38 citations · 90 across the 17 of their papers we have counts for
7 papers · 1 filter
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…
The Properties of Little Red Dot Galaxies in the ASTRID Simulation
Patrick LaChance, Rupert A. C. Croft, Tiziana Di Matteo +5
We present simulated counterparts of the ``Little Red Dot'' (LRD) galaxies observed with JWST, using the large cosmological hydrodynamic simulation, ASTRID. We create mock observat…
Large-scale surveys of the quasar proximity effect
Rupert A. C. Croft, Patrick Shaw, Ann-Marsha Alexis +6
The UV radiation from high redshift quasars causes a local deficit in the neutral hydrogen absorption (Lyman-alpha forest) in their spectra, known as the proximity effect. Measurem…
AI-assisted super-resolution cosmological simulations IV: An emulator for deterministic realizations
Xiaowen Zhang, Patrick Lachance, Ankita Dasgupta +5
Super-resolution (SR) models in cosmological simulations use deep learning (DL) to rapidly enhance low-resolution (LR) runs with statistically correct fine details. These models pr…
AI-assisted super-resolution cosmological simulations III: Time evolution
Xiaowen Zhang, Patrick Lachance, Yueying Ni +5
In this work, we extend our recently developed super-resolution (SR) model for cosmological simulations to produce fully time consistent evolving representations of the particle ph…
Super-resolution simulation of the Fuzzy Dark Matter cosmological model
Meris Sipp, Patrick LaChance, Rupert Croft +2
AI super-resolution, combining deep learning and N-body simulations has been shown to successfully reproduce the large scale structure and halo abundances in the Lambda Cold Dark M…
AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics
Yueying Ni, Yin Li, Patrick Lachance +4
In this work, we expand and test the capabilities of our recently developed super-resolution (SR) model to generate high-resolution (HR) realizations of the full phase-space matter…