Bibcode
Cardiel, N.; Pascual, S.; Picazo, P.; Gallego, J.; Garzón, F.; Castro-Rodríguez, N.; González-Fernández, C.; Hammersley, P.; Insausti, M.; Manjavacas, E.; Miluzio, M.
Referencia bibliográfica
Highlights on Spanish Astrophysics IX, Proceedings of the XII Scientific Meeting of the Spanish Astronomical Society held on July 18-22, 2016, in Bilbao, Spain, ISBN 978-84-606-8760-3. S. Arribas, A. Alonso-Herrero, F. Figueras, C. Hernández-Monteagudo, A. Sánchez-Lavega, S. Pérez-Hoyos (eds.), 2017 , p. 702-702
Advertised on:
3
2017
Número de citas
0
Número de citas referidas
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Descripción
EMIR, the near-infrared camera-spectrograph operating in the
near-infrared (NIR) wavelengths 0.9-2.5μm, is being commissioned at
the Nasmyth focus of the Gran Telescopio CANARIAS. One of the most
outstanding capabilities of EMIR will be its multi-object spectroscopic
mode which, with the help of a robotic reconfigurable slit system, will
allow to take around 53 spectra simultaneously. A data reduction
pipeline, PyEmir, based on Python, is being developed in order to
facilitate the automatic reduction of EMIR data taken in both imaging
and spectroscopy mode. Focusing on the reduction of spectroscopic data,
some critical manipulations include the geometric distortion correction
and the wavelength calibration. Although usually these reductions steps
are carried out separately, it is important to realise that these kind
of manipulations involve data rebinning and interpolation, which in
addition unavoidably lead to the increase of error correlation and to
resolution degradation. In order to minimise these effects, it is
possible to incorporate those data manipulations as a single geometric
transformation. This approach is being used in the development of
PyEmir. For this purpose, the geometric transformations available in the
Python package Scikit-image are being used. This work was funded by the
Spanish Programa Nacional de Astronomía y Astrofísica
under grant AYA2013-46724-P.