activity
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

collaborators

18 papers

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…

astro-ph.GA2025

From ASTRID to BRAHMA -- The role of overmassive black holes in little red dots in cosmological simulations

Patrick LaChance, Aklant Kumar Bhowmick, Rupert A. C. Croft +8

We leverage the overmassive black holes () present in a realization of the BRAHMA cosmological hydrodynamic simulation suite to investigate their ro…

astro-ph.GA2025★ 8 cited

The ASTRID Simulation at z=0: From Massive Black Holes to Large-scale Structure

Yihao Zhou, Tiziana Di Matteo, Simeon Bird +7

We present the results for the cosmological simulation ASTRID. Hosting 0.33 trillion particles in a box of per side, ASTRID is one o…

astro-ph.IM2025

Bridging Literature and the Universe Via A Multi-Agent Large Language Model System

Xiaowen Zhang, Zhenyu Bi, Patrick Lachance +3

As cosmological simulations and their associated software become increasingly complex, physicists face the challenge of searching through vast amounts of literature and user manual…

astro-ph.CO2025★ 3 cited

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…

astro-ph.CO2025★ 2 cited

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…

astro-ph.CO2024★ 4 cited

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…

astro-ph.GA2024★ 6 cited

Astrometric Jitter as a Detection Diagnostic for Recoiling and Slingshot Supermassive Black Hole Candidates

Anavi Uppal, Charlotte Ward, Suvi Gezari +4

Supermassive black holes (SMBHs) can be ejected from their galactic centers due to gravitational wave recoil or the slingshot mechanism following a galaxy merger. If an ejected SMB…

astro-ph.GA2024★ 12 cited

The evolution of galaxy morphology from redshift z=6 to 3: Mock JWST observations of galaxies in the ASTRID simulation

Patrick LaChance, Rupert Croft, Yueying Ni +3

We present mock JWST observations for more than 250,000 different galaxies from the Astrid simulation with . The mock observations are made using the BPASS stellar…

astro-ph.GA2023★ 2 cited

z~2 dual AGN host galaxies are disky: stellar kinematics in the ASTRID Simulation

Ekaterine Dadiani, Tiziana Di Matteo, Nianyi Chen +6

We study dual AGN host galaxy morphologies at using the ASTRID simulation, selecting black hole (BH) pairs with small separation (), high mass ($M_{\text{BH,12…

astro-ph.GA2023★ 1 cited

Fly-by galaxy encounters with multiple black holes produce star-forming linear wakes

Nianyi Chen, Patrick LaChance, Yueying Ni +4

We look for simulated star-forming linear wakes such as the one recently discovered by van Dokkum et al. (2023) in the cosmological hydrodynamical simulation ASTRID. Amongst the ru…

astro-ph.CO2023★ 13 cited

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…

astro-ph.CO2022★ 1 cited

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…

astro-ph.CO2021★ 38 cited

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…