New method for reducing parton distribution function uncertainties in the high-mass Drell-Yan spectrum
New method for reducing parton distribution function uncertainties in the high-mass Drell-Yan spectrum
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DOI：
10.1103/physrevd.99.054004
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发表时间：
2018-09
影响因子：
5
通讯作者：
C. Willis;R. Brock;D. Hayden;T. Hou;J. Isaacson;C. Schmidt;C. Yuan
中科院分区：
文献类型：
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作者：
C. Willis;R. Brock;D. Hayden;T. Hou;J. Isaacson;C. Schmidt;C. Yuan
在大型强子对撞机（LHC）寻找超越标准模型物理的过程中，部分子分布函数（PDF）参数化的不确定性正成为一个严重的限制系统不确定性。这对于由夸克和反夸克碰撞引起的高尺度测量尤其如此，其中Drell-Yan连续谱背景占主导地位。最近提供的工具可以探索PDF拟合策略，并在未来的全局拟合中模拟新数据的影响。ePump就是这样一个工具，它表明，明智地选择可测量的运动学量可以减少分配的系统PDF的不确定性的显着因素。未来LHC标准模型数据集的巨大统计精度将使这成为可能。
Uncertainties in the parametrization of Parton Distribution Functions (PDFs) are becoming a serious limiting systematic uncertainty in Large Hadron Collider (LHC) searches for Beyond the Standard Model physics. This is especially true for measurements at high scales induced by quark and anti-quark collisions, where Drell-Yan continuum backgrounds are dominant. Tools are recently available which enable exploration of PDF fitting strategies and emulate the effects of new data in a future global fit. ePump is such a tool and it is shown that judicious selection of measurable kinematical quantities can reduce the assigned systematic PDF uncertainties by significant factors. This will be made possible by the huge statistical precision of future LHC Standard Model datasets.