Cleaning foregrounds from single-dish 21cm intensity maps with Kernel principal component analysis

@article{Irfan2021CleaningFF,
  title={Cleaning foregrounds from single-dish 21cm intensity maps with Kernel principal component analysis},
  author={Melis O. Irfan and Philip Bull},
  journal={Monthly Notices of the Royal Astronomical Society},
  year={2021}
}
  • Melis O. Irfan, P. Bull
  • Published 5 July 2021
  • Environmental Science
  • Monthly Notices of the Royal Astronomical Society
The high dynamic range between contaminating foreground emission and the fluctuating 21cm brightness temperature field is one of the most problematic characteristics of 21cm intensity mapping data. While these components would ordinarily have distinctive frequency spectra, making it relatively easy to separate them, instrumental effects and calibration errors further complicate matters by modulating and mixing them together. A popular class of foreground cleaning method are unsupervised… 

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References

We acknowledge use of the following software: corner (Foreman-Mackey 2016), HEALPix (Gorski et al. 2005), matplotlib

  • nbodykit (Hand et al. 2018), numpy (van der Walt et al. 2011)
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