(Re)interpreting LHC new physics search results: tools and methods

Recasting analyses that use machine learning -- Case study: CMS-SUS-16-050

18 Oct 2017, 17:00

10m

Ramsey Auditorium (Fermilab)

Speaker

Nadja Strobbe (Fermi National Accelerator Lab. (US))

Description

Quick overview of information available to recast CMS-SUS-16-050, a search for SUSY with top tagging. The top tagger is partially MVA based and code/instructions to run this top tagger is provided on the public webpage.

Presentation materials

RecastingCMS-SUS-16-050.pdf