New tool for kinematic regime estimation in semi-inclusive deep-inelastic scattering
New tool for kinematic regime estimation in semi-inclusive deep-inelastic scattering
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DOI：
10.1007/jhep04(2022)084
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发表时间：
2022-01
影响因子：
5.4
通讯作者：
M. Boglione;M. Diefenthaler;S. Dolan;L. Gamberg;W. Melnitchouk;D. Pitonyak;A. Prokudin;N. Sato;Z. Scalyer
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作者：
M. Boglione;M. Diefenthaler;S. Dolan;L. Gamberg;W. Melnitchouk;D. Pitonyak;A. Prokudin;N. Sato;Z. Scalyer
我们引入了一种新的基于动量区域指示器的唯象工具来指导半包含深度非弹性散射测量的分析和解释。这个新的工具被称为“亲和力”，旨在帮助可视化和量化任何实验运动学介子与特定强子产生区的接近程度，例如与横向动量相关因式分解相关的强子产生区。我们将亲和力估计器应用于现有的Hermes和COMPASS数据以及来自杰斐逊实验室和未来电子离子对撞机的预期数据。我们还提供了一个基于机器学习的交互式笔记本，用于快速评估亲和力。
We introduce a new phenomenological tool based on momentum region indicators to guide the analysis and interpretation of semi-inclusive deep-inelastic scattering measurements. The new tool, referred to as “affinity”, is devised to help visualize and quantify the proximity of any experimental kinematic bin to a particular hadron production region, such as that associated with transverse momentum dependent factorization. We apply the affinity estimator to existing HERMES and COMPASS data and expected data from Jefferson Lab and the future Electron-Ion Collider. We also provide an interactive notebook based on Machine Learning for fast evaluation of affinity.