An unbiased estimator of the full-sky CMB angular power spectrum at large scales using neural networks

@article{Chanda2021AnUE,
  title={An unbiased estimator of the full-sky CMB angular power spectrum at large scales using neural networks},
  author={Pallav Chanda and Rajib Saha},
  journal={Monthly Notices of the Royal Astronomical Society},
  year={2021}
}
  • Pallav Chanda, R. Saha
  • Published 8 February 2021
  • Physics, Computer Science
  • Monthly Notices of the Royal Astronomical Society
Accurate estimation of the Cosmic Microwave Background (CMB) angular power spectrum is enticing due to the prospect for precision cosmology it presents. Galactic foreground emissions, however, contaminate the CMB signal and need to be subtracted reliably in order to lessen systematic errors on the CMB temperature estimates. Typically bright foregrounds in a region lead to further uncertainty in temperature estimates in the area even after some foreground removal technique is performed and… Expand

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