粒子物理学中的计算机工具
Computer tools in particle physics
摘要：
粒子物理学领域正处于非常激动人心的时代，有大量的实验以互补的方式寻找新的物理学。这使得越来越有必要在新的物理模型中获得精确的预测，以便为可能即将到来的发现做好准备。然而，分析新模型并研究它们的现象学确实具有挑战性。计算质量矩阵、相互作用顶点和衰减率已经是一项艰巨的任务。此外，获得预测的暗物质遗迹密度和其检测前景，计算味可观或估计LHC达到某些对撞机信号构成了相当的技术工作，由于目前所需的精度水平。出于这个原因，计算机工具，如SARAH，MicrOmegas，MadGraph，Spheno或FlavorKit已经变得非常流行，许多物理学家每天都在使用它们。在本课程中，我们将学习如何使用这些计算机工具来探索新的物理模型，并获得强大的数值预测，以在当前和未来的实验中探索它们。
英文摘要：
The field of particle physics is living very exciting times with a plethora of experiments looking for new physics in complementary ways. This has made increasingly necessary to obtain precise predictions in new physics models in order to be ready for a discovery that might be just around the corner. However, analyzing new models and studying their phenomenology can be really challenging. Computing mass matrices, interaction vertices and decay rates is already a tremendous task. In addition, obtaining predictions for the dark matter relic density and its detection prospects, computing flavor observables or estimating the LHC reach in certain collider signals constitutes quite a technical work due to the precision level that is currently required. For this reason, computer tools such as SARAH, MicrOmegas, MadGraph, SPheno or FlavorKit have become quite popular, and many physicists use them on a daily basis. In this course we will learn how to use these computer tools to explore new physics models and get robust numerical predictions to probe them in current and future experiments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
