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部分子分布函数(PDF)拟合×矩阵元方法×重整化群方程×
领域粒子物理学粒子物理学粒子物理学
方法族Process / pipelineProcess / pipelineProcess / pipeline
起源年份196919881970
提出者James Bjorken and collaboratorsK. KondoCurtis Callan and David Gross
类型QCD frameworkProbability calculation frameworkScale dependence framework
开创性文献Bjorken, J. D. (1969). Asymptotic sum rules at infinite momentum. Physical Review, 179(5), 1547. 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 ↗Callan, C. G. (1970). Broken scale invariance in scalar field theory. Physical Review D, 2(6), 1541. DOI ↗
别名PDF, structure function, parton modelMEM, matrix element calculation, amplitude evaluationRGE, running couplings, beta function evolution
相关333
摘要Parton Distribution Function (PDF) fitting is the process of determining the probability distributions of quarks and gluons inside hadrons using high-energy collision data. PDFs are fundamental inputs to all hadron collider phenomenology, essential for predicting cross-sections, designing triggers, and interpreting new physics searches at the Large Hadron Collider.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.Renormalization 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.
ScholarGate数据集
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ScholarGate方法对比: PDF Fitting · Matrix Element Method · Renormalization Group Equations. 于 2026-06-18 检索自 https://scholargate.app/zh/compare