Response Function Modeling

Response Function Modeling is a computational framework that characterizes the relationship between incident gamma-ray photons and the measured detector output by mathematically describing the probability distribution of signal responses as a function of energy, position, and environmental conditions.

676

Publications

31.2K

Citations

1.8K

Authors

754

Institutions

Publications per year

2017–2026

87

Authors

1.8K

  1. RG
    R.P. Gardner

    North Carolina State University, United States

    7 publications · 290 citations

    7

    h-index

  2. RR
    Rob R. Meijer

    University of Groningen, Netherlands

    4 publications · 225 citations

    4

    h-index

  3. KV
    K. Verghese

    North Carolina State University, United States

    4 publications · 165 citations

    4

    h-index

  4. TN
    T. Nakamura

    Tohoku University, Japan

    4 publications · 165 citations

    4

    h-index

  5. EL
    Eugenio Lippiello

    University of Campania "Luigi Vanvitelli", Italy

    3 publications · 89 citations

    3

    h-index

1–5 of 1.8K

Venues

  1. 18

    h-index

  2. Physical review. B, Condensed matter

    PRB · 21 publications · 880 citations

    16

    h-index

  3. The Journal of Chemical Physics

    17 publications · 620 citations

    14

    h-index

  4. Physical Review E

    PRE · 9 publications · 188 citations

    9

    h-index

  5. Physical Review Letters

    PRL · 9 publications · 805 citations

    9

    h-index

1–5