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A New Approach in Data Reduction: Proper Handling of Random Errors and Image Distortions

Bibcode
2003RMxAC..16...73C
Cardiel, N.; Gorgas, J.; Gallego, J.; Serrano, A.; Zamorano, J.; García-Vargas, M. L.; Gómez-Cambronero, P.; Filgueira, J. M.
Bibliographical reference

Science with the GTC (Eds. José Miguel Rodríguez Espinosa, Francisco Garzón López, and Verónica Melo Martín) Revista Mexicana de Astronomía y Astrofísica (Serie de Conferencias) Vol. 16, pp. 73-76 (2003) (http://www.astroscu.unam.mx/~rmaa/)

Advertised on:
0
2003
Number of authors
8
IAC number of authors
0
Citations
3
Refereed citations
1
Description
Data reduction procedures aim to minimize the impact of data acquisition imperfections on the measurement of data properties with a scientific meaning for the astronomer. To achieve this purpose, appropriate arithmetical manipulations with data and calibration frames must be performed. Furthermore, a full understanding of all the possible measurements relies on the firm constraint of their associated errors. We discuss different strategies for obtaining realistic determinations of final random errors. In particular, we highlight the benefits of considering the data reduction process as the full characterization of the raw data frames, but avoiding, as far as possible, the arithmetical manipulation of the data until the final measurement and analysis of the image properties. This approach will be used in the pipeline data reduction for ELMER and EMIR.
Type
Non-refereed
Methods

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