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

Authors

5.6K

  1. SG
    Stephen Gwyn

    Herzberg Institute of Astrophysics, Canada

    18 publications · 1K citations

    17

    h-index

  2. JC
    Jean‐Charles Cuillandre

    Centre National de la Recherche Scientifique, France

    17 publications · 747 citations

    15

    h-index

  3. MF
    Matteo Fossati

    University of Milano-Bicocca, Italy

    16 publications · 1.1K citations

    14

    h-index

  4. GH
    G. Hensler

    University of Vienna, Austria

    15 publications · 543 citations

    13

    h-index

  5. MB
    M. Boquien

    Centre National de la Recherche Scientifique, France

    15 publications · 561 citations

    13

    h-index

1–5 of 5.6K

Venues

  1. 40

    h-index

  2. Astronomy and Astrophysics

    71 publications · 5.4K citations

    38

    h-index

  3. The Astrophysical Journal

    ApJ · 40 publications · 3.9K citations

    33

    h-index

  4. Publications of the Astronomical Society of the Pacific

    PASP · 34 publications · 4.4K citations

    27

    h-index

  5. The Astrophysical Journal Supplement Series

    35 publications · 4.9K citations

    27

    h-index

1–5