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Self-similarity based model of double parton distribution functions at LHC

机译:LHC下双PAREON分布函数的基于自相似性模型

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摘要

The notion of self-similarity, pursued earlier for small x physics at HERA, is used to construct a model for double parton distribution functions (dPDFs) at small x1 and x2, the longitudinal fractional momenta of two partons. A necessary input to such a theoretical approach is the parton distribution functions (PDFs). In this model, the most general form of dPDF is found to have total thirteen parameters to be fitted from LHC data. We show that the constructed dPDF does not factorize into two single PDFs in conformity with QCD expectation and it vanishes at the kinematic boundary.
机译:在HERA的小X物理上提前追求的自相似性的概念,用于在小X1和X2处构建双PARTON分布函数(DPDF)的模型,两个部分的纵向小势矩。对这种理论方法的必要输入是Parton分发功能(PDF)。在该模型中,发现最常见的DPDF形式有13个参数从LHC数据配备。我们表明,构建的DPDF不会以QCD预期构成的两个单个PDF分解成两个单一的PDF,并且在运动边界处消失。

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