Response Matrix Modeling

Response Matrix Modeling is a computational method in X-ray data analysis that characterizes the transformation between incident photon spectra and detected signals by mathematically encoding instrumental response functions, distinguishing itself through its systematic representation of energy dispersion, efficiency, and resolution effects in spectrometric measurements.

105

Publications

3.9K

Citations

322

Authors

172

Institutions

Publications per year

2017–2026

15

Variants

Response Matrix Method

Authors

322

  1. SH
    Songming Hou

    Louisiana Tech University, United States

    4 publications · 258 citations

    4

    h-index

  2. SM
    Susumu MINATO

    Nagoya Industrial Science Research Institute, Japan

    3 publications · 98 citations

    3

    h-index

  3. HZ
    Hongkai Zhao

    University of California, Irvine, United States

    3 publications · 138 citations

    3

    h-index

  4. WP
    Won‐Kwang Park

    Kookmin University, South Korea

    2 publications · 179 citations

    2

    h-index

  5. HA
    Habib Ammari

    École Polytechnique, France

    2 publications · 109 citations

    2

    h-index

1–5 of 322

Venues

  1. 8

    h-index

  2. Journal of Nuclear Science and Technology

    JNST · 3 publications · 44 citations

    3

    h-index

  3. Annals of Nuclear Energy

    3 publications · 49 citations

    3

    h-index

  4. Review of Scientific Instruments

    3 publications · 89 citations

    3

    h-index

  5. Inverse Problems

    3 publications · 231 citations

    3

    h-index

1–5