57 citations · 217 across the 26 of their papers we have counts for
7 papers · 1 filter
Measuring the splashback feature: Dependence on halo properties and history
Qiaorong S. Yu, Stephanie O'Neil, Xuejian Shen +7
In this study, we define the novel splashback depth and width to examine how the splashback features of dark matter haloes are affected by the physical…
Supersizing hydrodynamical simulations of reionization using perturbative techniques
Wenzer Qin, Katelin Schutz, Olivia Rosenstein +2
We show that perturbative techniques inspired by effective field theory (EFT) can be used to "paint on" the 21~cm field during reionization using only the underlying linear density…
Structure Formation under Inelastic Two-Component Dark Matter: Halo Statistics and Matter Power Spectra in the High- Universe
Ryan Low, Rakshak Adhikari, Jonah C. Rose +4
We present hydrodynamic simulations of a flavour-mixed two-component dark matter (2cDM) model that utilize IllustrisTNG baryonic physics. The model parameters are explored for two…
Novel density profile for isothermal cores of dark matter halos
Vinh Tran, Xuejian Shen, Mark Vogelsberger +5
We present a novel analytic density profile for halos in self-interacting dark matter (SIDM) models, which accurately captures the isothermal-core configuration, i.e. where both th…
Dynamical friction and measurements of the splashback radius in galaxy clusters
Talia M. O'Shea, Josh Borrow, Stephanie O'Neil +1
The splashback radius is one popular method of constraining the size of galaxy clusters, often measured through the logarithmic derivative of the galaxy number density profile. How…
Varying primordial state fractions in exo- and endothermic SIDM simulations of Milky Way-mass haloes
Aidan Leonard, Stephanie O'Neil, Xuejian Shen +5
Self-interacting dark matter (SIDM) is increasingly studied as a potential solution to small-scale discrepancies between simulations of cold dark matter (CDM) and observations. We…
Inferring Warm Dark Matter Masses with Deep Learning
Jonah C. Rose, Paul Torrey, Francisco Villaescusa-Navarro +6
We present a new suite of over 1,500 cosmological N-body simulations with varied Warm Dark Matter (WDM) models ranging from 2.5 to 30 keV. We use these simulations to train Convolu…