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
Parents
58
Search for Low-Mass Weakly Interacting Massive Particles with SuperCDMS
R. Agnese, A. J. Anderson, M. Asai et al. · Physical Review Letters · 2014 · 528 citations · Full text
Physics and Detectors at CLIC: CLIC Conceptual Design Report
L. Linssen, M. M. Stanitzki, Harry Weerts et al. · DESY (CERN, DESY, Fermilab, IHEP, and SLAC) · 2012 · 356 citations · Full text
1–5 of 58
7.6K
6
h-index
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 7.6K
440

Lawrence Berkeley National Laboratory
Berkeley, United States
9 h-index
101 publications
9.3K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
334 publications
11.6K citations

Universidad Autónoma de Madrid
Madrid, Spain
7 h-index
25 publications
2.4K citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
34 publications
8K citations

European Organization for Nuclear Research
Geneva, Switzerland
7 h-index
238 publications
7.9K citations

Stockholm University
Stockholm, Sweden
6 h-index
50 publications
3.1K citations
Institut National de Physique Nucléaire et de Physique des Particules
Paris, France
6 h-index
211 publications
6.6K citations
Instituto de Física Corpuscular
Paterna, Spain
6 h-index
132 publications
5.6K citations
1–8 of 440
JHEP · 8 publications · 501 citations
8
h-index
4 publications · 78 citations
4
h-index
Repository · 4 publications · 108 citations
4
h-index
ApJ · 2 publications · 312 citations
2
h-index
2 publications · 95 citations
2
h-index
1–5