Core-halo scaling relations in self-interacting scalar field dark matter
arXiv:2512.07020 · doi:10.1093/mnras/stag583
Abstract
We study the impact of self-interactions on the structure and evolution of scalar field dark matter (SFDM) halos. Using three-dimensional Gross-Pitaevskii-Poisson simulations of multiple soliton mergers, we explore both repulsive and attractive regimes across a wide range of scattering lengths. Our results show that repulsive self-interactions lead to more massive and extended cores with lower central densities compared to the free (non-interacting) fuzzy dark matter case, while attractive interactions enhance central densities and can drive cores toward collapse, once a critical mass is exceeded. We confirm that the mass-radius relation of solitonic cores is well described by analytical predictions, even in the presence of self-interactions, and we extend the core-halo mass relation to scenarios beyond fuzzy dark matter. We find that the scaling relations between core mass, size, and total energy are not universal but depend sensitively on the strength and sign of the self-interaction, as well as on the evolutionary stage of the halo. These results demonstrate that self-interactions provide a natural mechanism to regulate core properties, with important implications for the formation of supermassive black holes and for potential astrophysical signatures in galactic cores.
13 pages and 13 figures. Comments are welcome
References in corpus (54)
- A Universal Density Profile from Hierarchical Clustering
- Cold and Fuzzy Dark Matter
- Axions In String Theory
- Understanding the Core-Halo Relation of Quantum Wave Dark Matter, DM, from 3D Simulations
- Mass-radius relation of Newtonian self-gravitating Bose-Einstein condensates with short-range interactions: I. Analytical results
- Fluid Dark Matter
- Milky Way Satellite Census. III. Constraints on Dark Matter Properties from Observations of Milky Way Satellite Galaxies
- Galaxy Formation with BECDM: I. Turbulence and relaxation of idealised haloes
- Strong bound on canonical ultra-light axion dark matter from the Lyman-alpha forest
- Simulations of solitonic core mergers in ultra-light axion dark matter cosmologies
- Mass-radius relation of Newtonian self-gravitating Bose-Einstein condensates with short-range interactions: II. Numerical results
- Galactic Halos As Boson Stars
- Evolution of the Schrödinger--Newton system for a self--gravitating scalar field
- Gravitational cooling of self-gravitating Bose-Condensates
- Galactic Rotation Curves vs. Ultra-Light Dark Matter: Implications of the Soliton -- Host Halo Relation
- Angular Momentum and Vortex Formation in Bose-Einstein-Condensed Cold Dark Matter Haloes
- Massive Halos in Millennium Gas Simulations: Multivariate Scaling Relations
- Scalar Field as Dark Matter in the Universe
- On the Schrodinger-Poisson--Vlasov-Poisson correspondence
- Novel constraints on the particle nature of dark matter from stellar streams
- Collapse of a self-gravitating Bose-Einstein condensate with attractive self-interaction
- The Subhalo Mass Function and Ultralight Bosonic Dark Matter
- Galaxy Formation with BECDM -- II. Cosmic Filaments and First Galaxies
- The impact of ultra-light axion self-interactions on the large scale structure of the Universe
- Fuzzy Dark Matter and Dark Matter Halo Cores
- Tidal disruption of fuzzy dark matter subhalo cores
- PyUltraLight: A Pseudo-Spectral Solver for Ultralight Dark Matter Dynamics
- A predictive model of BEC dark matter halos with a solitonic core and an isothermal atmosphere
- Scaling relations of Fuzzy Dark Matter haloes I: individual systems in their cosmological environment
- Derivation of the core mass -- halo mass relation of fermionic and bosonic dark matter halos from an effective thermodynamical model
- Ultra-Light Axion Dark Matter and its impacts on dark halo structure in -body simulation
- Core-halo mass relation of ultralight axion dark matter from merger history
- Cosmological Structure Formation and Soliton Phase Transition in Fuzzy Dark Matter with Axion Self-Interactions
- Core-Halo Mass Relation in Scalar Field Dark Matter Models and its Consequences for the Formation of Supermassive Black Holes
- Short Review of the main achievements of the Scalar Field, Fuzzy, Ultralight, Wave, BEC Dark Matter model
- Core-Envelope Haloes in Scalar Field Dark Matter with Repulsive Self-Interaction: Fluid Dynamics Beyond the de Broglie Wavelength
- The scaling relations of galaxy clusters and their dark matter halos
- Jeans mass-radius relation of self-gravitating Bose-Einstein condensates and typical parameters of the dark matter particle
- Cosmological structure formation in scalar field dark matter with repulsive self-interaction: The Incredible Shrinking Jeans Mass
- Soliton Formation and the Core-Halo Mass Relation: An Eigenstate Perspective
- Modifying PyUltraLight to model scalar dark matter with self-interactions
- Maximum mass of relativistic self-gravitating Bose-Einstein condensates with repulsive or attractive self-interaction
- On the Possibility that Ultra-Light Boson halos host and form Super-massive Black Holes
- Head-on collision of multi-state ultralight BEC dark matter configurations
- Core mass -- halo mass relation of bosonic and fermionic dark matter halos harbouring a supermassive black hole
- Cosmological simulations of self-interacting Bose-Einstein condensate dark matter
- Cosmology and Cluster Halo Scaling Relations
- Solitons and halos for self-interacting scalar dark matter
- Halo formation and evolution in scalar field dark matter and cold dark matter: New insights from the fluid approach
- Single and merger soliton dynamics in scalar field dark matter with and without self-interactions
- Solving the Schrodinger Poisson System using the coordinate Adaptive Moving Mesh method
- Fuzzy dark matter halos with repulsive self-interactions: coherent soliton and halo vortex network with moderate self-coupling
- Scaling relations, dynamical heating and tidal disruption in spin ultralight dark matter models
- Estimating the mass of galactic components using machine learning algorithms