ip_diffim is the home of image differencing algorithms within LSST. Read through the current master branch, understand what's there and think about the structure.

Understanding the way ip_diffim is structured will (at a minimum) involve developing some familiarity with the pipe_base and meas_base frameworks. The former defines the structure of “tasks”, which form the basis of LSST pipelines; the latter, the “measurement framework” which provides a system of plugins for measuring source properties given a collection of pixels. A good target for this ticket would be to understand:

• What Task​s exist in the ip_diffim package, and what they do;
• Major Task configuration options;
• What measurement plugins exist in ip_diffim, and what they do.

Detailed understanding of how the algorithms are implemented isn't important for now, as long as you have a good mental map of what's available and the large scale structure of how the package fits together.

The following documentation may be helpful:

• https://pipelines.lsst.io/v/daily/modules/lsst.pipe.base/task-framework-overview.html
• https://pipelines.lsst.io/v/daily/modules/lsst.meas.base/intro.html