Weight Windows Generation

Weight Windows Generation is a computational method in adjoint transport theory that systematically defines spatially and energetically dependent weight thresholds to optimize particle importance sampling in Monte Carlo simulations by leveraging adjoint flux solutions as a guide for variance reduction.

14

Publications

560

Citations

31

Authors

14

Institutions

Publications per year

2017–2026

0

Authors

31

  1. JH
    J.S. Hendricks

    Los Alamos National Laboratory, United States

    2 publications · 22 citations

    2

    h-index

  2. SW
    Scott W. Mosher

    Oak Ridge National Laboratory, United States

    2 publications · 178 citations

    2

    h-index

  3. TE
    Thomas Evans

    Oak Ridge National Laboratory, United States

    2 publications · 25 citations

    2

    h-index

  4. TB
    Tom Booth

    University of Edinburgh, United Kingdom

    2 publications · 32 citations

    2

    h-index

  5. JC
    John C. Wagner

    Oak Ridge National Laboratory, United States

    2 publications · 178 citations

    2

    h-index

1–5 of 31

Venues

  1. Nuclear Science and Engineering

    5 publications · 300 citations

    5

    h-index

  2. 4

    h-index

  3. Radiation Protection Dosimetry

    1 publications · 18 citations

    1

    h-index

  4. ACM Transactions on Graphics

    TOG · 1 publications · 45 citations

    1

    h-index

  5. Decision Support Systems

    1 publications · 71 citations

    1

    h-index

1–5