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Coexistence Test of Primordial Black Holes and Particle Dark Matter from Diffractive Lensing

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arxiv 2311.17829 v3 pith:U66TMIR6 submitted 2023-11-29 astro-ph.CO astro-ph.HEgr-qchep-ph

classification astro-ph.COastro-ph.HEgr-qchep-ph
keywords pbhsparticleblackcoexistencedarkdiffractiveholeslensing
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abstract

If dark matter (DM) consists of primordial black holes (PBHs) and particles simultaneously, PBHs are generically embedded within particle DM halos. Such ``dressed PBHs'' (dPBHs) are subject to modified constraints compared to PBHs and can contribute to significant DM abundance in the mass range $10^{-1} - 10^2 M_\odot$. We show that diffractive lensing of chirping gravitational waves (GWs) from binary mergers can not only discover, but can also identify dPBH lenses and discriminate them from bare PBHs on the event-by-event basis, with potential to definitively establish the coexistence of subdominant PBHs and particle DM.

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Forward citations

Cited by 4 Pith papers

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

  1. Primordial black holes as cosmic accelerators of light dark matter: Novel direct detection constraints

    hep-ph 2026-02 unverdicted novelty 7.0 of 10

    Primordial black hole evaporation generates light fermionic dark matter capable of producing electron recoils in XENONnT, LZ, and PandaX-4T, enabling new constraints on DM-electron interactions after including Earth a...

  2. Probing small-scale power spectrum with gravitational-wave diffractive lensing

    hep-ph 2025-01 conditional novelty 7.0 of 10

    Gravitational-wave diffractive lensing, combined statistically across many events, can map the small-scale matter power spectrum through a new frequency-to-scale relation.

  3. Across the Universe: GW231123 as a magnified and diffracted black hole merger

    astro-ph.GA 2025-12 conditional novelty 6.0 of 10

    GW231123's extreme mass and spins may be explained by a point-mass microlens embedded in a galaxy, reducing the inferred source mass to about 100-180 solar masses.

  4. Accelerated inference of microlensed gravitational waves with machine learning

    astro-ph.CO 2025-11 conditional novelty 5.0 of 10

    A neural posterior estimator trained on wave-optics-microlensed gravitational-wave signals recovers source and lens parameters and Bayes factors consistent with Bilby, about 10 times faster.

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