1k citations · 3.8k across the 73 of their papers we have counts for
74 papers
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 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…
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…
Matter Clustering in Astrid: Reduced Baryonic Suppression from Realistic Black Hole Dynamics
Yanhui Yang, Simeon Bird, Yihao Zhou +4
Baryonic feedback from active galactic nuclei (AGN) is often invoked as a major source of suppression in the matter power spectrum, with implications for precision cosmology and th…
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…
Connecting current and future dual AGN searches to LISA and PTA gravitational wave detections
Nianyi Chen, Yihao Zhou, Ekaterine Dadiani +10
Dual active galactic nuclei (DAGN) mark an observable stage of massive black hole (MBH) pairing in galaxy mergers and are precursors to the MBH binaries that generate low-frequency…