Foreground model recognition through Neural Networks for CMB B-mode observations

@article{Farsian2020ForegroundMR,
  title={Foreground model recognition through Neural Networks for CMB B-mode observations},
  author={Farida Farsian and Nicoletta Krachmalnicoff and Carlo Baccigalupi},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.02278}
}
In this work we present a Neural Network (NN) algorithm for the identification of the appropriate parametrization of diffuse polarized Galactic emissions in the context of Cosmic Microwave Background (CMB) $B$-mode multi-frequency observations. In particular, we have focused our analysis on low frequency foregrounds relevant for polarization observation: namely Galactic Synchrotron and Anomalous Microwave Emission (AME). We have implemented and tested our approach on a set of simulated maps… Expand
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