29 citations · 70 across the 14 of their papers we have counts for
5 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.…
Cosmological back-reaction of baryons on dark matter in the CAMELS simulations
Matthew Gebhardt, Daniel Anglés-Alcázar, Shy Genel +13
Baryonic processes such as radiative cooling and feedback from massive stars and active galactic nuclei (AGN) directly redistribute baryons in the Universe but also indirectly redi…