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Prilagođavanje PDF-ova×Vegas Monte Carlo×
PodručjeFizika česticaFizika čestica
ObiteljProcess / pipelineProcess / pipeline
Godina nastanka19691978
TvoracJames Bjorken and collaboratorsPeter Lepage
VrstaQCD frameworkAdaptive sampling algorithm
Temeljni izvorBjorken, 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 ↗
Drugi naziviPDF, structure function, parton modelVEGAS algorithm, adaptive importance sampling, multidimensional integration
Srodne33
SažetakParton 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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ScholarGateUsporedite metode: PDF Fitting · Vegas Monte Carlo. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare