English

Self-Interacting Superfluid Dark Matter Droplets

Cosmology and Nongalactic Astrophysics 2022-12-19 v2 Astrophysics of Galaxies General Relativity and Quantum Cosmology High Energy Physics - Phenomenology

Abstract

We assume dark matter to be a cosmological self-gravitating Bose-Einstein condensate of non-relativistic ultralight scalar particles with competing gravitational and repulsive contact interactions and investigate the observational implications of such model. The system is unstable to the formation of stationary self-bound structures that minimize the energy functional. These cosmological superfluid droplets, which are the smallest possible gravitationally bound dark matter structures, exhibit a universal mass profile and a corresponding universal rotation curve. Assuming a hierarchical structure formation scenario where granular dark matter haloes grow around these primordial stationary droplets, the model predicts cored haloes with rotation curves that obey a single universal equation in the inner region (r1r \lesssim 1 kpc). A simultaneous fit to a selection of galaxies from the SPARC database chosen with the sole criterion of being strongly dark matter dominated even within the innermost region, indicates that the observational data are consistent with the presence of a Bose-Einstein condensate of ultralight scalar particles of mass m2.2×1022m \simeq 2.2 \times 10^{-22} eV c2^{-2} and repulsive self-interactions characterized by a scattering length as7.8×1077a_s \simeq 7.8 \times 10^{-77} m. Such small self-interactions have profound consequences on cosmological scales. They induce a natural minimum scale length for the size of dark matter structures that makes all cores similar in length (1\sim 1 kpc) and contributes to lower their central densities.

Keywords

Cite

@article{arxiv.2201.12418,
  title  = {Self-Interacting Superfluid Dark Matter Droplets},
  author = {V. Delgado and A. Muñoz Mateo},
  journal= {arXiv preprint arXiv:2201.12418},
  year   = {2022}
}

Comments

10 pages, 6 figures. Extended version accepted for publication in MNRAS

R2 v1 2026-06-24T09:08:11.425Z