Jet Substructure Templates: Data-driven QCD Backgrounds for Fat Jet Searches

Abstract

QCD is often the dominant background to new physics searches for which jet substructure provides a useful handle. Due to the challenges associated with modeling this background, data-driven approaches are necessary. This paper presents a novel method for determining QCD predictions using templates -- probability distribution functions for jet substructure properties as a function of kinematic inputs. Templates can be extracted from a control region and then used to compute background distributions in the signal region. Using Monte Carlo, we illustrate the procedure with two case studies and show that the template approach effectively models the relevant QCD background. This work strongly motivates the application of these techniques to LHC data.

v2: 24 pages plus appendices, 11 figures, journal version

References in corpus (19)

• Event generation with SHERPA 1.1
• Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions
• Jet substructure as a new Higgs search channel at the LHC
• Top-tagging: A Method for Identifying Boosted Hadronic Tops
• Jet substructure as a new Higgs search channel at the LHC
• Boosted objects: a probe of beyond the Standard Model physics
• Assault on the NLO Wishlist: pp -> tt bb
• NLO QCD corrections to pp -> t anti-t b anti-b + X at the LHC
• Boosted objects and jet substructure at the LHC
• Automating the POWHEG method in Sherpa
• Jet substructure with analytical methods
• Searches for new physics using the ttbar invariant mass distribution in pp collisions at sqrt(s)=8 TeV
• On jet mass distributions in Z+jet and dijet processes at the LHC
• Unsafe but Calculable: Ratios of Angularities in Perturbative QCD
• Precision Jet Substructure from Boosted Event Shapes
• W-jet Tagging: Optimizing the Identification of Boosted Hadronically-Decaying W Bosons
• Non-Global Logarithms in Filtered Jet Algorithms
• Pulling Out All the Stops: Searching for RPV SUSY with Stop-Jets
• NLO QCD corrections to pp->WW+jet+X

Cited by in corpus (7)

• Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning
• Search for massive supersymmetric particles decaying to many jets using the ATLAS detector in $pp$ collisions at $\sqrt{s}=8$ TeV
• Search for R-parity-violating supersymmetric particles in multi-jet final states produced in $p$-$p$ collisions at $\sqrt{s}=13$ TeV using the ATLAS detector at the LHC
• Deep learning for the R-parity violating supersymmetry searches at the LHC
• Machine Learning Templates for QCD Factorization in the Search for Physics Beyond the Standard Model
• Dissecting Jets and Missing Energy Searches Using $n$-body Extended Simplified Models
• Quark jet rates and quark/gluon discrimination in multi-jet final states