面向高能衍射的深度学习增强蒙特卡罗事件发生器

Q4 Physics and Astronomy

Acta Physica Polonica B, Proceedings Supplement Pub Date : 2023-04-12 DOI:10.5506/aphyspolbsupp.16.5-a6

Mikael Mieskolainen

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引用次数: 0

摘要

本文介绍了一种新的蒙特卡罗事件发生器GRANIITTI，它是专门为在大型强子对撞机中解决胶球之谜而设计的。我们讨论了可用的物理过程，将模拟与RHIC的STAR数据进行了比较，并跨越了具有深度学习增强计算引擎的第一个衍射事件生成器的雄心勃勃的未来方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Graniitti: Towards a Deep Learning-enhanced Monte Carlo Event Generator for High-energy Diffraction

We introduce GRANIITTI, a new Monte Carlo event generator designed especially to solve the enigma of glueballs at the LHC. We discuss the available physics processes, compare the simulations against STAR data from RHIC and span ambitious future directions towards the first diffractive event generator with a deep learning-enhanced computational engine.

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来源期刊

Acta Physica Polonica B, Proceedings Supplement Physics and Astronomy-Physics and Astronomy (all)

CiteScore

0.50

自引率

0.00%

发文量