231 citations · 3.5k across the 111 of their papers we have counts for
49 papers · 1 filter
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…
ELUCID VIII: Simulating the Coma Galaxy Cluster to Calibrate Model and Understand Feedback
Xiong Luo, Huiyuan Wang, Weiguang Cui +9
We conducted an investigation of the Coma cluster of galaxies by running a series of constrained hydrodynamic simulations with GIZMO-SIMBA and GADGET-3, based on initial conditions…
The localization of galaxy groups in close proximity to galaxy clusters using cosmic web nodes
Daniel J. Cornwell, Ulrike Kuchner, Meghan E. Gray +4
We investigate the efficacy of using the cosmic web nodes identified by the DisPerSE topological filament finder to systematically identify galaxy groups in the infall regions arou…
The Three Hundred: relation
Atulit Srivastava, Weiguang Cui, Massimo Meneghetti +8
In this study, we investigate a recent finding based on strong lensing observations, which suggests that the sub-halos observed in clusters exhibit greater compactness compared to…
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…
Outshining by Recent Star Formation Prevents the Accurate Measurement of High-z Galaxy Stellar Masses
Desika Narayanan, Sidney Lower, Paul Torrey +10
In this paper, we demonstrate that the inference of galaxy stellar masses via spectral energy distribution (SED) fitting techniques for galaxies formed in the first billion years a…