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Ruling out Initially Clustered Primordial Black Holes as Dark Matter

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arxiv 2208.01683 v2 pith:7CM3YKL3 submitted 2022-08-02 astro-ph.CO gr-qchep-phhep-th

classification astro-ph.COgr-qchep-phhep-th
keywords blackholesprimordialclusteringconstraintsdarklargematter
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Combining constraints from microlensing and Lyman-$\alpha$ forest, we provide a simple argument to show that large spatial clustering of stellar-mass primordial black holes at the time of formation, such as the one induced by the presence of large non-Gaussianities, is ruled out. Therefore, it is not possible to evade existing constraints preventing stellar-mass primordial black holes to be a dominant constituent of the dark matter by boosting their initial clustering.

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Cited by 4 Pith papers

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

  1. Constraints on primordial black holes from the first part of LIGO-Virgo-KAGRA fourth observing run

    astro-ph.CO 2026-05 unverdicted novelty 6.0 of 10

    O4a gravitational-wave data give 95% CL upper limits f_PBH ~ 1e-2 to 1e-4 for monochromatic primordial black holes with mean masses 0.6-100 M_sun, with no evidence of a PBH merger component.

  2. Constraints on Primordial Black Hole Dressed by Dark Matter Halo from Microlensing Effect of Fast Radio Bursts

    astro-ph.CO 2026-07 conditional novelty 5.0 of 10

    A new conversion formula turns monochromatic bare-PBH microlensing bounds into extended-mass dressed-PBH bounds, and a 10^5-FRB forecast places f_PBH near 10^-4.

  3. Little Red Dots from Small-Scale Primordial Black Hole Clustering

    astro-ph.CO 2025-07 conditional novelty 5.0 of 10

    Densely clustered 30-solar-mass primordial black holes can sequentially merge into ~10^6 solar-mass seeds by redshift 6, possibly explaining JWST little red dots, with high spin from tidal torques and a two-peak gravi...

  4. January Food Benchmark (JFB): A Public Benchmark Dataset and Evaluation Suite for Multimodal Food Analysis

    cs.CV 2025-08 reject novelty 4.0 of 10

    The abstract promises a food-image benchmark and a winning model, but the manuscript pages contain only a different paper on primordial black holes, leaving every benchmark claim unsubstantiated.

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