3 citations · 4 across the 4 of their papers we have counts for
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astro-ph.CO2025
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…
astro-ph.CO2025★ 3 cited
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…
astro-ph.CO2025
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…