Python implementation of the Carter & Winn (2009) formalism for fitting 1/f noise to an indexed time-series with Python (using PyMC).
Author: Néstor Espinoza (nespino@astro.puc.cl)
If you use this code for your research, please cite the work of Carter & Winn (2009, http://adsabs.harvard.edu/cgi-bin/bib_query?arXiv:0909.0747) and acknowledge the hardwork put into this implementation by the author.
For a tutorial on using this code, please go to:
The codes used in the tutorial are under the "examples" folder; just run the "runMCMC.py" code to run the MCMC!
To use this code you will need PyMC. To install it, go to:
http://pymc-devs.github.io/pymc/
Run the install.py file by doing
python install.py
And you are done!