20 citations · 27 across the 11 of their papers we have counts for
7 papers · 1 filter
Active galactic nucleus driven jet feedback in cosmologically forming cool-core galaxy clusters I: The effect of hierarchical assembly on intra-cluster medium properties
Rainer Weinberger, Lorenzo Maria Perrone, Christoph Pfrommer +7
The atmospheres of cool-core galaxy clusters are excellent probes of astrophysical plasmas. However, how the interplay between assembly and active galactic nucleus (AGN) feedback l…
The Lumina Project: Intergalactic Clumping and Recombination Sinks
Ali Sadain, Aaron Smith, Oliver Zier +10
Recombinations during the Epoch of Reionization are intrinsically inhomogeneous, with different regions of the intergalactic medium contributing unevenly depending on their density…
The Lumina Project: The Demographics of Active Galactic Nuclei from Quasars to Little Red Dots at
Xuejian Shen, Oliver Zier, Aaron Smith +16
High-redshift active galactic nuclei (AGN) serve as powerful probes of early black-hole growth, galaxy formation, and the evolving intergalactic medium (IGM). In this work, we use…
Towards physically more comprehensive AGN modelling in cosmological simulations: A MACER-based modification of IllustrisTNG
Bocheng Zhu, Volker Springel, Feng Yuan
Active galactic nuclei (AGN) feedback plays a significant role in many aspects of galaxy formation and evolution and has become a key ingredient in cosmological simulations. Howeve…
From atoms to stars: Modelling formation and its impact on galactic evolution
E. Lozano, C. Scannapieco, S. E. Nuza +2
We present a sub-grid model for star formation in galaxy simulations, incorporating molecular hydrogen () production via dust grain condensation and its destruction t…
The Milky Way in context: The formation of galactic discs and chemical sequences from a cosmological perspective
Matthew D. A. Orkney, Chervin F. P. Laporte, Robert J. J. Grand +1
We study the formation of chemical sequences in the stellar disc of Milky Way (MW)-mass galaxies in a full cosmological context with the auriga simulations. We focus on the conditi…
A deep learning model for the density profiles of subhaloes in IllustrisTNG
Luisa Lucie-Smith, Giulia Despali, Volker Springel
We present a machine-learning-based model for the total density profiles of subhaloes with masses in the IllustrisTNG100 simulation. T…