Jun 10 – 13, 2024
Europe/Paris timezone

Profile likelihood unfolding with large number of bins (20+20)

Jun 12, 2024, 10:50 AM
40m

Speaker

David Walter (CERN)

Description

In this talk we will discuss previous measurements using binned maximum likelihood unfolding focusing on analyses with large numbers of bins and nuisance parameters. We will outline the technical implementation and highlight the challenges and limitations. Furthermore, we showcase the newly-developed approach of "linearized binned likelihood unfolding",
a modified formalism that has a better scaling and allows to perform unfolding on even larger numbers of bins and nuisance parameters.

Primary author

Co-authors

Josh Bendavid (Massachusetts Inst. of Technology (US)) Matteo Defranchis (CERN)

Presentation materials