activity
20232026
most citedCharacterising ultra-high-redshift dark matter halo demographics and assembly histories with the GUREFT simulations

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

collaborators

5 papers

astro-ph.CO2026

Field-Level Inference from Galaxies: BAO Reconstruction

Adrian E. Bayer, Liam Parker, David Valcin +3

Baryon acoustic oscillations (BAO) underpin the key cosmological results from modern spectroscopic galaxy surveys, but nonlinear gravitational evolution limits the precision achiev…

astro-ph.CO2025

Galactification: painting galaxies onto dark matter only simulations using a transformer-based model

Shivam Pandey, Christopher C. Lovell, Chirag Modi +1

Connecting the formation and evolution of galaxies to the large-scale structure is crucial for interpreting cosmological observations. While hydrodynamical simulations accurately m…

astro-ph.GA2025

FLORAH-Tree: Emulating Dark Matter Halo Merger Trees with Graph Generative Models

Tri Nguyen, Chirag Modi, Siddharth Mishra-Sharma +2

Merger trees track the hierarchical assembly of dark matter halos across cosmic time and serve as essential inputs for semi-analytic models of galaxy formation. However, convention…

astro-ph.CO2024

Teaching dark matter simulations to speak the halo language

Shivam Pandey, Francois Lanusse, Chirag Modi +1

We develop a transformer-based conditional generative model for discrete point objects and their properties. We use it to build a model for populating cosmological simulations with…

astro-ph.CO2023★ 4 cited

Characterising ultra-high-redshift dark matter halo demographics and assembly histories with the GUREFT simulations

L. Y. Aaron Yung, Rachel S. Somerville, Tri Nguyen +3

Dark matter halo demographics and assembly histories are a manifestation of cosmological structure formation and have profound implications for the formation and evolution of galax…