29 citations · 70 across the 14 of their papers we have counts for
11 papers · 1 filter
The Deep Learning Halo Definer: A Multimodal Framework for Halo Mass and Gas Fraction Inference on Galaxy Groups and Clusters
Caleb Ogle, Kalvyn N. Poncelet Adams, Benjamin D. Oppenheimer +5
Accurately inferring dark matter halo properties like the total halo mass (M_{halo}) and gas fractions (f_{gas}) remains particularly challenging at group scales, where low member…
CNN-Based Inference of Gaseous Halo Properties from Synthetic X-ray and 21-cm HI Observations
Kalvyn N. Poncelet Adams, Benjamin D. Oppenheimer, Naomi Gluck +3
Quantifying the information content in multi-wavelength observations is critical for setting exposure times for upcoming X-ray and 21-cm HI radio surveys. We train convolutional ne…
Beyond Feedback: Disentangling Baryonic Effects with tSZFRB Cross-Correlations
Isabel Medlock, Daisuke Nagai
Standard observational probes lack the sensitivity to characterize the interplay between feedback-driven gas ejection and non-thermal pressure support in groups and clusters, and c…
CAMELS Environments: The Impact of Local Neighbours on Galaxy Evolution across the SIMBA, IllustrisTNG, ASTRID, and Swift-EAGLE Simulations
Xavier Sims, Daniel Anglés-Alcázar, Boon-Kiat Oh +6
Internal feedback from massive stars and active galactic nuclei (AGN) play a key role in galaxy evolution, but external environmental effects can also strongly influence galaxies.…
Introducing the Descriptive Parametric Model: Gaseous Profiles for Galaxies, Groups, and Clusters
Benjamin D. Oppenheimer, G. Mark Voit, Yannick M. Bahé +14
We develop and present the Descriptive Parametric Model (DPM), a tool for generating profiles of gaseous halos (pressure, electron density, and metallicity) as functions of radius,…
X-raying CAMELS: Constraining Baryonic Feedback in the Circum-Galactic Medium with the CAMELS simulations and eRASS X-ray Observations
Erwin T. Lau, Daisuke Nagai, Ákos Bogdán +7
The circumgalactic medium (CGM) around massive galaxies plays a crucial role in regulating star formation and feedback. Using the CAMELS simulation suite, we develop emulators for…
Quantifying Baryonic Feedback on Warm-Hot Circumgalactic Medium in CAMELS Simulations
Isabel Medlock, Chloe Neufeld, Daisuke Nagai +6
The baryonic physics shaping galaxy formation and evolution are complex, spanning a vast range of scales and making them challenging to model. Cosmological simulations rely on subg…
Comparison of Models for the Warm-Hot Circumgalactic Medium around Milky Way-like Galaxies
Priyanka Singh, Erwin T. Lau, Yakov Faerman +2
A systematic comparison of the models of the circumgalactic medium (CGM) and their observables is crucial to understanding the predictive power of the models and constraining physi…
Zooming by in the CARPoolGP lane: new CAMELS-TNG simulations of zoomed-in massive halos
Max E. Lee, Shy Genel, Benjamin D. Wandelt +10
Galaxy formation models within cosmological hydrodynamical simulations contain numerous parameters with non-trivial influences over the resulting properties of simulated cosmic str…
Probing the Circum-Galactic Medium with Fast Radio Bursts: Insights from the CAMELS Simulations
Isabel Medlock, Daisuke Nagai, Priyanka Singh +3
Most diffuse baryons, including the circumgalactic medium (CGM) surrounding galaxies and the intergalactic medium (IGM) in the cosmic web, remain unmeasured and unconstrained. Fast…
An Observationally Driven Multifield Approach for Probing the Circum-Galactic Medium with Convolutional Neural Networks
Naomi Gluck, Benjamin D. Oppenheimer, Daisuke Nagai +2
The circum-galactic medium (CGM) can feasibly be mapped by multiwavelength surveys covering broad swaths of the sky. With multiple large datasets becoming available in the near fut…