64 citations · 234 across the 20 of their papers we have counts for
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astro-ph.CO2023★ 16 cited
Explaining dark matter halo density profiles with neural networks
Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen
We use explainable neural networks to connect the evolutionary history of dark matter halos with their density profiles. The network captures independent factors of variation in th…
astro-ph.CO2023★ 15 cited
Halo assembly bias from a deep learning model of halo formation
Luisa Lucie-Smith, Alexandre Barreira, Fabian Schmidt
We build a deep learning framework that connects the local formation process of dark matter halos to the halo bias. We train a convolutional neural network (CNN) to predict the fin…