CT14 Monte-Carlo parton distributions with positivity and asymmetric uncertainties

Tie-Jiun Hou,Jun Gao,Joey Huston,Pavel Nadolsky,Carl Schmidt,Daniel R. Stump,Bingran Wang,Keping Xie,Sayipjamal Dulat, Jon Pumplin,C.-P. Yuan

Proceedings of XXIV International Workshop on Deep-Inelastic Scattering and Related Subjects — PoS(DIS2016)（2016）

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摘要

In the context of the CT14 analysis of parton distribution functions, we propose a new technique for generation of Monte-Carlo replica sets from Hessian eigenvector sets. The technique preserves non-negative behavior and asymmetry properties of Hessian eigenvector sets. The generated ensemble of Monte-Carlo replicas is suitable for various applications, such as Bayesian reweighting and combination of PDF ensembles.

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