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Jednačine Renormalizacione Grupe×Vegas Monte Carlo×
OblastFizika česticaFizika čestica
PorodicaProcess / pipelineProcess / pipeline
Godina nastanka19701978
TvoracCurtis Callan and David GrossPeter Lepage
TipScale dependence frameworkAdaptive sampling algorithm
Temeljni izvorCallan, C. G. (1970). Broken scale invariance in scalar field theory. Physical Review D, 2(6), 1541. DOI ↗Lepage, G. P. (1978). A new algorithm for adaptive multidimensional integration. Journal of Computational Physics, 27(2), 192–203. DOI ↗
Drugi naziviRGE, running couplings, beta function evolutionVEGAS algorithm, adaptive importance sampling, multidimensional integration
Srodne33
SažetakRenormalization Group Equations (RGEs) describe how the coupling constants and masses of a quantum field theory evolve with energy scale. They are fundamental tools for understanding the scale dependence of physics, predicting the behavior of coupling strengths at different energies, and connecting high-energy physics to low-energy precision measurements.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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ScholarGateUporedite metode: Renormalization Group Equations · Vegas Monte Carlo. Preuzeto 2026-06-19 sa https://scholargate.app/sr/compare