Speaker
Kehang Bai
(University of Oregon (US))
Description
Searching for non-resonant signals at the LHC is a relatively underexplored, yet challenging approach to discover new physics. These signals could arise from off-shell effects or final states with significant missing energy. This talk explores the potential of using weakly supervised anomaly detection to identify new non-resonant phenomena at the LHC. Our approach extends existing resonant anomaly detection methods from background interpolation to extrapolation. We use semi-visible jets, a type of signature predicted by dark QCD models, as a benchmark to test the sensitivity of the proposed methods.
Author
Kehang Bai
(University of Oregon (US))
Co-authors
Ben Nachman
(Lawrence Berkeley National Lab. (US))
Radha Mastandrea
(University of California, Berkeley)
