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Paper: Running GTC Data Reduction Pipelines in Jupyter
Volume: 523, Astronomical Data Analysis Software and Systems XXVIII
Page: 187
Authors: Pascual, S.; Cardiel, N.; Cabello, C.; Chamorro-Cazorla, M.; Catalán-Torrecilla, C.; Dullo, B. T.; Castillo-Morales, &.; de Paz, A. G.; Gallego, J.
Abstract: The data reduction pipelines for the Gran Telescopio Canarias instruments EMIR and MEGARA are based on the same Python-based framework: numina. The instrumental pipelines can be run either automatically at the telescope site or using a command line interface. We have added support to run the pipelines inside a Jupyter notebook, with the Python kernel. The new classes in numina provide persistent storage of reductions and querying capabilities, to retrieve previous reductions.
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