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Towards Robust Constraints on Axion Dark Matter using PSR J1745-2900

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arxiv 2107.01225 v1 pith:UJ2MA3P4 submitted 2021-07-02 astro-ph.CO hep-ph

classification astro-ph.COhep-ph
keywords axiondarkmattermodelcentredensitygalacticuncertainty
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abstract

We apply novel, recently developed plasma ray-tracing techniques to model the propagation of radio photons produced by axion dark matter in neutron star magnetospheres and combine this with both archival and new data for the galactic centre magnetar PSR J1745-2900. The emission direction to the observer and the magnetic orientation are not constrained for this object leading to parametric uncertainty. Our analysis reveals that ray-tracing greatly reduces the signal sensitivity to this uncertainty, contrary to previous calculations where there was no emission at all in some directions. Based on a Goldreich-Julian model for the magnetosphere and a Navarro-Frank-White model for axion density in the galactic centre, we obtain the most robust limits on the axion-photon coupling, to date. These are comparable to those from the CAST solar axion experiment in the mass range $\sim 4.2-60\,\mu{\rm eV}$. If the dark matter density is larger, as might predicted by a "spike" model, the limits could be much stronger. The dark matter density in the region of the galactic centre is now the biggest uncertainty in these calculations.

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Cited by 2 Pith papers

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

  1. Gravitational Wave Scattering on Magnetic Fields

    gr-qc 2025-07 accept novelty 7.0 of 10

    In a 3D treatment of the inverse Gertsenshtein effect, an isotropic unpolarized gravitational wave background scattering off a dipolar magnetic field yields partially linearly polarized radio emission, with peak inten...

  2. Searching for Axion Dark Matter Near Relaxing Magnetars

    hep-ph 2025-05 conditional novelty 6.0 of 10

    Resonant axion-to-photon conversion near magnetars could be observable with ALMA and SKA, but the predicted line strength and frequency depend heavily on which plasma model is correct.

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