in galaxy clusters
Arya Farahi, Sarah L. Mulroy, August E. Evrard +10
The largest clusters of galaxies in the Universe contain vast amounts of dark matter, plus baryonic matter in two principal phases, a majority hot gas component and a minority cold…
Identification of RR Lyrae stars in multiband, sparsely-sampled data from the Dark Energy Survey using template fitting and Random Forest classification
K. M. Stringer, J. P. Long, L. M. Macri +75
Many studies have shown that RR Lyrae variable stars (RRL) are powerful stellar tracers of Galactic halo structure and satellite galaxies. The Dark Energy Survey (DES), with its de…
Mass Variance from Archival X-ray Properties of Dark Energy Survey Year-1 Galaxy Clusters
A. Farahi, X. Chen, A. E. Evrard +76
Using archival X-ray observations and a log-normal population model, we estimate constraints on the intrinsic scatter in halo mass at fixed optical richness for a galaxy cluster sa…
Dark Matter Science in the Era of LSST
Keith Bechtol, Alex Drlica-Wagner, Kevork N. Abazajian +177
Astrophysical observations currently provide the only robust, empirical measurements of dark matter. In the coming decade, astrophysical observations will guide other experimental…
Stellar mass as a galaxy cluster mass proxy: application to the Dark Energy Survey redMaPPer clusters
A. Palmese, J. Annis, J. Burgad +82
We introduce a galaxy cluster mass observable, , based on the stellar masses of cluster members, and we present results for the Dark Energy Survey (DES) Year 1 observation…
The Role of Machine Learning in the Next Decade of Cosmology
Michelle Ntampaka, Camille Avestruz, Steven Boada +27
In recent years, machine learning (ML) methods have remarkably improved how cosmologists can interpret data. The next decade will bring new opportunities for data-driven cosmologic…