High Multiplicity Searches at the LHC Using Jet Masses
read the original abstract
This article introduces a new class of searches for physics beyond the Standard Model that improves the sensitivity to signals with high jet multiplicity. The proposed searches gain access to high multiplicity signals by reclustering events into large-radius, or "fat," jets and by requiring that each event has multiple massive jets. This technique is applied to supersymmetric scenarios in which gluinos are pair-produced and then subsequently decay to final states with either moderate quantities of missing energy or final states without missing energy. In each of these scenarios, the use of jet mass improves the estimated reach in gluino mass by 20 % to 50 % over current LHC searches.
This paper has not been read by Pith yet.
Forward citations
Cited by 2 Pith papers
-
Machine learning fully hadronic events with spectral functions
Spectral functions from two-point correlations serve as multiplicity-independent ML inputs and improve expected gluino mass reach by 150-250 GeV in a fully hadronic ttbar vs gluino benchmark.
-
Search for new physics using single-lepton events with high multiplicities of jets and b jets in proton-proton collisions at $\sqrt{s}$ = 13 TeV
No significant excess found in single-lepton high-multiplicity jet events; gluino masses below 1890 GeV excluded at 95% CL in R-parity violating SUSY model.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.