218 citations · 1.3k across the 29 of their papers we have counts for
31 papers
TNG SAM: Bridging Hydrodynamical Complexity and Semi-Analytic Efficiency to Model Galaxy Formation
Osase Omoruyi, Bryan A. Terrazas, Yossi Oren +5
All cosmological models of galaxy formation must navigate the trade-off between physical accuracy and computational efficiency. Hydrodynamical simulations provide spatially resolve…
ArkenstoneBH. A model for high-specific energy black hole feedback in cosmological simulations
James M. Sullivan, Greg L. Bryan, Matthew C. Smith +6
AGN feedback is a key piece of galaxy evolution but is difficult to model due to its high specific energies, multiphase nature, and limited simulation resolutions. Arkenstone is a…
Introducing sapphire: Towards Hybrid Physics-Informed, Data-Driven Modeling of Galaxy Formation
Viraj Pandya, Greg L. Bryan, T. Lucas Makinen +18
Semi-analytic models (SAMs) have been treating galaxy populations as dynamical systems for years, but their evolution equations remain poorly constrained. We introduce…
The Blue Jay Survey: Deep JWST Spectroscopy for a Representative Sample of Galaxies at Cosmic Noon
Sirio Belli, Letizia Bugiani, Minjung Park +17
We present the Blue Jay survey, a cycle 1 JWST program aimed at studying the stellar and gas content of galaxies at cosmic noon. The survey consists of deep spectroscopy for 153 ta…
Enhanced Star Formation and Black Hole Accretion Rates in Galaxy Mergers in IllustrisTNG50
Aimee L. Schechter, Shy Genel, Bryan Terrazas +6
Many theoretical and observational studies have suggested that galaxy mergers may trigger enhanced star formation or active galactic nuclei (AGN) activity. We present an analysis o…
MISTRAL: a model for AGN winds from radiatively efficient accretion in cosmological simulations
Marion Farcy, Michaela Hirschmann, Rachel S. Somerville +11
Feedback from active galactic nuclei (AGN) is crucial for regulating galaxy evolution. Motivated by observations of broad absorption line winds from rapidly accreting supermassive…