Unfolding at the LHC: A review of unfolding at the LHC, including recent and future developments with RooUnfold.

13 Jul 2021, 17:30
15m
Track E (Zoom)

Track E

Zoom

talk Computation, Machine Learning, and AI Computation, Machine Learning, and AI

Speaker

Vincent Alexander Croft (Tufts University (US))

Description

As the LHC prepares to enter its third run, analyses are increasingly focused on a drive for precision physics. One of the great tools for precision physics in this field is that of unfolding. This talk describes the development and usage of RooUnfold, RooFitUnfold, and RooUnfoldML in particle physics. Together they form a complete series of statistical software packages for the treatment unfolding problems, including most of the unfolding methods that are commonly used in particle physics, common uniform tools to evaluated their performance, and proposed methods for future analyses.

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Primary author

Vincent Alexander Croft (Tufts University (US))

Presentation materials