Tutorials
These tutorials demonstrate in more depth than the Quickstart how to
use frank
and interpret the results.
- Generating a UVTable from an MSTable for input to
frank
- What’s fit.py doing? The fitting procedure in detail
- Testing a fit’s sensitivity to the hyperparameters \(\alpha\) and \(w_{\rm smooth}\)
- Testing a fit’s convergence
- Examining the model’s limitations
- Fitting a
frank
model in logarithmic brightness - Taking a Hankel transform, and generating mock data with
frank