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PDF-i sobitamine×Vegas Monte Carlo×
ValdkondOsakestefüüsikaOsakestefüüsika
PerekondProcess / pipelineProcess / pipeline
Tekkeaasta19691978
LoojaJames Bjorken and collaboratorsPeter Lepage
TüüpQCD frameworkAdaptive sampling algorithm
AlgallikasBjorken, J. D. (1969). Asymptotic sum rules at infinite momentum. Physical Review, 179(5), 1547. DOI ↗Lepage, G. P. (1978). A new algorithm for adaptive multidimensional integration. Journal of Computational Physics, 27(2), 192–203. DOI ↗
RööpnimetusedPDF, structure function, parton modelVEGAS algorithm, adaptive importance sampling, multidimensional integration
Seotud33
KokkuvõteParton Distribution Function (PDF) fitting is the process of determining the probability distributions of quarks and gluons inside hadrons using high-energy collision data. PDFs are fundamental inputs to all hadron collider phenomenology, essential for predicting cross-sections, designing triggers, and interpreting new physics searches at the Large Hadron Collider.VEGAS is an adaptive Monte Carlo algorithm for numerical integration of multidimensional functions, particularly useful for high-dimensional integrals common in particle physics calculations. By adaptively refining the sampling distribution to concentrate points in high-contribution regions, VEGAS dramatically improves integration efficiency compared to naive Monte Carlo.
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ScholarGateVõrdle meetodeid: PDF Fitting · Vegas Monte Carlo. Loetud 2026-06-18 aadressilt https://scholargate.app/et/compare