Towards the nucleon hadronic tensor from lattice QCD

被引:34
|
作者
Liang, Jian [1 ]
Draper, Terrence [1 ]
Liu, Keh-Fei [1 ]
Rothkopf, Alexander [2 ]
Yang, Yi-Bo [3 ]
机构
[1] Univ Kentucky, Dept Phys & Astron, Lexington, KY 40506 USA
[2] Univ Stavanger, Fac Sci & Technol, N-4021 Stanvanger, Norway
[3] Chinese Acad Sci, CAS Key Lab Theoret Phys, Inst Theoret Phys, Beijing 100190, Peoples R China
来源
PHYSICAL REVIEW D | 2020年 / 101卷 / 11期
基金
美国国家科学基金会;
关键词
MAXIMUM-ENTROPY ANALYSIS;
D O I
10.1103/PhysRevD.101.114503
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We present the first calculation of the hadronic tensor on the lattice for the nucleon. The hadronic tensor can be used to extract structure functions in deep inelastic scatterings and to provide information for neutrino-nucleon scattering which is crucial to neutrino-nucleus scattering experiments at low energies. The most challenging part in the calculation is to solve an inverse problem. We have implemented and tested three algorithms using mock data, showing that the Bayesian reconstruction method has the best resolution in extracting peak structures while the Backus-Gilbert and maximum entropy methods are somewhat more stable for smooth functions. Numerical results are presented for both the elastic case (clover fermions on domain wall configurations with m(pi) similar to 370 MeV and a similar to 0.06 fm) and a case (anisotropic clover lattice with m(pi) similar to 380 MeV and a(t) similar to 0.035 fm) with large momentum transfer. For the former case, the reconstructed Minkowski hadronic tensor gives precisely the vector charge which proves the feasibility of the approach. For the latter case, the resonance and possibly shallow inelastic scattering contributions around energy transfer nu = 1 GeV are clearly observed but no information is obtained for higher excited states with nu > 2 GeV. A check of the effective masses of the rho meson with different lattice setups indicates that, in order to reach higher energy transfers, using lattices with smaller lattice spacings is essential.
引用
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页数:12
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