activity
20202026
most citedA multi-simulation study of relativistic SZ temperature scalings in galaxy clusters and groups

27 citations · 95 across the 18 of their papers we have counts for

collaborators
Showing astro-ph.GAShow all

7 papers · 1 filter

astro-ph.GA2025

The NGC3109 Satellite System: The First Systematic Resolved Search for Dwarf Galaxies Around a SMC-mass Host

Amandine Doliva-Dolinsky, Burçin Mutlu-Pakdil, Denija Crnojević +38

We report the results of the deepest search to date for dwarf galaxies around NGC3109, a barred spiral galaxy with a mass similar to that of the Small Magellanic Cloud (SMC), using…

astro-ph.GA2024★ 19 cited

A Pride of Satellites in the Constellation Leo? Discovery of the Leo VI Milky Way Satellite Galaxy with DELVE Early Data Release 3

C. Y. Tan, W. Cerny, A. Drlica-Wagner +32

We report the discovery and spectroscopic confirmation of an ultra-faint Milky Way (MW) satellite in the constellation of Leo. This system was discovered as a spatial overdensity o…

astro-ph.GA2023

Subhalos in Galaxy Clusters: Coherent Accretion and Internal Orbits

Chi Han, Kuan Wang, Camille Avestruz +1

Subhalo dynamics in galaxy cluster host halos govern the observed distribution and properties of cluster member galaxies. We use the IllustrisTNG simulation to investigate the accr…

astro-ph.GA2023★ 4 cited

Baryonic Imprints on DM Halos: the concentration-mass relation and its dependence on halo and galaxy properties

Mufan Shao, Dhayaa Anbajagane

The halo concentration-mass relation has ubiquitous use in modeling the matter field for cosmological and astrophysical analyses, and including the imprints from galaxy formation p…

astro-ph.GA2022

\textsc{The Three Hundred} project: The \textsc{Gizmo-Simba} run

Weiguang Cui, Romeel Dave, Alexander Knebe +22

We introduce \textsc{Gizmo-Simba}, a new suite of galaxy cluster simulations within \textsc{The Three Hundred} project. \textsc{The Three Hundred} consists of zoom re-simulations o…

astro-ph.GA2022

The scatter in the galaxy-halo connection: a machine learning analysis

Richard Stiskalek, Deaglan J. Bartlett, Harry Desmond +1

We apply machine learning, a powerful method for uncovering complex correlations in high-dimensional data, to the galaxy-halo connection of cosmological hydrodynamical simulations.…