Overview of programs¶
AOFlagger provides several programs.
The rfigui program makes it possible to perform a “baseline by baseline” analysis of measurement sets
(and other supported formats). When analyzing data from a telescope for the first time, it is recommended
to first analyze the data with the
rfigui, and use it to test and tweak flagging strategies, or if
necessary to use it to design your own.
The aoflagger program runs strategies in a non-interactive, automated fashion.
It is a command line program that, unlike
rfigui, does not require a graphical terminal. It applies
a flagging strategy to a dataset, and is optimized to run as fast as possible.
aoflagger is therefore typically used to flag datasets “in production”,
once a good flagging strategy has been found with the
After flagging, aoqplot can be used to inspect the results.
If the strategy works well for a number of observations, it might be desirable to integrate the flagging
into an observational pipeline. This could involve calling
aoflagger during the processing, but
sometimes it might be desirable to have a tighter coupling, e.g. to keep data in memory. For this, the
C++ interface or Python interface
can be used. Another reason to use the API is to run a flagging strategy on a
dataset with a format that is not natively supported by
aoflagger, e.g. a numpy array.