May 29, 2018 to June 3, 2018
Hyatt Regency Indian Wells Conference Center
US/Pacific timezone

Mining the LHC Data for Anomalies

May 30, 2018, 5:50 PM
North Foyer | Ironwood Room (Hyatt Regency Indian Wells Conference Center)

North Foyer | Ironwood Room

Hyatt Regency Indian Wells Conference Center

44600 Indian Wells Lane, Indian Wells, CA 92210, USA


Angelo Monteux (UC Irvine)


We describe a novel, model-independent technique of "rectangular aggregations" for mining the LHC data for hints of new physics. A typical (CMS) search now has hundreds of signal regions, which can hide the presence of potentially interesting anomalies. Applying our technique to the two CMS jets+MET SUSY searches, we identify a set of previously overlooked $\sim3\sigma$ excesses, characterized by low jet multiplicity, zero $b$-jets, and low MET and HT. We discuss the presence of a bump in the similar ATLAS monojet search, and discuss a simplified model that provides an excellent combined fit to these excesses and discuss all additional constraints.
E-mail [email protected]

Primary author

Angelo Monteux (UC Irvine)

Presentation materials