# Nifty tutorial for radio interferometric imaging
This repository provides a hands on tutorial to perform radio imaging using information field theory. Two Jupyter notebooks are available:
This repository provides a hands on tutorial to perform radio imaging using information field theory.
The demo scripts `nifty_interfaces.py` and `nifty_intro.py` give and introduction
into the world of nifty and how to do inference with it.
In addition, two Jupyter notebooks are available:
-`demo_CorrelatedFields.ipynb`: An introduction to the correlated field model, its hyperparameters, and their effect in the statistical properties of the gaussian process.
