arXiv journal 22.0408 QCD and Machine Learning

最新推荐文章于 2022-12-06 23:28:47 发布

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本文探讨了量子色动力学(QCD)的正则性约束及其对异常维度的影响，同时介绍了Snowmass2021白皮书中提出的电子离子对撞机在高能物理研究中的作用。此外，还涉及了图神经网络的贝叶斯深度学习方法以及流形学习的数学基础。

QCD SUM RULES, A MODERN PERSPECTIVE
https://arxiv.org/pdf/hep-ph/0010175.pdf

Positivity constraints for anomalous dimensions
https://inspirehep.net/literature/85151

Snowmass 2021 White Paper:
Electron Ion Collider for High Energy Physics
https://arxiv.org/pdf/2203.13199.pdf

Bayesian Deep Learning for Graphs
https://arxiv.org/pdf/2202.12348.pdf

The Mathematical Foundations of Manifold Learning
https://arxiv.org/pdf/2011.01307.pdf

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