Background Decomposition Techniques

Background Decomposition Techniques is a computational methodology in astrophysics that isolates diffuse cosmic infrared background emissions from foreground contaminants by leveraging statistical and spatial separation algorithms to reveal the intrinsic large-scale structure of extragalactic background light.

65

Publications

2.7K

Citations

321

Authors

189

Institutions

Publications per year

2017–2026

15

Authors

321

  1. CB
    C. Buck

    Max Planck Institute for Nuclear Physics, Germany

    2 publications · 89 citations

    2

    h-index

  2. HM
    Hazem M. El‐Bakry

    Mansoura University, Egypt

    2 publications · 23 citations

    2

    h-index

  3. ML
    M. Lindner

    Max Planck Institute for Nuclear Physics, Germany

    2 publications · 89 citations

    2

    h-index

  4. MF
    M. Franke

    Max Planck Institute for Nuclear Physics, Germany

    1 publications · 73 citations

    1

    h-index

  5. SC
    Steven Cunnington

    Queen Mary University of London, United Kingdom

    1 publications · 71 citations

    1

    h-index

1–5 of 321

Venues

  1. 10

    h-index

  2. The Astrophysical Journal

    ApJ · 7 publications · 444 citations

    7

    h-index

  3. Astronomy and Astrophysics

    5 publications · 164 citations

    4

    h-index

  4. Infrared Physics & Technology

    2 publications · 129 citations

    2

    h-index

  5. CERN Document Server (European Organization for Nuclear Research)

    Repository · 2 publications · 25 citations

    2

    h-index

1–5