RooFit is a toolkit for statistical modelling and fitting, and together with RooStats it is used for measurements and statistical tests by most experiments in particle physics. Since one year, RooFit is being modernised. In this talk, improvements already released with ROOT will be discussed, such as faster data loading, vectorised computations and more standard-like interfaces. These allow for speeding up unbinned fits by several factors, and make RooFit easier to use from both C++ and Python.

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新的RooFit可以为您做哪些分析

RooFit是用于统计建模和拟合的工具包，它与RooStats一起用于大多数粒子物理学实验中的测量和统计测试。自一年以来，RooFit进行了现代化。在本次演讲中，将讨论ROOT已经发布的改进，例如更快的数据加载，向量化的计算以及更多类似标准的接口。这些允许通过几个因素来加快未绑定拟合的速度，并使RooFit在C ++和Python中更易于使用。