14 citations · 16 across the 2 of their papers we have counts for
7 papers
Counterpart identification and classification for eRASS1 and characterisation of the AGN content
M. Salvato, J. Wolf, T. Dwelly +44
[abridged] Accurately accounting for the AGN phase in galaxy evolution requires a large, clean AGN sample. This is now possible with SRG/eROSITA. The public Data Release 1 (DR1, Ja…
Searching for supermassive black holes binaries within SRG/eROSITA-De I: Properties of the X-ray selected candidates
D. Tubín-Arenas, M. Krumpe, D. Homan +20
Abridged: Supermassive black hole binaries (SMBHBs) separated by (sub)-pc scales represent one of the latest stages of hierarchical galaxy assembly. However, many of these objects…
The eROSITA view on the halo mass-temperature relation: From low-mass groups to massive clusters
V. Toptun, P. Popesso, I. Marini +15
Galaxy groups and clusters are among the best probes of structure formation and growth in a cosmological context. Most of their baryonic component is dominated by the intracluster…
The First SRG/eROSITA All-Sky Survey. Characterization of clusters of galaxies misclassified in the eRASS1 point source catalog
F. Balzer, E. Bulbul, M. Kluge +20
The detection of the extended X-ray-emission of the intracluster medium by the first SRG/eROSITA All-Sky Survey (eRASS1), combined with optical and near-infrared follow-up, resulte…
Average X-ray properties of galaxy groups. From Milky Way-like halos to massive clusters
P. Popesso, I. Marini, K. Dolag +20
This study examines the average X-ray properties of massive halos at z< 0.2, covering the largest halo mass range to date, from Milky Way-like halos to massive clusters. The analys…
The perils of stacking optically selected groups in eROSITA data. The Magneticum perspective
P. Popesso, I. Marini, K. Dolag +23
Hydrodynamical simulation predictions are often compared with observational data without fully accounting for systematics and biases specific to observational techniques. Using the…