High Contrast Imaging Tutorials

[kelle]

From Matthew Kenworthy:

I wrote a Masters course on High Contrast Imaging from scratch that dealt with imaging of exoplanets and disks. I had a format of 45 minutes to introduce one data analysis method per week - PSF subtraction, Angular Differential Imaging, Methane absorption imaging, PCA removal, PSF and coronagraphs - and then gave the students a Jupyter notebook with instructions in the first half and step by step questions.

Jupyer notebooks are ideal becasue the students got immediate feedback and saw when the methods worked. I used all real science data from GPI, SPHERE, ZIMPOL, MMT.

Overall the student evaluations were extremely high and the criticism was that there was lots of material to cover but that they all enjoyed it.

Here's the site along with the lecture notes:

http://home.strw.leidenuniv.nl/~kenworthy/teaching_hci_2017

[mkenworthy]

I would be happy to contribute these Notebooks, but I would like some method of withholding the answer Notebooks. One alternative would be to convert these all into Tutorials that have interactive widgets that illustrate the principles they are testing.