Despite Python being the preferred programming language of choice for most astronomers, building or extending data reduction pipelines in the language can be problematic. A common approach is to write Python functions or classes as wrappers, calling individual pipeline recipes underneath, but this does not scale well with increasing pipeline complexity. Data management is also fraught since housekeeping code must be written to carefully handle input and output products between recipes. We have addressed these issues by creating an extensible pipeline development framework that leverages the Python bindings for the ESO Common Pipeline Library (PyCPL) toolkit. Pipeline recipes can be defined in a regulated manner using existing ESO pipeline recipes or new Python recipes compliant with ESO standards. Users can easily build their own pipeline workflows for execution by the PyCPL companion package PyEsorex. The ability to define Python recipes offers a powerful means to extend existing ESO pipelines or develop entirely new pipelines. An overview of the framework is presented along with an illustrative MUSE pipeline workflow.
The Huntsman Telescope* is a wide field imager based on the successful Dragonfly Telescope concept.1 It consists of an array of co-aligned telephoto DSLR lenses with cooled CCD cameras. The ten 140 mm apertures have a combined collecting area equivalent to a 0.5 m class telescope but have lower stray light levels than a typical telescope of this size.1, 2 Its primary purpose is low surface brightness imaging of nearby galaxies, and it also observes exoplanet transits and other optical transients.
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