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Foreground Removal using FastICA: A Showcase of LOFAR-EoR

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arxiv 1201.2190 v2 pith:GS6XHXDX submitted 2012-01-10 astro-ph.CO

Foreground Removal using FastICA: A Showcase of LOFAR-EoR

Emma Chapman , Filipe B. Abdalla , Geraint Harker , Vibor Jeli\'c , Panagiotis Labropoulos , Saleem Zaroubi , Michiel A. Brentjens , A. G. de Bruyn
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L. V. E. Koopmans
This is my paper
classification astro-ph.CO
keywords findforegroundfasticaforegroundsrecoveredscalessuccessfullyabove
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We introduce a new implementation of the FastICA algorithm on simulated LOFAR EoR data with the aim of accurately removing the foregrounds and extracting the 21-cm reionization signal. We find that the method successfully removes the foregrounds with an average fitting error of 0.5 per cent and that the 2D and 3D power spectra are recovered across the frequency range. We find that for scales above several PSF scales the 21-cm variance is successfully recovered though there is evidence of noise leakage into the reconstructed foreground components. We find that this blind independent component analysis technique provides encouraging results without the danger of prior foreground assumptions.

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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. 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

    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.

  2. Mitigating gain calibration errors from EoR observations with SKA1-Low AA*

    astro-ph.CO 2025-10 unverdicted novelty 4.0

    Simulations show hybrid foreground mitigation (GPR + PCA combined with avoidance) recovers the HI 21cm signal within 2σ for gain calibration errors ≤1% in SKA1-Low AA* observations over 0.05-0.5 Mpc^{-1} scales.