Data Reduction Pipelines
A Data Reduction Pipeline is a systematic computational framework designed to transform raw observational data from astronomical surveys into scientifically usable forms by sequentially applying calibrated preprocessing, noise reduction, artifact removal, and calibration procedures specific to the observational modality, such as gamma-ray, X-ray, or radio wavelength data.
866
Publications
87.7K
Citations
5.6K
Authors
1.1K
Institutions
Publications per year
2017–2026
297
866
Astronomical Data Analysis Software and Systems
R. W. Argyle, P. Bunclark, Jeffrey R. Lewis · 2008 · 3.7K citations
Natural Sciences, Astronomy, Physics +12
1–5 of 866
5.6K
17
h-index
Centre National de la Recherche Scientifique, France
17 publications · 747 citations
15
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14
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13
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13
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1–5 of 5.6K
1.1K

Centre National de la Recherche Scientifique
Paris, France
40 h-index
455 publications
36.5K citations
California Institute of Technology
Pasadena, United States
36 h-index
177 publications
72.2K citations

Space Telescope Science Institute
Baltimore, United States
35 h-index
125 publications
14.9K citations
Center for Astrophysics Harvard & Smithsonian
Cambridge, United States
33 h-index
82 publications
9.4K citations
University of Arizona
Tucson, United States
30 h-index
65 publications
10.7K citations
Max Planck Institute for Astronomy
Heidelberg, Germany
29 h-index
95 publications
7.6K citations
European Southern Observatory
Garching bei München, Germany
28 h-index
132 publications
18K citations
Max Planck Institute for Extraterrestrial Physics
Garching bei München, Germany
28 h-index
84 publications
18K citations
1–8 of 1.1K
63 publications · 6K citations
40
h-index
71 publications · 5.4K citations
38
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ApJ · 40 publications · 3.9K citations
33
h-index
PASP · 34 publications · 4.4K citations
27
h-index
35 publications · 4.9K citations
27
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1–5