12 citations · 26 across the 6 of their papers we have counts for
6 papers
Shaping the Milky Way. II. The dark matter halo's response to the LMC's passage in a cosmological context
Elise Darragh-Ford, Nicolas Garavito-Camargo, Arpit Arora +15
The distribution of dark matter in the Milky Way (MW) is expected to exhibit a large-scale dynamical response to the recent infall of the LMC. This event produces a dynamical frict…
Shaping the Milky Way: The interplay of mergers and cosmic filaments
Arpit Arora, Nicolás Garavito-Camargo, Robyn E. Sanderson +12
The large-scale morphology of Milky Way (MW)-mass dark matter (DM) halos is shaped by two key processes: filamentary accretion from the cosmic web and interactions with massive sat…
EDEN: Exploring Disks Embedded in N-body simulations of Milky-Way-mass halos from Symphony
Yunchong Wang, Philip Mansfield, Ethan O. Nadler +4
We investigate the impact of galactic disks on the tidal stripping of cold dark matter subhalos within Milky Way (MW)-mass halos () using…
A Generative Model for Realistic Galaxy Cluster X-ray Morphologies
Maya Benyas, Jordan Pfeifer, Adam B. Mantz +2
The X-ray morphologies of clusters of galaxies display significant variations, reflecting their dynamical histories and the nonlinear dependence of X-ray emissivity on the density…
Divergences in Color Perception between Deep Neural Networks and Humans
Ethan O. Nadler, Elise Darragh-Ford, Bhargav Srinivasa Desikan +4
Deep neural networks (DNNs) are increasingly proposed as models of human vision, bolstered by their impressive performance on image classification and object recognition tasks. Yet…
Symfind: Addressing the Fragility of Subhalo Finders and Revealing the Durability of Subhalos
Philip Mansfield, Elise Darragh-Ford, Yunchong Wang +2
A major question in CDM is what this theory actually predicts for the properties of subhalo populations. Subhalos are difficult to simulate and to find within simulations, and t…