Chimenea implements a simple but effective algorithm for automated imaging of multi-epoch radio-synthesis data, developed as part of the ALARRM programme. The key logic-flow is implemented in the pipeline.py module. For a full description, see the accompanying paper, Staley and Anderson (2015).
While chimenea has only been tested with data from AMI-LA to date, the algorithm is implemented in a telescope-agnostic fashion and could trivially be adapted to other telescopes. You may want to take a look at the amisurvey package to see how it has been integrated into our project-specific data-flow.
Casa, chimenea, estrellas.(Image credit: [Jonas Wagner](https://www.flickr.com/photos/80225884@N06/), CC BY-NC-SA 2.0)