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Ultra-diffuse galaxies without dark matter

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arxiv 1905.13235 v1 pith:Y3QPPF7P submitted 2019-05-30 astro-ph.GA astro-ph.COhep-ph

Ultra-diffuse galaxies without dark matter

Joseph Silk This is my paper
classification astro-ph.GA astro-ph.COhep-ph
keywords darkgalaxieshighmatterultra-diffusealphaapparentbrightness
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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I develop a high velocity galaxy collision model to explain a rare but puzzling phenomenon, namely the apparent existence of ultra-diffuse galaxies with little dark matter. Predictions include simultaneous triggering of overpressured dense clouds to form luminous old globular clusters, a protogroup environment to generate high relative velocities of the initially gas-rich galaxies in the early universe, and spatially separated dark halos, possibly detectable via gravitational lensing and containing relic low metallicity stars with enhanced [alpha/Fe] at ultralow surface brightness.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Tidal origin of dark-matter free dwarf galaxies in the NGC 1052 group

    astro-ph.GA 2026-06 unverdicted novelty 5.0

    Simulations of a tuned 1:1 head-on merger reproducing NGC 1052's E4 shape generate tidal dwarf galaxies with sizes matching the observed DM-free dwarfs.

  2. Advancing the detection of low surface brightness galaxies. I. ATTILA: multi-tAsking deTecTIon tool for Lsb gAlaxies

    astro-ph.GA 2026-05 unverdicted novelty 5.0

    ATTILA tool identifies 24 new ultra-diffuse galaxies in Hydra I, doubling the known population to 48, plus 92 additional low surface brightness galaxies, while recovering over 80% of previously known ones.

  3. Tidal origin of dark-matter free dwarf galaxies in the NGC 1052 group

    astro-ph.GA 2026-06 unverdicted novelty 4.0

    Simulations of a tuned 1:1 merger of NGC 1052 produce long-lived tidal tails and dwarf galaxies matching observed sizes of DM-free dwarfs, unlike the dwarf bullet model.