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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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