Background Rejection Algorithms

Background Rejection Algorithms is a computational method that distinguishes and suppresses irrelevant or noise-related signals in data by selectively identifying and eliminating contributions originating from non-target sources, thereby enhancing the prominence of desired foreground features in observational or experimental analyses.

58

Publications

6.6K

Citations

7.6K

Authors

440

Institutions

Publications per year

2017–2026

21

Authors

7.6K

  1. ML
    M. Losada

    Universidad Autónoma de Madrid, Spain

    6 publications · 267 citations

    6

    h-index

  2. MD
    M. Düren

    University of Glasgow, United Kingdom

    4 publications · 149 citations

    4

    h-index

  3. AB
    A. Bellerive

    Carleton University, Canada

    4 publications · 537 citations

    4

    h-index

  4. KK
    K. Korcyl

    Rutherford Appleton Laboratory, United Kingdom

    4 publications · 149 citations

    4

    h-index

  5. DM
    D. Muenstermann

    University of Oklahoma, United States

    4 publications · 126 citations

    4

    h-index

1–5 of 7.6K

Venues

  1. Journal of High Energy Physics

    JHEP · 8 publications · 501 citations

    8

    h-index

  2. 4

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 108 citations

    4

    h-index

  4. The Astrophysical Journal

    ApJ · 2 publications · 312 citations

    2

    h-index

  5. Physics Letters B

    2 publications · 95 citations

    2

    h-index

1–5