Deep learning insights into cosmological structure formation

arXiv:2011.10577v3 Announce Type: replace-cross
Abstract: The evolution of linear initial conditions present in the early universe into extended halos of dark matter at late times can be computed using cosmological simulations. However, a theoretical understanding of this complex process remains elusive; in particular, the role of anisotropic information in the initial conditions in establishing the final mass of dark matter halos remains a long-standing puzzle. Here, we build a deep learning framework to investigate this question. We train a three-dimensional …

abstract arxiv astro-ph.co astro-ph.im cs.ai cs.lg dark matter deep learning evolution information insights linear matter process role simulations type understanding universe