85 citations · 468 across the 11 of their papers we have counts for
11 papers
SatGen -- II. Assessing the impact of a disc potential on subhalo populations
Sheridan B. Green, Frank C. van den Bosch, Fangzhou Jiang
The demographics of dark matter substructure depend sensitively on the nature of dark matter. Optimally leveraging this probe requires accurate theoretical predictions regarding th…
Emulating Sunyaev-Zeldovich Images of Galaxy Clusters using Auto-Encoders
Tibor Rothschild, Daisuke Nagai, Han Aung +3
We develop a machine learning algorithm that generates high-resolution thermal Sunyaev-Zeldovich (SZ) maps of novel galaxy clusters given only halo mass and mass accretion rate. Th…
The tidal evolution of dark matter substructure -- II. The impact of artificial disruption on subhalo mass functions and radial profiles
Sheridan B. Green, Frank C. van den Bosch, Fangzhou Jiang
Several recent studies have indicated that artificial subhalo disruption (the spontaneous, non-physical disintegration of a subhalo) remains prevalent in state-of-the-art dark matt…
SatGen: a semi-analytical satellite galaxy generator -- I. The model and its application to Local-Group satellite statistics
Fangzhou Jiang, Avishai Dekel, Jonathan Freundlich +5
We present a semi-analytic model of satellite galaxies, SatGen, which can generate large samples of satellite populations for a host halo of desired mass, redshift, and assembly hi…
Scatter in Sunyaev--Zel'dovich effect scaling relations explained by inter-cluster variance in mass accretion histories
Sheridan B. Green, Han Aung, Daisuke Nagai +1
X-ray and microwave cluster scaling relations are immensely valuable for cosmological analysis. However, their power is limited by astrophysical systematics that bias mass estimate…
Dynamical self-friction: how mass loss slows you down
Tim B. Miller, Frank C. van den Bosch, Sheridan B. Green +1
We investigate dynamical self-friction, the process by which material that is stripped from a subhalo torques its remaining bound remnant, which causes it to lose orbital angular m…
The tidal evolution of dark matter substructure -- I. Subhalo density profiles
Sheridan B. Green, Frank C. van den Bosch
Accurately predicting the abundance and structural evolution of dark matter subhaloes is crucial for understanding galaxy formation, modeling galaxy clustering, and constraining th…
Using X-Ray Morphological Parameters to Strengthen Galaxy Cluster Mass Estimates via Machine Learning
Sheridan B. Green, Michelle Ntampaka, Daisuke Nagai +4
We present a machine learning approach for estimating galaxy cluster masses, trained using both Chandra and eROSITA mock X-ray observations of 2,041 clusters from the Magneticum si…
DASH: a library of dynamical subhalo evolution
Go Ogiya, Frank C. van den Bosch, Oliver Hahn +3
The abundance and demographics of dark matter substructure is important for many areas in astrophysics and cosmological -body simulations have been the primary tool used to inve…
Finding cosmic voids and filament loops using topological data analysis
Xin Xu, Jessi Cisewski-Kehe, Sheridan B. Green +1
(abridged) We present the Significant Cosmic Holes in Universe (SCHU) method for identifying cosmic voids and loops of filaments in cosmological datasets and assigning their statis…
Distribution of volume, microvoid percolation, and packing density in globular proteins
Jenny Farmer, Sheridan B. Green, Donald J. Jacobs
A fast and accurate grid-based method with low memory requirement is presented to calculate volume characteristics in molecular systems. The distribution of volume and packing dens…