In this thesis, we present recent advances at the precision frontier of higher-order quantum chromodynamics (QCD) calculations. We consider massless two-loop five-point amplitudes, with a particular focus on diphoton-plus-jet production through gluon fusion. We build a library of infrared functions up to at most next-to-next-to-leading order (NNLO) in QCD, which can be used to validate amplitudes and construct counterterms in subtraction schemes at NNLO. We review progress in the novel use of machine learning technology to optimise the evaluation of amplitudes in hadron collider simulations. We present the full-colour virtual QCD corrections to diphoton-plus-jet production through gluon fusion, discussing the new techniques developed to calculate these non-planar two-loop amplitudes. We use these amplitudes to compute the next-to-leading QCD corrections to the differential cross sections of diphoton-plus-jet production through gluon fusion at the Large Hadron Collider. We also present the leading-colour double-virtual corrections to hadronic trijet production. All derived amplitudes are made available in a public implementation that is ready for further phenomenological application.
翻译:在本论文中,我们介绍了高阶量相色体计算(QCD)精确前沿的最新进展。我们考虑了无质量的双环五点振幅,特别侧重于通过 gluon 聚合生产二磷+jet 。我们在QCD 中建立了一个红外函数库,最多在次至后至前导顺序(NNNLO),可以用来验证振幅,并在NNLO的减让方案中构建反术语。我们审查了在新颖使用机器学习技术优化对五点对面极振幅的评估方面的进展。我们介绍了通过 gluon 聚合对二色子+jet 生产进行全色虚拟QCD校正的情况,讨论了为计算这些非平面双圈振幅振幅而开发的新技术。我们用这些振幅来对NNNLO的减让方案进行下至前导的QCD校校校校。我们审查了机器学习技术的新应用情况,以优化对对面光电极振幅的振荡评估。我们目前通过GROCRE进行双基的模拟生产,现在可以用于进行双向三极制成。