21 citations · 31 across the 6 of their papers we have counts for
6 papers
Pumping Iron: How turbulent metal diffusion impacts multiphase galactic outflows
Ulrich P. Steinwandel, Douglas Rennehan, Matthew E. Orr +2
Most numerical simulations of galaxy formation and evolution are unable to properly resolve the turbulent cascade at or below the resolution scale and turbulence models are require…
A massive, neutral gas reservoir permeating a galaxy proto-cluster after the reionization era
Kasper E. Heintz, Jake S. Bennett, Pascal A. Oesch +21
Galaxy clusters are the most massive, gravitationally-bound structures in the Universe, emerging through hierarchical structure formation of large-scale dark matter and baryon over…
A 100 Mpc structure traced by hyperluminous galaxies around a massive = 2.85 protocluster
George C. P. Wang, Scott C. Chapman, Nikolaus Sulzenauer +9
We present wide-field mapping at 850 m and 450 m of the = 2.85 protocluster in the HS154919 field using the Submillimetre Common User Bolometer Array 2 (SCUBA-2). Spec…
\texttt{Simba}-\texttt{C}: the evolution of the thermal and chemical properties in the intragroup medium
Renier T. Hough, Zhiwei Shao, Weiguang Cui +5
The newly updated \texttt{GIZMO} and \texttt{Simba} based simulation, \texttt{Simba-C}, with its new stellar feedback, chemical enrichment, and recalibrated AGN feedback, allows fo…
Identifying Galaxy Cluster Mergers with Deep Neural Networks using Idealized Compton-y and X-ray maps
Ashleigh R. Arendt, Yvette C. Perrott, Ana Contreras-Santos +3
We present a novel approach to identify galaxy clusters that are undergoing a merger using a deep learning approach. This paper uses massive galaxy clusters spanning $0 \leq z \leq…
SIMBA-C: An updated chemical enrichment model for galactic chemical evolution in the SIMBA simulation
Renier T. Hough, Douglas Rennehan, Chiaki Kobayashi +4
We introduce a new chemical enrichment and stellar feedback model into GIZMO, using the SIMBA sub-grid models as a base. Based on the state-of-the-art chemical evolution model of K…