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19972026
most citedHow Do Galaxies Get Their Gas?

2.3k citations · 15.1k across the 152 of their papers we have counts for

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Showing 2021Show all

10 papers · 1 filter

astro-ph.CO2021★ 24 cited

The Three Hundred: Cluster Dynamical States and Relaxation Time Scale

Bowei Zhang, Weiguang Cui, Romeel Dave +1

Using the galaxy clusters from The Three Hundred Project, we define a new parameter: to describe the dynamical state of clusters, which assumes a double-Gaussian distribut…

astro-ph.GA2021★ 76 cited

How baryons affect halos and large-scale structure: a unified picture from the Simba simulation

Daniele Sorini, Romeel Dave, Weiguang Cui +1

Using the state-of-the-art suite of hydrodynamic simulations Simba, as well as its dark-matter-only counterpart, we study the impact of the presence of baryons and of different ste…

astro-ph.CO2021★ 2 cited

Inferring halo masses with Graph Neural Networks

Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar +7

Understanding the halo-galaxy connection is fundamental in order to improve our knowledge on the nature and properties of dark matter. In this work we build a model that infers the…

astro-ph.GA2021★ 14 cited

Rapidly quenched galaxies in the Simba cosmological simulation and observations

Yirui Zheng, Romeel Dave, Vivienne Wild +1

A wide range of mechanisms have been put forward to explain the quenching of star formation in galaxies with cosmic time, however, the true balance of responsible mechanisms remain…

astro-ph.GA2021★ 10 cited

Detection of a Multiphase Intragroup Medium: Results from the COS-IGrM Survey

Tyler McCabe, Sanchayeeta Borthakur, Timothy Heckman +3

We present the results of the COS Intragroup Medium (COS-IGrM) Survey that used the Cosmic Origins Spectrograph on the Hubble Space Telescope to observe a sample of 18 UV bright qu…

cs.LG2021★ 69 cited

The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence

Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar +25

We present the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) Multifield Dataset, CMD, a collection of hundreds of thousands of 2D maps and 3D grids containi…