Speaker
Stephan Hageboeck
(University of Bonn (DE))
Description
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 talk, first results on vectorising and multi-threading likelihood fits in RooFit will be presented. These improvements will enable the LHC experiments to process larger datasets without having to compromise with respect to model complexity.
Primary author
Stephan Hageboeck
(University of Bonn (DE))
Co-author
Lorenzo Moneta
(CERN)
