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Extracting HI cosmological signal with Generalized Needlet Internal Linear Combination

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arxiv 1509.00742 v2 pith:PB6ERI7J submitted 2015-09-02 astro-ph.CO

Extracting HI cosmological signal with Generalized Needlet Internal Linear Combination

classification astro-ph.CO
keywords radiosignalemissionforegroundsgalacticmethodcombinationcosmological
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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HI intensity mapping is a new observational technique to map fluctuations in the large-scale structure of matter using the 21 cm emission line of atomic hydrogen (HI). Sensitive radio surveys have the potential to detect Baryon Acoustic Oscillations (BAO) at low redshifts (z < 1) in order to constrain the properties of dark energy. Observations of the HI signal will be contaminated by instrumental noise and, more significantly, by astrophysical foregrounds, such as Galactic synchrotron emission, which is at least four orders of magnitude brighter than the HI signal. Foreground cleaning is recognised as one of the key challenges for future radio astronomy surveys. We study the ability of the Generalized Needlet Internal Linear Combination (GNILC) method to subtract radio foregrounds and to recover the cosmological HI signal for a general HI intensity mapping experiment. The GNILC method is a new technique that uses both frequency and spatial information to separate the components of the observed data. Our results show that the method is robust to the complexity of the foregrounds. For simulated radio observations including HI emission, Galactic synchrotron, Galactic free-free, radio sources and 0.05 mK thermal noise, we find that we can reconstruct the HI power spectrum for multipoles 30 < l < 150 with 6% accuracy on 50% of the sky for a redshift z ~ 0.25.

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Cited by 2 Pith papers

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

  1. meer21cm: an Analysis Pipeline and Comprehensive Toolkit for HI Intensity Mapping

    astro-ph.CO 2026-07 accept novelty 5.0

    meer21cm is a publicly available Python toolkit for post-calibration analysis of single-dish HI intensity mapping surveys, achieving percent-level accuracy on simulated MeerKAT data in the k range 0.02-0.2 h/Mpc.

  2. Methodological Frontiers in 21-cm Intensity Mapping: the Treatment of Systematics and Foreground Contamination

    astro-ph.CO 2026-06 unverdicted novelty 2.0

    A review chapter summarizing advances in map-making and component-separation techniques for 21-cm intensity mapping to address systematics and foreground contamination in simulations for SKA-Mid.