What the new RooFit can do for your analysis

@article{Hageboeck2020WhatTN,
  title={What the new RooFit can do for your analysis},
  author={S. Hageboeck},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.02746}
}
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. 

Figures from this paper

References

SHOWING 1-9 OF 9 REFERENCES
Making RooFit Ready for Run 3
  • 3
  • PDF
A Faster, More Intuitive RooFit
  • 3
  • PDF
The RooFit Toolkit for Data Modeling
  • 578
  • PDF
Mass distributions marginalized over per-event errors
  • 149
  • Highly Influential
  • PDF
ROOT: an object-oriented data analysis framework
  • 1,078
  • PDF
Systems of frequency curves generated by methods of translation.
  • 1,785
  • Highly Influential
A New PyROOT: Modern, Interoperable and More Pythonic
  • 2
  • PDF
More Intuitive RooFit
  • EPJ Web Conf
  • 2020