I am pleased to inform you this summer I am going to work on as part of SOCIS 2017 to create a synthesis imaging library for SunPy. It will make it possible to create interpretable maps in cases when the base lines are not following a regular pattern. This will be the main focus of the library. You can find more details about the topic in this article . The upper link contains the reference for the first algorithm (CLEAN) what I am going to implement. Currently I am playing around with the little aspects of this task and I try to come up with a good concept how to actually implement it. I spend most of my time reading about the background. 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! :D