A study of the dynamical structures in a Dark Matter Halo using UMAP
Soorya Narayan R., Susmita Adhikari

TL;DR
This paper applies UMAP, a dimension reduction technique, to dark matter halo simulation data, revealing that dynamical structures and accretion history are preserved in lower-dimensional representations, aiding in understanding halo formation.
Contribution
It demonstrates the effectiveness of UMAP in identifying dynamical structures and accretion history within dark matter halos from simulation data, a novel application in astrophysics.
Findings
Distinct clusters in UMAP space relate to accretion history.
Older halo components are phase mixed and dynamically uniform.
Recent accretion and substructures form separate components in UMAP space.
Abstract
We use a dimension reduction algorithm, Uniform Manifold Approximation and Projection (UMAP), to study dynamical structures inside a dark matter halo. We use a zoom-in simulation of a Milky Way mass dark matter halo, and apply UMAP on the 6 dimensional phase space in the dark matter field at z = 0. We find that particles in the field are mapped to distinct clusters in the lower dimensional space in a way that is closely related to their accretion history. The largest cluster in UMAP space does not contain the entire mass of the Milky Way virial region and neatly separates the older halo from the recently accreted matter. Particles within this cluster, which only comprise of the Milky Way particles, have had several pericenter passages and are, therefore, likely to be phase mixed, becoming dynamically uniform. The infall region and recently accreted particle and substructure,…
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Taxonomy
TopicsDark Matter and Cosmic Phenomena · Atomic and Subatomic Physics Research · Optical Polarization and Ellipsometry
