Cosmic String Detection with Tree-Based Machine Learning

no code implementations • 12 Jan 2018 • A. Vafaei Sadr, M. Farhang, S. M. S. Movahed, B. Bassett, M. Kunz

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.

BIG-bench Machine Learning