Source Population Synthesis

Source Population Synthesis is a computational modeling framework in astrophysics that reconstructs the cumulative X-ray background radiation by statistically combining the intrinsic properties and redshift evolution of discrete astrophysical sources to determine their collective observational signatures.

50

Publications

2.2K

Citations

137

Authors

108

Institutions

Publications per year

2017–2026

12

Authors

137

  1. RV
    R. Voss

    Radboud University Nijmegen, Netherlands

    3 publications · 66 citations

    3

    h-index

  2. ST
    Silvia Toonen

    University of Amsterdam, Netherlands

    3 publications · 136 citations

    3

    h-index

  3. RG
    R. Gilli

    University of Bologna, Italy

    2 publications · 244 citations

    2

    h-index

  4. DW
    D. W. Gardenier

    University of Amsterdam, Netherlands

    2 publications · 49 citations

    2

    h-index

  5. MV
    Marc van der Sluys

    Northwestern University, United States

    2 publications · 43 citations

    2

    h-index

1–5 of 137

Venues

  1. Astronomy and Astrophysics

    14 publications · 800 citations

    13

    h-index

  2. 10

    h-index

  3. The Astrophysical Journal

    ApJ · 5 publications · 254 citations

    5

    h-index

  4. Springer Link (Chiba Institute of Technology)

    Repository · 4 publications · 104 citations

    4

    h-index

  5. Astrophysics and Space Science

    1 publications · 51 citations

    1

    h-index

1–5