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Supervised Machine Learning for X-ray Data Classification of Black Hole X-ray Binaries

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Machine Learning Classification of Black Hole X-ray Light Curves

This project aims to provide a full classification of the X-ray light curves of black hole X-ray binaries, here specifically the source GRS 1915+105, using supervised machine learning.

The repository is laid out as follows:

  • code: python scripts and helper functions used in the analysis
  • data: some useful data files, with additional data to be uploaded soon!
  • notebooks: Jupyter notebooks detailing the analysis and allowing for reproducting of the figures in the paper
  • paper: all files related to the manuscript submitted to MNRAS

Requirements

The code requires

  • Python 2.7
  • numpy
  • scipy
  • pandas
  • matplotlib
  • seaborn
  • scikit-learn 0.17
  • BayesPSD

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Supervised Machine Learning for X-ray Data Classification of Black Hole X-ray Binaries

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