14 papers
Quantifying the Impact of Incompleteness on Identifying and Interpreting Galaxy Protocluster Populations with the TNG-Cluster Simulation
Devontae C. Baxter, Alison L. Coil, Ethan O. Nadler +7
We use the TNG-Cluster simulation to investigate how stellar mass and star formation rate (SFR) incompleteness affect the identification of density peaks within galaxy protocluster…
The host halo masses of AGNs and quasars at with TNG-Cluster, FLAMINGO and other cosmological galaxy simulations
Akanksha Kapahtia, Annalisa Pillepich, Joey Braspenning +5
Most observations and clustering analyses suggest that quasars inhabit a narrow range of dark-matter halo masses ( M) across cosmic time (). Recen…
Bulk vs. turbulent motions at the centres of galaxy clusters: AGN-driven turbulence according to TNG-Cluster
Bipradeep Saha, Annalisa Pillepich, Joey Braspenning +3
The highly dynamic intracluster medium (ICM) influences cluster thermodynamic evolution and probes key physical processes. Quantifying the non-thermal motions is therefore essentia…
Zooming in on the circumgalactic medium with GIBLE: Cloud-scale simulations with cosmological initial conditions
Rahul Ramesh, Dylan Nelson, Drummond Fielding +1
We conduct simulations of kpc-scale cool clouds in the circumgalactic medium (CGM), using initial conditions sampled from a highly resolved cosmological magneto-hydrodynamica…
The temperature and metallicity distributions of the ICM: insights with TNG-Cluster for XRISM-like observations
Dimitris Chatzigiannakis, Annalisa Pillepich, Aurora Simionescu +2
The new era of high-resolution X-ray spectroscopy will significantly improve our understanding of the intra-cluster medium (ICM) by providing precise constraints on its underlying…
ERGO-ML: The assembly histories of HSC galaxy images via invertible neural networks, contrastive learning, and cosmological simulations
Lukas Eisert, Connor Bottrell, Annalisa Pillepich +4
In this paper of ERGO-ML (Extracting Reality from Galaxy Observables with Machine Learning), we develop a model that infers the merger/assembly histories of galaxies directly from…