pith. sign in

arxiv: 1810.07195 · v2 · pith:JNPBI2DRnew · submitted 2018-10-16 · ✦ hep-ph · astro-ph.CO· hep-ex

Parametric Resonance Production of Ultralight Vector Dark Matter

classification ✦ hep-ph astro-ph.COhep-ex
keywords darkmattervectorhiggsmassabundanceequationsexperimental
0
0 comments X
read the original abstract

Vector bosons heavier than $10^{-22}$ eV can be viable dark matter candidates with distinctive experimental signatures. Ultralight dark matter generally requires a non-thermal origin to achieve the observed density, while still behaving like a pressureless fluid at late times. We show that such a production mechanism naturally occurs for vectors whose mass originates from a dark Higgs. If the dark Higgs has a large field value after inflation, the energy in the Higgs field can be efficiently transferred to vectors through parametric resonance. Computing the resulting abundance and spectra requires careful treatment of the transverse and longitudinal components, whose dynamics are governed by distinct differential equations. We study these equations in detail and find that the mass of the vector may be as low as $10 ^{ - 18 }$ eV, while making up the dominant dark matter abundance. This opens up a wide mass range of vector dark matter as cosmologically viable, further motivating their experimental search.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 8 Pith papers

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

  1. Every Wrinkle Carries A Memory: An Integro-differential Bootstrap for Features in Cosmological Correlators

    hep-th 2025-10 unverdicted novelty 8.0

    Derives integro-differential boundary equations from bulk locality for scale-breaking cosmological correlators with oscillating heavy-field masses and solves them analytically and numerically to reveal enhanced collid...

  2. Wave-envelope dark matter beyond the monochromatic paradigm

    hep-ph 2026-04 unverdicted novelty 7.0

    Mixing of ultralight wave dark matter fields creates a wave-envelope structure with intrinsic slow modulation and frequency sidebands, violating the standard monochromatic assumption.

  3. Post-Inflationary Quenched Production of Axion SU(2) Dark Matter

    hep-ph 2026-04 unverdicted novelty 6.0

    Post-inflationary axion-SU(2) vector dark matter production is recast as a quantum quench with a survival factor that induces an O(1) renormalization of the standard relic abundance.

  4. Early Growth of Structure in Warm Wave Dark Matter

    astro-ph.CO 2025-06 conditional novelty 6.0

    Derives suppression of adiabatic perturbations and scale-dependent growth of isocurvature power in warm wave dark matter, verifies with Schrödinger-Poisson simulations, and proposes an analytic halo mass function.

  5. Highly Excited Electron Cyclotron for QCD Axion and Dark-Photon Detection

    hep-ph 2024-10 unverdicted novelty 6.0

    Proposes resonant detection of QCD axions (0.1-2.3 meV) and dark photons (down to epsilon ~2e-16) via highly excited electron cyclotron states in an open-endcap Penning trap compatible with large cavities.

  6. Dilaton-Induced Resonant Production of Ultralight Vector Dark Matter

    hep-ph 2026-04 unverdicted novelty 5.0

    Resonant dilatonic coupling produces ultralight vector dark matter with relic mass scaling as m_γ' ∝ r_i^{-2} for subdominant spectators in radiation-dominated backgrounds.

  7. Dark Matter Freeze-in from a $Z^\prime$ Reheaton

    hep-ph 2025-11 unverdicted novelty 5.0

    Dark matter freezes in from non-thermal Z' decays before reheating ends in an inflationary model with a secluded U(1)_D gauge sector, Z' reheaton, and lattice treatment of non-perturbative effects, opening viable para...

  8. Cosmic Strings as Dynamical Dark Energy: Novel Constraints

    astro-ph.CO 2025-05 conditional novelty 4.0

    Cosmic string networks are constrained to less than ~1% of the energy density using CMB+BAO+SN data, with some models preferring mildly negative densities but no Bayesian evidence favoring them over LambdaCDM.