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Ultra-Faint Dwarfs Defy Simple Scaling Laws, Tightening Constraints on Dark Matter and Early Galaxy Formation

Ultra-Faint Dwarfs Defy Simple Scaling Laws, Tightening Constraints on Dark Matter and Early Galaxy Formation

Preprint delivers largest photometric metallicity maps of 12 faint satellites, exposing breakdown of luminosity-metallicity relation in ultra-faints and absence of gradients, with implications for dark-matter substructure and reionization.

The Pristine Dwarf Galaxy Survey's latest preprint maps metallicity distributions across 12 faint Milky Way satellites using narrow-band CaHK photometry combined with broad-band g,r data from Muñoz et al. (2018) and Pan-STARRS1. Covering out to 5-8 half-light radii and reaching g23, the approach yields 3917 probable members—more than doubling spectroscopic samples—via spatial, photometric, astrometric, and refined metallicity-based membership probabilities. This preprint (not yet peer-reviewed) reveals a clear break from the linear luminosity-metallicity relation below M_V-6, with ultra-faints scattering around [Fe/H]~-2.3, plus 170 extremely metal-poor candidates. Unlike more massive dwarfs, no radial metallicity gradients appear within 2.5 R_h, consistent with inefficient star formation in the smallest halos. The missing-satellites tension (Bullock & Boylan-Kolchin 2017) is sharpened: these systems probe the lowest-mass dark-matter subhalos where reionization and supernova feedback suppress star formation, yet the flat metallicity floor challenges models assuming continuous enrichment. Earlier spectroscopic work (Simon 2019) was limited by small-N statistics and bright-star bias; this photometric strategy exposes contaminants and extends reach but trades precision for volume. Future spectroscopic follow-up remains essential to confirm the 170 EMP candidates and test whether the observed scatter signals stochastic IMF sampling or variable feedback efficiency.

⚡ Prediction

HELIX: Photometric metallicity mapping will become standard for faint satellites, forcing simulators to incorporate stochastic enrichment and sharper reionization thresholds to match the observed [Fe/H] scatter.

Sources (3)

  • [1]
    Primary Source(https://arxiv.org/abs/2606.06610)
  • [2]
    Related Source(https://arxiv.org/abs/1705.02308)
  • [3]
    Related Source(https://ui.adsabs.harvard.edu/abs/2019ARA%26A..57..375S)