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VEGASモンテカルロ×ファインマン図×PDFフィッティング×
分野素粒子物理学素粒子物理学素粒子物理学
系統Process / pipelineProcess / pipelineProcess / pipeline
提唱年197819491969
提唱者Peter LepageRichard FeynmanJames Bjorken and collaborators
種類Adaptive sampling algorithmVisualization and calculation frameworkQCD framework
原典Lepage, G. P. (1978). A new algorithm for adaptive multidimensional integration. Journal of Computational Physics, 27(2), 192–203. DOI ↗Feynman, R. P. (1949). The Theory of Positrons. Physical Review, 76(6), 749–759. DOI ↗Bjorken, J. D. (1969). Asymptotic sum rules at infinite momentum. Physical Review, 179(5), 1547. DOI ↗
別名VEGAS algorithm, adaptive importance sampling, multidimensional integrationFeynman graph, interaction diagramPDF, structure function, parton model
関連333
概要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.Feynman diagrams are graphical representations of particle interactions introduced by Richard Feynman in 1949. They provide an intuitive and systematic way to visualize and calculate amplitudes for quantum field theory processes, converting complex mathematical expressions into geometric pictures that reveal the underlying physics.Parton 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.
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ScholarGate手法を比較: Vegas Monte Carlo · Feynman Diagram · PDF Fitting. 2026-06-19に以下より取得 https://scholargate.app/ja/compare