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A new approach in data reduction: proper handling of random errors and\n image distortions

2002/05/13 by N. Cardiel, Cardiel, N., J. Gorgas +19
Decision Sciences · Engineering · Physics and Astronomy · #Advanced Electrical Measurement Techniques #Astrophysics (astro-ph) #Calibration and Measurement Techniques #FOS: Physical sciences #Scientific Measurement and Uncertainty Evaluation #astro-ph

paper · pdf · doi:10.48550/arxiv.astro-ph/0205181

4 pages, 3 figures. Procceedings of the meeting "Science with GTC" (Granada, Spain) in 2002 February. To appear in RMAA (Conference Series)

arxiv created 2002/05/13 · openalex publication_date 2002/05/13 · arxiv updated 2009/12/01 · openalex created_date 2019/07/30 · openalex updated_date 2026/07/28

Abstract

Data reduction procedures are aimed to minimize the impact of data\nacquisition imperfections on the measurement of data properties with a\nscientific meaning for the astronomer. To achieve this purpose, appropriate\narithmetic manipulations with data and calibration frames must be performed.\nFurthermore, a full understanding of all the possible measurements relies on a\nsolid constraint of their associated errors. We discuss different strategies\nfor obtaining realistic determinations of final random errors. In particular,\nwe highlight the benefits of considering the data reduction process as the full\ncharacterization of the raw-data frames, but avoiding, as far as possible, the\narithmetic manipulation of that data until the final measure and analysis of\nthe image properties. This philosophy will be used in the pipeline data\nreduction for ELMER and EMIR.\n

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