3 citations · 3 across the 6 of their papers we have counts for
6 papers · 1 filter
Non-spherical BUFFALOs: a weak lensing view of the Frontier Field clusters and associated systematics
A. Niemiec, A. Acebron, B. Beauchesne +15
Galaxy clusters are tracers of the large scale structures of the Universe, making the time evolution of their mass function dependent on key cosmological parameters, such as the co…
Measuring the Dark Matter Self-Interaction Cross-Section with Deep Compact Clustering for Robust Machine Learning Inference
Ethan Tregidga, David Harvey, Luca Biggio +1
We have developed a machine learning algorithm capable of detecting ``out-of-domain data'' for trustworthy cosmological inference. By using data from two separate suites of cosmolo…
DARKSKIES: A suite of super-sampled zoom-in simulations of galaxy clusters with self-interacting dark matter
David Harvey, Yves Revaz, Matthieu Schaller +3
We present the "DARKSKIES" suite of one hundred, zoom-in hydrodynamic simulations of massive ( galaxy clusters with self-interacting dark matt…
Impact of line-of-sight structure on weak lensing observables of galaxy clusters
Felix Vecchi, David Harvey, James Nightingale +3
Weak gravitational lensing observations of galaxy clusters are sensitive to all mass along the line-of-sight, introducing systematic and additional statistical uncertainties due to…
PSZ2 G282.28+49.94, a recently discovered analogue of the famous Bullet Cluster
I. Bartalucci, M. Rossetti, W. Boschin +17
We present a detailed study of the gas and galaxy properties of the cluster PSZ2 G282.28+49.94 detected in the Planck all-sky survey. The intracluster medium (ICM) of this object a…
A deep-learning algorithm to disentangle self-interacting dark matter and AGN feedback models
David Harvey
Different models of dark matter can alter the distribution of mass in galaxy clusters in a variety of ways. However, so can uncertain astrophysical feedback mechanisms. Here we pre…