Survey Selection Function

Survey Selection Function is a mathematical or algorithmic construct that specifies the probability of detecting or including a celestial radio source in a survey, distinguishing it from other observational functions by encoding the instrumental, observational, and data-processing biases inherent to a specific radio telescope or survey methodology.

136

Publications

10.9K

Citations

1.1K

Authors

328

Institutions

Publications per year

2017–2026

43

Authors

1.1K

  1. JC
    Johan Comparat

    Max Planck Institute for Extraterrestrial Physics, Germany

    6 publications · 501 citations

    6

    h-index

  2. WJ
    Will J. Percival

    University of Portsmouth, United Kingdom

    5 publications · 694 citations

    5

    h-index

  3. AR
    Andrew R. Casey

    Monash University, Australia

    4 publications · 159 citations

    5

    h-index

  4. HB
    H. Böhringer

    Max Planck Institute for Extraterrestrial Physics, Germany

    5 publications · 600 citations

    5

    h-index

  5. AD
    Arnaud de Mattia

    Institut de Recherche sur les Lois Fondamentales de l'Univers, France

    5 publications · 492 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. Monthly Notices of the Royal Astronomical Society

    52 publications · 3.8K citations

    33

    h-index

  2. The Astrophysical Journal

    ApJ · 16 publications · 1.4K citations

    17

    h-index

  3. Astronomy and Astrophysics

    15 publications · 837 citations

    15

    h-index

  4. The Astronomical Journal

    AJ · 11 publications · 1.8K citations

    11

    h-index

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

    Repository · 4 publications · 102 citations

    4

    h-index

1–5