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| VEGAS Монте Карло× | Диаграма на Файнман× | Fitting на партонни разпределителни функции (PDF)× | |
|---|---|---|---|
| Област | Физика на елементарните частици | Физика на елементарните частици | Физика на елементарните частици |
| Семейство | Process / pipeline | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1978 | 1949 | 1969 |
| Създател≠ | Peter Lepage | Richard Feynman | James Bjorken and collaborators |
| Тип≠ | Adaptive sampling algorithm | Visualization and calculation framework | QCD framework |
| Основополагащ източник≠ | 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 ↗ |
| Други названия≠ | VEGAS algorithm, adaptive importance sampling, multidimensional integration | Feynman graph, interaction diagram | PDF, structure function, parton model |
| Свързани | 3 | 3 | 3 |
| Резюме≠ | 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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