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PDFフィッティング×VEGASモンテカルロ×
分野素粒子物理学素粒子物理学
系統Process / pipelineProcess / pipeline
提唱年19691978
提唱者James Bjorken and collaboratorsPeter Lepage
種類QCD frameworkAdaptive sampling algorithm
原典Bjorken, 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 ↗
別名PDF, structure function, parton modelVEGAS algorithm, adaptive importance sampling, multidimensional integration
関連33
概要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.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.
ScholarGateデータセット
  1. v1
  2. 3 出典
  3. PUBLISHED
  1. v1
  2. 3 出典
  3. PUBLISHED

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ScholarGate手法を比較: PDF Fitting · Vegas Monte Carlo. 2026-06-18に以下より取得 https://scholargate.app/ja/compare