Web: http://arxiv.org/abs/2205.04474

May 11, 2022, 1:11 a.m. | Luisa Lucie-Smith, Susmita Adhikari, Risa H. Wechsler

cs.LG updates on arXiv.org arxiv.org

The mass distribution of dark matter haloes is the result of the hierarchical
growth of initial density perturbations through mass accretion and mergers. We
use an interpretable machine-learning framework to provide physical insights
into the origin of the spherically-averaged mass profile of dark matter haloes.
We train a gradient-boosted-trees algorithm to predict the final mass profiles
of cluster-sized haloes, and measure the importance of the different inputs
provided to the algorithm. We find two primary scales in the initial conditions …

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