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Twenty-one centimeter tomography with foregrounds

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arxiv astro-ph/0501081 v2 submitted 2005-01-06 astro-ph

classification astro-ph
keywords foregroundslimitedtomographycentimetercontaminationgalacticscalessignal
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abstract

Twenty-one centimeter tomography is emerging as a powerful tool to explore the end of the cosmic dark ages and the reionization epoch, but it will only be as good as our ability to accurately model and remove astrophysical foreground contamination. Previous treatments of this problem have focused on the angular structure of the signal and foregrounds and what can be achieved with limited spectral resolution (bandwidths in the 1 MHz range). In this paper we introduce and evaluate a ``blind'' method to extract the multifrequency 21cm signal by taking advantage of the smooth frequency structure of the Galactic and extragalactic foregrounds. We find that 21 cm tomography is typically limited by foregrounds on scales $k\ll 1h/$Mpc and limited by noise on scales $k\gg 1h/$Mpc, provided that the experimental bandwidth can be made substantially smaller than 0.1 MHz. Our results show that this approach is quite promising even for scenarios with rather extreme contamination from point sources and diffuse Galactic emission, which bodes well for upcoming experiments such as LOFAR, MWA, PAST, and SKA.

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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. Foreground Subtraction with a Tensor-Based Oriented Singular Value Decomposition Method for HI Experiments

    astro-ph.IM 2026-08 conditional novelty 5.0 of 10

    A tensor-oriented singular value decomposition can subtract radio foregrounds from 21 cm intensity mapping data while preserving more cosmological signal than standard PCA.

  2. Reading Between the Lines: Forward Modeling Dust, Continuum, and Spectral Cleaning for Multi-Line Intensity Mapping

    astro-ph.GA 2026-07 conditional novelty 5.0 of 10

    Using a SAM-based mock, multi-line intensity-mapping cross-power spectra show dust acts as a line-pair- and redshift-dependent suppression, and PCA cleaning with about 20 modes best balances line recovery against cont...

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