11 citations · 28 across the 10 of their papers we have counts for
4 papers · 1 filter
Cluster Mass Inference from Galaxy Kinematics
Bonny Y. Wang, Leander Thiele, Matthew Ho
The masses of galaxy clusters carry cosmological and astrophysical information. We develop a simulation-based inference pipeline to infer cluster masses from full projected phase-s…
On the sensitivity of different galaxy properties to warm dark matter
Belén Costanza, Bonny Y. Wang, Francisco Villaescusa-Navarro +7
We study the impact of warm dark matter (WDM) particle mass on galaxy properties using 1,024 state-of-the-art cosmological hydrodynamical simulations from the DREAMS project. We be…
Cosmology from one galaxy in a void?
Bonny Y. Wang, Alice Pisani
Understanding galaxy properties may be the key to unlocking some of the most intriguing mysteries of modern cosmology. Recent work relied on machine learning to extract cosmologica…
Machine-learning cosmology from void properties
Bonny Y. Wang, Alice Pisani, Francisco Villaescusa-Navarro +1
Cosmic voids are the largest and most underdense structures in the Universe. Their properties have been shown to encode precious information about the laws and constituents of the…