activity
20242026
collaborators

6 papers

astro-ph.GA2026

JWST Reveals a Candidate Jellyfish Galaxy at z=1.156

Ian D. Roberts, Michael L. Balogh, Visal Sok +3

We report the discovery of COSMOS2020-635829 as a candidate jellyfish galaxy undergoing ram pressure stripping in a (proto)cluster at . High-resolution imaging from the Jame…

astro-ph.CO2025

The Velocity Field Olympics: Assessing velocity field reconstructions with direct distance tracers

Richard Stiskalek, Harry Desmond, Julien Devriendt +5

The peculiar velocity field of the local Universe provides direct insights into its matter distribution and the underlying theory of gravity, and is essential in cosmological analy…

astro-ph.CO2025

Constraining cosmological parameters using density split lensing and the conditional stellar mass function

Pierre A. Burger, Darshak A. Patel, Michael J. Hudson

In this work, we develop a simulation-based model to predict the excess surface mass density (ESD) depending on the local density environment. Using a conditional stellar mass func…

astro-ph.GA2025

Truncated star formation and ram pressure stripping in the Coma Cluster

Ariel O. Broderick, Ian D. Roberts, Michael J. Hudson

We use 45 galaxies from the Mapping Nearby Galaxies at Apache Point Observatory survey to study the physical drivers of star formation quenching in the Coma cluster. We measure spe…

astro-ph.CO2025

Uncertainties in the Hubble Constant from Peculiar Velocities

Amber M. Hollinger, Michael J. Hudson

Recent measurements of the Hubble constant using type Ia supernovae explicitly correct for their estimated peculiar velocities using the 2M++ reconstruction of the local density fi…

astro-ph.CO2024

Cosmological parameters from the joint analysis of Density Split and Second Order Statistics: an Emulator based on the Halo Occupation Distribution

Pierre A. Burger, Enrique Paillas, Michael J. Hudson

In this work, we develop a simulation-based model to predict the density split (DSS) and second-order shear and clustering statistics. A simulation-based model has the potential to…