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Mètode de l'Element de Matriu×Vegas Monte Carlo×
CampFísica de partículesFísica de partícules
FamíliaProcess / pipelineProcess / pipeline
Any d'origen19881978
Autor originalK. KondoPeter Lepage
TipusProbability calculation frameworkAdaptive sampling algorithm
Font seminalKondo, 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 ↗Lepage, G. P. (1978). A new algorithm for adaptive multidimensional integration. Journal of Computational Physics, 27(2), 192–203. DOI ↗
ÀliesMEM, matrix element calculation, amplitude evaluationVEGAS algorithm, adaptive importance sampling, multidimensional integration
Relacionats33
ResumThe 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.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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ScholarGateCompara mètodes: Matrix Element Method · Vegas Monte Carlo. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare