Cosmic string detection with tree-based machine learning

@article{Sadr2018CosmicSD,
  title={Cosmic string detection with tree-based machine learning},
  author={A. V. Sadr and M. Farhang and S. M. M. Movahed and B. Bassett and M. Kunz},
  journal={Monthly Notices of the Royal Astronomical Society},
  year={2018},
  volume={478},
  pages={1132-1140}
}
  • A. V. Sadr, M. Farhang, +2 authors M. Kunz
  • Published 2018
  • Physics, Mathematics
  • Monthly Notices of the Royal Astronomical Society
  • We explore the use of random forest and gradient boosting, two powerful tree-based machine learning algorithms, for the detection of cosmic strings in maps of the cosmic microwave background (CMB), through their unique Gott-Kaiser-Stebbins effect on the temperature anisotropies.The information in the maps is compressed into feature vectors before being passed to the learning units. The feature vectors contain various statistical measures of processed CMB maps that boost the cosmic string… CONTINUE READING
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