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Distance of PSR B0458+46 indicated by FAST HI absorption observations

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arxiv 2306.01246 v2 pith:DNI3BZXS submitted 2023-06-02 astro-ph.HE astro-ph.GAastro-ph.IM

classification astro-ph.HEastro-ph.GAastro-ph.IM
keywords distanceabsorptionb0458perseusassociatedbeyondclouddetect
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abstract

The pulsar B0458+46 was previously believed to have a distance of about 1.3$~$kpc and to be associated with a nearby supernova remnant, SNR HB9 (G160.9+2.6). We observe the neutral hydrogen (HI) absorption spectrum of PSR B0458+46 by using the Five-hundred-meter Aperture Spherical radio Telescope (FAST), and detect two absorption lines at radial velocities of $V_{\rm LSR} = {-7.7}~{\rm km~s}^{-1}$ and $-28.1~{\rm km~s^{-1}}$. Based on the Galactic rotation curve with a modification factor correcting for the systematic stream in the anticenter region, we derive the kinematic distance of the farther absorption cloud, which is found to be located $2.7^{+0.9}_{-0.8}$ kpc away, just beyond the Perseus Arm. We also obtain a direct distance estimation of the absorption clouds, being $2.3_{-0.7}^{+1.1}$ kpc, based on a comparison of their velocity with the HI emission in the Perseus and Outer Arms that was well-defined by recently measured parallax tracers. As a result, we conclude that PSR B0458+46 should be located beyond the Perseus Arm, with a lower limit distance of 2.7 kpc, and therefore not associated with SNR HB9. The doubled distance indicates a deficiency of thermal electrons in the immediate outer Galaxy, with much less density than current models predict. Additionally, we detect a new high-velocity HI cloud in the direction of this pulsar.

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

  1. Exploring the Galactic plasma with pulsars in the SKA Era

    astro-ph.HE 2026-07 accept novelty 2.5 of 10

    Pulsars map Galactic, solar-wind, and ionospheric plasma via DM, RM, scintillation, and scattering; SKA-Low/Mid AA4 will push DM precision to ~10^{-8} pc cm^{-3} and transform IISM models.

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