Image Coaddition

Image Coaddition is a data processing technique in astronomical sky surveys that combines multiple images of the same region of the sky to improve signal-to-noise ratio and detection sensitivity, distinguished from other image processing methods by its specific purpose of enhancing faint source detection through weighted averaging or stacking of aligned exposures.

15

Publications

1.2K

Citations

53

Authors

40

Institutions

Publications per year

2017–2026

4

Variants

Image Co-addition

Authors

53

  1. JA
    J. Annis

    Fermi National Accelerator Laboratory, United States

    3 publications · 430 citations

    3

    h-index

  2. LJ
    Linhua Jiang

    University of Arizona, United States

    3 publications · 430 citations

    3

    h-index

  3. XF
    Xiaohui Fan

    University of Arizona, United States

    3 publications · 430 citations

    3

    h-index

  4. MA
    Michael A. Strauss

    Princeton University, United States

    3 publications · 430 citations

    3

    h-index

  5. DE
    David E. Johnston

    University of Chicago, United States

    2 publications · 321 citations

    2

    h-index

1–5 of 53

Venues

  1. The Astronomical Journal

    AJ · 3 publications · 470 citations

    3

    h-index

  2. The Astrophysical Journal

    ApJ · 3 publications · 289 citations

    3

    h-index

  3. Publications of the Astronomical Society of the Pacific

    PASP · 2 publications · 97 citations

    2

    h-index

  4. 1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 117 citations

    1

    h-index

1–5