activity
20242026
most citedIntroducing cosmosTNG: simulating galaxy formation with constrained realizations of the COSMOS field

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.GA2026

Inferring the mass of the circumgalactic medium using X-ray resonant scattering

Nhut Truong, Maxim Markevitch, Dylan Nelson +1

The circumgalactic medium (CGM) regulates galaxy growth and retains the imprint of feedback from supernovae and supermassive black holes. However, the bulk of the hot CGM produces…

astro-ph.GA2025

THOR: a GPU-accelerated and MPI-parallel radiative transfer code

Chris Byrohl, Dylan Nelson

Emission and absorption line features are important diagnostics for the physics underlying extragalactic astronomy. The interpretation of observed signatures involves comparing aga…

astro-ph.IM2024

votess: A multi-target, GPU-capable, parallel Voronoi tessellator

Samridh Dev Singh, Chris Byrohl, Dylan Nelson

votess is a library for computing parallel 3D Voronoi tessellations on heterogeneous platforms, from CPUs and GPUs, to future accelerator architectures. To do so, it leverages the…

astro-ph.GA2024★ 4 cited

Introducing cosmosTNG: simulating galaxy formation with constrained realizations of the COSMOS field

Chris Byrohl, Dylan Nelson, Benjamin Horowitz +2

We introduce the new cosmological simulation project cosmosTNG, a first-of-its-kind suite of constrained galaxy formation simulations for the universe at Cosmic Noon (). c…

astro-ph.IM2024

scida: scalable analysis for scientific big data

Chris Byrohl, Dylan Nelson

scida is a Python package for reading and analyzing large scientific data sets with support for various cosmological and galaxy formation simulations out-of-the-box. Data access is…