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Vegas Monte Carlo×Metoda matričnih elemenata×
OblastFizika česticaFizika čestica
PorodicaProcess / pipelineProcess / pipeline
Godina nastanka19781988
TvoracPeter LepageK. Kondo
TipAdaptive sampling algorithmProbability calculation framework
Temeljni izvorLepage, G. P. (1978). A new algorithm for adaptive multidimensional integration. Journal of Computational Physics, 27(2), 192–203. DOI ↗Kondo, K. (1988). Dynamical likelihood method for reconstruction of events produced by the top-quark pair in the lepton + jets channel at hadron colliders. Journal of the Physical Society of Japan, 57(12), 4126–4140. link ↗
Drugi naziviVEGAS algorithm, adaptive importance sampling, multidimensional integrationMEM, matrix element calculation, amplitude evaluation
Srodne33
SažetakVEGAS 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.The Matrix Element Method (MEM) is a powerful analysis technique that leverages quantum field theory amplitudes to extract maximum physics information from individual events. By comparing observed detector signatures to predictions from matrix elements, MEM provides unbiased, model-independent measurements with excellent theoretical precision and sensitivity to new physics.
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ScholarGateUporedite metode: Vegas Monte Carlo · Matrix Element Method. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare