Cross Section Uncertainty Quantification
Cross Section Uncertainty Quantification is a methodological framework within cross section data analysis that characterizes and quantifies the statistical reliability and variability of cross-sectional estimates to account for measurement errors, sampling biases, and model assumptions inherent in observational or experimental data.
27
Publications
1.6K
Citations
99
Authors
61
Institutions
Publications per year
2017–2026
6
Parents
27
The PDF4LHC Working Group Interim Recommendations
M. Botje, J. M. Butterworth, A. M. Cooper-Sarkar et al. · arXiv (Cornell University) · 2011 · 493 citations · Full text
The PDF4LHC Working Group Interim Report
S. Alekhin, Simone Alioli, Richard D. Ball et al. · arXiv (Cornell University) · 2011 · 268 citations · Full text
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Los Alamos National Laboratory
Los Alamos, United States
4 h-index
9 publications
161 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
3 publications
52 citations
Citadel
Charleston, United States
2 h-index
2 publications
47 citations
International Atomic Energy Agency
Vienna, Austria
2 h-index
2 publications
142 citations

European Organization for Nuclear Research
Geneva, Switzerland
2 h-index
2 publications
522 citations

Fermi National Accelerator Laboratory
Batavia, United States
2 h-index
2 publications
35 citations
Texas A&M University
College Station, United States
2 h-index
12 publications
155 citations
Institute of Particle Physics
Victoria, Canada
2 h-index
3 publications
1K citations
1–8 of 61
JHEP · 3 publications · 76 citations
3
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Repository · 3 publications · 778 citations
3
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2 publications · 36 citations
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2 publications · 44 citations
2
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1 publications · 156 citations
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