Curated sample of 56 galaxies shows inner DM densities align with NIHAO, FIRE-2 and EDGE simulations across six orders of stellar mass
A curated sample of 56 galaxies reveals no systematic mismatch between observed inner dark-matter densities and ΛCDM hydrodynamical simulations once kinematic uncertainties are controlled. Core formation remains consistent with low-efficiency stellar feedback. The findings substantially reduce the severity of the cusp-core and diversity problems without invoking new dark-matter physics.
The study assembled rotation curves and stellar-mass profiles for galaxies spanning 10^6 to 10^11 solar masses, deriving inner DM density slopes and core radii via Jeans modeling and Markov-chain Monte Carlo fits. Core sizes proved energetically feasible with 0.1–1 % supernova coupling, matching the scatter seen in NIHAO, FIRE-2 and EDGE runs. Extreme outliers previously cited as tension were traced to uncertain inclination or gas-mass assumptions rather than new physics.
Residual mismatches remain at the high-mass end, where some simulated haloes retain steeper central slopes than observed; this points to differences in stellar-halo mass relations rather than dark-matter microphysics. The work therefore reframes the small-scale CDM problems as largely solved by improved observational curation and modest feedback, not requiring warm or self-interacting dark matter.
Future IFU surveys with 30-m-class telescopes will test whether the remaining high-mass discrepancy shrinks when stellar masses are anchored by dynamical modeling instead of photometry alone. If the alignment persists, the result tightens the allowed parameter space for alternative dark-matter models to sub-percent core-formation efficiencies.
Mancera Piña: JWST and ELT rotation-curve samples of 200 galaxies above 10^10 M* will show median inner slope difference <0.2 relative to FIRE-2 by 2029 or the high-mass tension claim is falsified.
Sources (3)
- [1]Primary Source(https://arxiv.org/abs/2609.25220)
- [2]Supporting Source(https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.1036W)
- [3]Supporting Source(https://arxiv.org/abs/2206.01219)