Сравнение на методи

	Ефективна теория на полето	Диаграма на Файнман	VEGAS Монте Карло
Област	Физика на елементарните частици	Физика на елементарните частици	Физика на елементарните частици
Семейство	Process / pipeline	Process / pipeline	Process / pipeline
Година на възникване	1979	1949	1978
Създател	Steven Weinberg	Richard Feynman	Peter Lepage
Тип	Model-independent approach	Visualization and calculation framework	Adaptive sampling algorithm
Основополагащ източник	Weinberg, S. (1979). Baryon and lepton nonconserving processes. Physical Review Letters, 43(21), 1566.	Feynman, R. P. (1949). The Theory of Positrons. Physical Review, 76(6), 749–759.	Lepage, G. P. (1978). A new algorithm for adaptive multidimensional integration. Journal of Computational Physics, 27(2), 192–203.
Други названия	EFT, effective theory, operator product expansion	Feynman graph, interaction diagram	VEGAS algorithm, adaptive importance sampling, multidimensional integration
Свързани	3	3	3
Резюме	Effective Field Theory (EFT) is a general framework for studying physics at low energies in terms of the relevant degrees of freedom, without requiring complete knowledge of high-energy physics. By expanding in powers of energy, EFT provides model-independent parameterizations of new physics effects and systematic methods for computing precision predictions of the Standard Model.	Feynman diagrams are graphical representations of particle interactions introduced by Richard Feynman in 1949. They provide an intuitive and systematic way to visualize and calculate amplitudes for quantum field theory processes, converting complex mathematical expressions into geometric pictures that reveal the underlying 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.