A simulation study projects up to 5.4 sigma discovery significance for scalar leptoquarks at the HL-LHC and up to 3.2 sigma separation between the S3 and R2 models using a BDT score.
Improving Heavy Dijet Resonance Searches Using Jet Substructure at the LHC
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abstract
The search for new physics at high energy accelerators has been at the crossroads with very little hint of signals suggesting otherwise. The challenges at a hadronic machine such as the LHC is compounded by the fact that final states are swamped with jets which one needs to understand and unravel. A positive step in this direction would be to separate the jets in terms of their gluonic and quark identities, much in a similar spirit of distinguishing heavy quark jets from light quark jets that has helped in improving searches for both neutral and charged Higgs bosons at the LHC. In this work, we utilise this information using the jet substructure techniques to comment on possible improvements in sensitivity as well as discrimination of new resonances in the all hadronic mode that would be crucial in pinning down new physics signals at HL-LHC, HE-LHC and any future 100 TeV hadron collider.
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Jet Substructure Probe on Scalar Leptoquark Models via Top Polarization
A simulation study projects up to 5.4 sigma discovery significance for scalar leptoquarks at the HL-LHC and up to 3.2 sigma separation between the S3 and R2 models using a BDT score.