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20172022
most citedMining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning

78 citations · 189 across the 7 of their papers we have counts for

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Showing 2020Show all

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astro-ph.GA2020★ 29 cited

Towards constraining warm dark matter with stellar streams through neural simulation-based inference

Joeri Hermans, Nilanjan Banik, Christoph Weniger +2

A statistical analysis of the observed perturbations in the density of stellar streams can in principle set stringent contraints on the mass function of dark matter subhaloes, whic…