Vertaile menetelmiä
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| Vegas Monte Carlo× | PDF-sovitus× | |
|---|---|---|
| Tieteenala | Hiukkasfysiikka | Hiukkasfysiikka |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 1978 | 1969 |
| Kehittäjä≠ | Peter Lepage | James Bjorken and collaborators |
| Tyyppi≠ | Adaptive sampling algorithm | QCD framework |
| Alkuperäislähde≠ | Lepage, G. P. (1978). A new algorithm for adaptive multidimensional integration. Journal of Computational Physics, 27(2), 192–203. DOI ↗ | Bjorken, J. D. (1969). Asymptotic sum rules at infinite momentum. Physical Review, 179(5), 1547. DOI ↗ |
| Rinnakkaisnimet | VEGAS algorithm, adaptive importance sampling, multidimensional integration | PDF, structure function, parton model |
| Liittyvät | 3 | 3 |
| Tiivistelmä≠ | 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. | 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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