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arXiv 1601.04590hep-ph
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用于NLO及以上的整数缩减技术

Integrand-reduction techniques for NLO and beyond

Giovanni Ossola

摘要:

在简要介绍了积分约简方法之后,我们将回顾GoSam 2.0单循环计算自动化框架的主要功能,并说明其在SM过程中的应用,该过程涉及与射流和光子一起产生大质量粒子。这些结果是通过将GoSam与不同的Monte Carlo框架相结合,从而将NLO计算与部分子簇射效应相结合而获得的。在演讲的第二部分,我们将重点介绍GoSam在NLO之外的应用。该代码已被用于NNLO计算中的实虚贡献的计算和近似NNLO和再确认技术所需的硬函数的评估。最后,我们将简要讨论一个有前途的方法,用于减少散射振幅超过一个循环的基础上,通过多元多项式除法被积函数减少。

英文摘要:

After a brief general introduction about the integrand-reduction method, we will review the main features of the GoSam 2.0 automated framework for one-loop calculations and illustrate its application to SM processes involving the production of massive particles in conjunction with jets and photons. These results have been obtained by interfacing GoSam with different Monte Carlo frameworks, thus combining the NLO calculation with parton shower effects. In the second part of the presentation, we will focus on the applications of GoSam beyond NLO. The code has already been used within NNLO calculations for the computation of real-virtual contributions and for the evaluation of the hard functions needed by approximate NNLO and resummation techniques. We will finally briefly discuss a promising approach for the reduction of scattering amplitudes beyond one loop based on integrand reduction via multivariate polynomial division.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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