sTools – a data reduction pipeline for the GREGOR Fabry-Pérot Interferometer and the High-resolution Fast Imager at the GREGOR solar telescope

A huge amount of data has been acquired with the GREGOR Fabry-Pérot Interferometer (GFPI), large-format facility cameras, and since 2016 with the High-resolution Fast Imager (HiFI). These data are processed in standardized procedures with the aim of providing science-ready data for the solar physics...

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Bibliographic Details
Published inProceedings of the International Astronomical Union Vol. 12; no. S327; pp. 20 - 24
Main Authors Kuckein, C., Denker, C., Verma, M., Balthasar, H., Manrique, S. J. González, Louis, R. E., Diercke, A.
Format Journal Article
LanguageEnglish
Published Cambridge, UK Cambridge University Press 01.10.2016
Subjects
Astronomy
Astrophysics
Cameras
Contributed Papers
Data acquisition
Data reduction
Fabry-Perot interferometers
High resolution
Image reconstruction
Image resolution
Physics
Pipelines
Solar physics
techniques: image processing
astronomical data bases: miscellaneous
methods: data analysis
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Summary:A huge amount of data has been acquired with the GREGOR Fabry-Pérot Interferometer (GFPI), large-format facility cameras, and since 2016 with the High-resolution Fast Imager (HiFI). These data are processed in standardized procedures with the aim of providing science-ready data for the solar physics community. For this purpose, we have developed a user-friendly data reduction pipeline called “sTools” based on the Interactive Data Language (IDL) and licensed under creative commons license. The pipeline delivers reduced and image-reconstructed data with a minimum of user interaction. Furthermore, quick-look data are generated as well as a webpage with an overview of the observations and their statistics. All the processed data are stored online at the GREGOR GFPI and HiFI data archive of the Leibniz Institute for Astrophysics Potsdam (AIP). The principles of the pipeline are presented together with selected high-resolution spectral scans and images processed with sTools.
ISSN:1743-9213
1743-9221
DOI:10.1017/S1743921317000114