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Persamaan Kumpulan Renormalisasi×VEGAS Monte Carlo×
BidangFizik ZarahFizik Zarah
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19701978
PengasasCurtis Callan and David GrossPeter Lepage
JenisScale dependence frameworkAdaptive sampling algorithm
Sumber perintisCallan, 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 ↗
AliasRGE, running couplings, beta function evolutionVEGAS algorithm, adaptive importance sampling, multidimensional integration
Berkaitan33
RingkasanRenormalization 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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ScholarGateBandingkan kaedah: Renormalization Group Equations · Vegas Monte Carlo. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare