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横动量依赖（TMD）因子分解中的W玻色子产生

W-boson production in TMD factorization.

作者信息

Gutierrez-Reyes Daniel, Leal-Gomez Sergio, Scimemi Ignazio

机构信息

Departamento de Física Teórica and IPARCOS, Universidad Complutense de Madrid (UCM), Plaza Ciencias 1, 28040 Madrid, Spain.

Faculty of Physics, Wien Universität, Boltzmanngasse 5, 1090 Vienna, Austria.

出版信息

Eur Phys J C Part Fields. 2021;81(5):418. doi: 10.1140/epjc/s10052-021-09202-9. Epub 2021 May 13.

DOI:10.1140/epjc/s10052-021-09202-9
PMID:34720717
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8550156/
Abstract

At hadron colliders, the differential cross section for production can be factorized and it is sensitive transverse momentum dependent distributions (TMD) for low boson transverse momentum. While, often, the corresponding non-perturbative QCD contributions are extrapolated from boson production, here we use an existing extraction (based on the code Artemide) of TMD which includes data coming from Drell-Yan and semi-inclusive deep inelastic scattering, to provide checks and predictions for the case. Including fiducial cuts with different configurations and kinematical power corrections, we consider transverse momentum dependent cross sections within several intervals of the vector boson transverse mass. We perform the same study for the and distributions. We compare our predictions with recent extractions of these quantities at ATLAS and CMS and results from TeVatron. The results encourage a broader experimental and phenomenological work, and a deeper study of TMD for the case.

摘要

在强子对撞机中，粒子产生的微分截面可以进行因子分解，并且对于低玻色子横向动量，它对横向动量依赖分布（TMD）敏感。然而，通常情况下，相应的非微扰量子色动力学贡献是从玻色子产生中推断出来的，在此我们使用现有的（基于Artemide代码）TMD提取方法，该方法包括来自Drell-Yan和半单举深度非弹性散射的数据，以对该情况进行检验和预测。包括具有不同配置的基准切割和运动学幂次修正，我们考虑了矢量玻色子横向质量几个区间内的横向动量依赖截面。我们对和分布进行了相同的研究。我们将我们的预测与ATLAS和CMS最近对这些量的提取结果以及Tevatron的结果进行了比较。这些结果鼓励开展更广泛的实验和唯象学工作，以及对该情况的TMD进行更深入的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/d83d4b357fe5/10052_2021_9202_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/0a44fcc00d46/10052_2021_9202_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/c973c445cec1/10052_2021_9202_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/53181be0de72/10052_2021_9202_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/738e6d43dc2c/10052_2021_9202_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/435fdd05ca68/10052_2021_9202_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/ee47a5bde30d/10052_2021_9202_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/9c50589082dc/10052_2021_9202_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/b86bf275bd9d/10052_2021_9202_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/553c5b54420d/10052_2021_9202_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/f96082d58d98/10052_2021_9202_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/e91f9d659d9e/10052_2021_9202_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/313ac726455d/10052_2021_9202_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/6bc84d614eff/10052_2021_9202_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/d83d4b357fe5/10052_2021_9202_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/0a44fcc00d46/10052_2021_9202_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/c973c445cec1/10052_2021_9202_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/53181be0de72/10052_2021_9202_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/738e6d43dc2c/10052_2021_9202_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/435fdd05ca68/10052_2021_9202_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/ee47a5bde30d/10052_2021_9202_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/9c50589082dc/10052_2021_9202_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/b86bf275bd9d/10052_2021_9202_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/553c5b54420d/10052_2021_9202_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/f96082d58d98/10052_2021_9202_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/e91f9d659d9e/10052_2021_9202_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/313ac726455d/10052_2021_9202_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/6bc84d614eff/10052_2021_9202_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/8550156/d83d4b357fe5/10052_2021_9202_Fig14_HTML.jpg

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Precision measurement and interpretation of inclusive , and production cross sections with the ATLAS detector.利用ATLAS探测器对包含性、以及产生截面进行精确测量和解释。
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