5-7 May 2014
University of Pittsburgh
US/Eastern timezone

Optimized Model-Independent Searches Using Matrix Element Ranking

6 May 2014, 15:30
15m
Benedum Hall G29 (University of Pittsburgh)

Benedum Hall G29

University of Pittsburgh

Speaker

James Gainer (University of Florida (US))

Description

The Matrix Element Method (MEM) has become an important tool in experimental particle physics, as it provides optimal sensitivity in using data to distinguish between models that could explain that data. However, it has generally required some concrete model to describe the potential signal. Motivated by the possibility of surprises at the Large Hadron Collider (LHC), we develop a MEM-based method for determining the presence of new physics without assumptions about the signal process responsible for the new physics, using the “ranking” of background matrix elements.

Primary author

James Gainer (University of Florida (US))

Co-authors

Dipsikha Debnath (University of Florida) Konstantin Matchev (University of Florida (US))

Presentation Materials