Prev: P4.12 Next: P4.14

P4.13: Pascual, Sergio
Sergio Pascual (Universidad Complutense de Madrid)
Nicolas Cardiel (Universidad Complutense de Madrid)






Theme: Data Science: Workflows Hardware Software Humanware
Title: Runing GTC data reduction pipelines in Jupyter

The data reduction pipelines for the GTC (Gran Telescopio Canarias) instruments EMIR and MEGARA are based on the same framework (numina, https://zenodo.org/record/1341361). The pipeline can be run either automatically at the telescope or using a command line interface. We have added support to run the pipeline inside a Jupyter notebook, with the python interpreter. The new classes in numina provide persistent storage of reductions and querying capabilities, to retrieve older reductions

Link to PDF (may not be available yet): P4-13.pdf