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