I am pleased to inform you this summer I am going to work on to create a library for SunPy which enables to create interpretable maps in cases of when the base lines for synthesis images are not following a regular pattern. This library's focus will be to compensate the effect of such cases.
You can find more details about the topic in this article.
Also the upper link contains the reference for the first algorithm (CLEAN) what I am going to implement. My current status is that playing around with little aspects of this task and I try to come up with a good concept how to actually do it. So I spend most of my time reading about it. And thinking about how to do it in a good way. :)
My little bit "more technical" proposal for this summer can be found here at github.
And at the end, I would like to thank for the SunPy community and ESA that I can participate in this program this summer. I hope my work is going to reach the expectations :)
So keep tuned, my next post will contain more actual details! :D