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20232026
most citedDark from light (DfL): Inferring halo properties from luminous tracers with machine learning trained on cosmological simulations. I. Method, proof of concept & preliminary testing

3 citations · 5 across the 5 of their papers we have counts for

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Showing 2025Show all

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astro-ph.GA2025

Environmental vs. intrinsic quenching at cosmic noon: Predictions from cosmological hydrodynamical simulations for VLT-MOONRISE

Paul H. Goubert, Asa F. L. Bluck, Joanna M. Piotrowska +5

We present an investigation into the quenching of simulated galaxies across cosmic time, honing in on the role played by both intrinsic and environmental mechanisms at different ep…

astro-ph.CO2025★ 3 cited

Dark from light (DfL): Inferring halo properties from luminous tracers with machine learning trained on cosmological simulations. I. Method, proof of concept & preliminary testing

Asa F. L. Bluck, Joanna M. Piotrowska, Paul Goubert +4

We present Dark from Light (DfL) - a novel method to infer the dark sector in wide-field galaxy surveys, leveraging a machine learning approach trained on contemporary cosmological…