论文标题
使屋顶准备3
Making RooFit Ready for Run 3
论文作者
论文摘要
在大型强子对撞机的大多数搜索和测量中，都使用了屋顶和栖息地（用于统计建模的工具包）。在运行3中收集的数据将启用具有更高精度和更复杂性的模型的测量值，但也需要更快的数据处理。在这项工作中，将讨论首先将Roofit的收藏现代化，重组数据流和屋顶的矢量可能性拟合。这些改进将使LHC实验能够处理较大的数据集，而无需在模型复杂性方面妥协，因为在运行3中，随着大型数据集的预期，拟合时间将大大增加。
RooFit and RooStats, the toolkits for statistical modelling in ROOT, are used in most searches and measurements at the Large Hadron Collider. The data to be collected in Run 3 will enable measurements with higher precision and models with larger complexity, but also require faster data processing. In this work, first results on modernising RooFit's collections, restructuring data flow and vectorising likelihood fits in RooFit will be discussed. These improvements will enable the LHC experiments to process larger datasets without having to compromise with respect to model complexity, as fitting times would increase significantly with the large datasets to be expected in Run 3.
