activity
19992023
most citedChandra Cluster Cosmology Project III: Cosmological Parameter Constraints

1k citations · 9.9k across the 166 of their papers we have counts for

collaborators

168 papers

astro-ph.GA2023★ 4 cited

Cosmological baryon spread and impact on matter clustering in CAMELS

Matthew Gebhardt, Daniel Anglés-Alcázar, Josh Borrow +9

We quantify the cosmological spread of baryons relative to their initial neighboring dark matter distribution using thousands of state-of-the-art simulations from the Cosmology and…

astro-ph.GA2023★ 6 cited

Mapping the imprints of stellar and AGN feedback in the circumgalactic medium with X-ray microcalorimeters

Gerrit Schellenberger, Ákos Bogdán, John A. ZuHone +24

The Astro2020 Decadal Survey has identified the mapping of the circumgalactic medium (CGM, gaseous plasma around galaxies) as a key objective. We explore the prospects for characte…

astro-ph.GA2023★ 9 cited

Circumgalactic Medium on the Largest Scales: Detecting X-ray Absorption Lines with Large-Area Microcalorimeters

Akos Bogdan, Ildar Khabibullin, Orsolya Kovacs +22

The circumgalactic medium (CGM) plays a crucial role in galaxy evolution as it fuels star formation, retains metals ejected from the galaxies, and hosts gas flows in and out of gal…

astro-ph.CO2023

The Structure and Dynamics of Massive High- Cosmic-Web Filaments: Three Radial Zones in Filament Cross-Sections

Yue Samuel Lu, Nir Mandelker, S. Peng Oh +5

We analyse the internal structure and dynamics of cosmic-web filaments that connect massive high- haloes. Our analysis is based on a high-resolution AREPO cosmological simulatio…

astro-ph.GA2023★ 35 cited

The Evolving Effect Of Cosmic Web Environment On Galaxy Quenching

Farhanul Hasan, Joseph N. Burchett, Alyssa Abeyta +7

We investigate how cosmic web structures affect galaxy quenching in the IllustrisTNG (TNG100) cosmological simulations by reconstructing the cosmic web within each snapshot using t…

astro-ph.CO2023★ 15 cited

Benchmarks and Explanations for Deep Learning Estimates of X-ray Galaxy Cluster Masses

Matthew Ho, John Soltis, Arya Farahi +3

We evaluate the effectiveness of deep learning (DL) models for reconstructing the masses of galaxy clusters using X-ray photometry data from next-generation surveys. We establish t…