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Detection of Cosmological 21 cm Emission with the Canadian Hydrogen Intensity Mapping Experiment

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arxiv 2202.01242 v1 pith:VH7Z3BNN submitted 2022-02-02 astro-ph.CO

classification astro-ph.CO
keywords mathrmdetectionintensitymappingmathcalbiasemissionfind
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abstract

We present a detection of 21-cm emission from large-scale structure (LSS) between redshift 0.78 and 1.43 made with the Canadian Hydrogen Intensity Mapping Experiment (CHIME). Radio observations acquired over 102 nights are used to construct maps which are foreground filtered and stacked on the angular and spectral locations of luminous red galaxies (LRG), emission line galaxies (ELG), and quasars (QSO) from the eBOSS clustering catalogs. We find decisive evidence for a detection when stacking on all three tracers of LSS, with the logarithm of the Bayes Factor equal to 18.9 (LRG), 10.8 (ELG), and 56.3 (QSO). An alternative frequentist interpretation, based on the likelihood-ratio test, yields a detection significance of $7.1\sigma$ (LRG), $5.7\sigma$ (ELG), and $11.1\sigma$ (QSO). These are the first 21-cm intensity mapping measurements made with an interferometer. We constrain the effective clustering amplitude of neutral hydrogen (HI), defined as $\mathcal{A}_{\rm HI}\equiv 10^{3}\,\Omega_\mathrm{HI}\left(b_\mathrm{HI}+\langle\,f\mu^{2}\rangle\right)$, where $\Omega_\mathrm{HI}$ is the cosmic abundance of HI, $b_\mathrm{HI}$ is the linear bias of HI, and $\langle\,f\mu^{2}\rangle=0.552$ encodes the effect of redshift-space distortions at linear order. We find $\mathcal{A}_\mathrm{HI}=1.51^{+3.60}_{-0.97}$ for LRGs $(z=0.84)$, $\mathcal{A}_\mathrm{HI}=6.76^{+9.04}_{-3.79}$ for ELGs $(z=0.96)$, and $\mathcal{A}_\mathrm{HI}=1.68^{+1.10}_{-0.67}$ for QSOs $(z=1.20)$, with constraints limited by modeling uncertainties at nonlinear scales. We are also sensitive to bias in the spectroscopic redshifts of each tracer, and find a non-zero bias $\Delta\,v= -66 \pm 20 \mathrm{km/s}$ for the QSOs. We split the QSO catalog into three redshift bins and have a decisive detection in each, with the upper bin at $z=1.30$ producing the highest redshift 21-cm intensity mapping measurement thus far.

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Forward citations

Cited by 6 Pith papers

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

  1. Simulation-Based Priors for HI Bias from Halo Occupation Physics

    astro-ph.CO 2026-07 conditional novelty 6.0 of 10

    A conditional normalizing flow learned from two simulation suites maps HI halo-occupation parameters to EFT bias parameters, producing correlated non-Gaussian priors that are much tighter than flat priors for 21 cm analyses.

  2. Seeing Wiggles without Seeing Wiggles: BAO Recovery in 21 cm Intensity Mapping with Deep Learning

    astro-ph.CO 2026-02 conditional novelty 6.0 of 10

    A 3D U-Net trained only on BAO-free 21 cm simulations recovers BAO wiggles from small-scale modes outside the foreground wedge, indicating physical mode coupling.

  3. Restoration of contaminated data in an Intensity Mapping survey using deep neural networks

    eess.SP 2025-06 conditional novelty 6.0 of 10

    Restoring RFI-contaminated pixels with the LaMa inpainting network reduces post-foreground-removal RMS and improves recovery of the large-scale 21-cm power spectrum in simulations.

  4. Searching for axion dark matter gegenschein of the Vela supernova remnant with FAST

    astro-ph.CO 2025-02 conditional novelty 6.0 of 10

    A 26.4-hour search with FAST finds no axion gegenschein toward Vela, constraining the axion-photon coupling to below about 2e-10 GeV^-1 for axion masses 8.7-9.44 and 10.85-12.01 micro-eV.

  5. Deep learning with hybrid frequency differencing and principal component analysis for 21-cm foreground and beam mitigation

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

    A two-channel UNet combining frequency differencing and PCA preprocessing recovers the 21-cm HI power spectrum at large scales under realistic beam effects, improving cross-correlation by 5-8% over single-channel baselines.

  6. Cosmology with HI Intensity Mapping

    astro-ph.CO 2026-07 accept novelty 4.0 of 10

    SKAO HI intensity mapping forecasts yield competitive LambdaCDM constraints (e.g. H0 to ~0.3 km/s/Mpc optimistic) via power spectrum, BAO, bispectrum and stacking, complementary to CMB and optical surveys.

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