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20212026
most citedAI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics

38 citations · 90 across the 17 of their papers we have counts for

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astro-ph.CO2026

AI-assisted super-resolution cosmological simulations V: Cosmology-aware super-resolution

Xiaowen Zhang, Patrick Lachance, Rupert A. C. Croft +2

We present a cosmology-aware generative model for super-resolution (SR) of cosmological -body simulations in particle phase space. The model jointly generates displacements and…

astro-ph.GA2026

The lifetimes and properties of Little Red Dots in the AMBRA simulation

Patrick LaChance, Yihao Zhou, Aklant Kumar Bhowmick +6

We identify and analyze the little red dots (LRDs) in the AMBRA cosmological hydrodynamic simulation, by producing mock observations of the galaxies and active galactic nuclei (AGN…

astro-ph.GA2026

Theoretical emission lines and metallicity calibrations of H II regions in ASTRID simulation

Yao Yao, Kathryn Grasha, Stuart Wyithe +5

We present a theoretical framework to derive redshift-dependent metallicity calibrations for galaxies at =2-7. The ionization parameter () and gas pressure () in our appro…

astro-ph.GA2026

The Galaxy Luminosity Functions in ASTRID: Predictions for LSST

Fatemeh Hafezianzadeh, Tianqing Zhang, Paul Rogozenski +6

We present validated and forward-modelled galaxy luminosity functions and photometric predictions for the Vera C. Rubin Observatory Legacy Survey of Space and Time using the ASTRID…

astro-ph.GA2026

First results of AMBRA: Abundant Seeds and Early Mergers as a Pathway to the First Massive Black Holes

Yihao Zhou, Aklant Kumar Bhowmick, Tiziana Di Matteo +6

AMBRA combines the large cosmological volume and statistical power of ASTRID with the physically motivated gas-based black hole seeding models from BRAHMA. Motivated by JWST's disc…