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Emulating Sunyaev-Zeldovich Images of Galaxy Clusters using Auto-Encoders
Tibor Rothschild, Daisuke Nagai, Han Aung +3
We develop a machine learning algorithm that generates high-resolution thermal Sunyaev-Zeldovich (SZ) maps of novel galaxy clusters given only halo mass and mass accretion rate. Th…
Galaxy Velocity Bias in Cosmological Simulations: Towards Percent-level Calibration
Dhayaa Anbajagane, Han Aung, August E. Evrard +8
Galaxy cluster masses, rich with cosmological information, can be estimated from internal dark matter (DM) velocity dispersions, which in turn can be observationally inferred from…
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…
Constraining Merging Galaxy Clusters with X-ray and Lensing Simulations and Observations: The case of Abell 2146
Urmila Chadayammuri, John ZuHone, Paul Nulsen +5
Galaxy cluster mergers are a powerful laboratory for testing cosmological and astrophysical models. However, interpreting individual merging clusters depends crucially on their mer…
What's in a name? Quantifying the interplay between the Definition, Orientation, and Shape of Ultra-diffuse Galaxies Using the Romulus Simulations
Jordan D. Van Nest, F. Munshi, A. C. Wright +4
We explore populations of ultra-diffuse galaxies (UDGs) in isolated, satellite, and cluster environments using the Romulus25 and RomulusC simulations, including how the populations…
Thermal Instabilities and Shattering in the High-Redshift WHIM: Convergence Criteria and Implications for Low-Metallicity Strong HI Absorbers
Nir Mandelker, Frank C. van den Bosch, Volker Springel +5
Using a novel suite of cosmological simulations zooming in on a Mpc-scale intergalactic sheet or "pancake" at z~3-5, we conduct an in-depth study of the thermal properties and HI c…
Constraining Cluster Virialization Mechanism and Cosmology using Thermal-SZ-selected clusters from Future CMB Surveys
Srinivasan Raghunathan, Nathan Whitehorn, Marcelo A. Alvarez +7
We forecast the number of galaxy clusters that can be detected via the thermal Sunyaev-Zeldovich (tSZ) signals by future cosmic microwave background (CMB) experiments, primarily th…