A notebook and data associated with the paper "Constraints On The Dynamical Environments Of Supermassive Black-hole Binaries Using Pulsar-timing Arrays", Taylor, S. R., Simon, J., Sampson, L., Physical Review Letters, 118, 181102, arXiv:1612.02817 (2017)
Users can read in GW characteristic strain spectra from black-hole population simulations, re-bin for their own observing baseline, and construct new spectra. The notebook then allows the user to train a Gaussian process to emulate the spectral behavior at all frequencies across the astrophysical parameter space of supermassive black-hole binary environments.
- Standard python installation
- matplotlib, numpy, math, sys, os, glob, cPickle
- Extra packages
- george (can be cloned and installed from https://github.com/dfm/george)
- emcee (can be cloned and installed from https://github.com/dfm/emcee)
- corner (can be cloned and installed from https://github.com/dfm/corner.py)
The notebook can be started from the command line using jupyter notebook gp4ptas.ipynb. Cells are excecuted in serial order using Shift+Enter.