Recursive Soft Drop

Abstract

We introduce a new jet substructure technique called Recursive Soft Drop, which generalizes the Soft Drop algorithm to have multiple grooming layers. Like the original Soft Drop method, this new recursive variant traverses a jet clustering tree to remove soft wide-angle contamination. By enforcing the Soft Drop condition N times, Recursive Soft Drop improves the jet mass resolution for boosted hadronic objects like W bosons, top quarks, and Higgs bosons. We further show that this improvement in mass resolution persists when including the effects of pileup, up to large pileup multiplicities. In the limit that N goes to infinity, the resulting groomed jets formally have zero catchment area. As an alternative approach, we present a bottom-up version of Recursive Soft Drop which, in its local form, is similar to Recursive Soft Drop and which, in its global form, can be used to perform event-wide grooming.

20+14 pages, 17 figures, v2 updated to match published version

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• Resummation of Double-Differential Cross Sections and Fully-Unintegrated Parton Distribution Functions
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• Precision Jet Substructure from Boosted Event Shapes
• A measurement of the soft-drop jet mass in pp collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
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Cited by in corpus (37)

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• Dynamical grooming of QCD jets
• Lund jet images from generative and cycle-consistent adversarial networks
• Jet Angularities in Z+jet production at the LHC
• Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton-proton collisions
• Practical Jet Flavour Through NNLO
• Mass Unspecific Supervised Tagging (MUST) for boosted jets
• Pileup and Underlying Event Mitigation with Iterative Constituent Subtraction
• Neural Network-based Top Tagger with Two-Point Energy Correlations and Geometry of Soft Emissions
• Soft-drop grooming for hadronic event shapes
• Pileup mitigation at the LHC: a theorist's view
• Anomaly detection from mass unspecific jet tagging
• Jet grooming through reinforcement learning
• Detecting a Boosted Diboson Resonance
• Dynamic Radius Jet Clustering Algorithm
• Towards massless and massive event shapes in the large-${\beta }_0$ limit
• Taming modeling uncertainties with Mass Unspecific Supervised Tagging
• Tagging boosted hadronic objects with dynamical grooming
• Revisiting the role of grooming in DIS
• Photon isolation and jet substructure
• Probing hadronization with flavor correlations of leading particles in jets
• Jet energy drop
• Jet tagging made easy
• Top tagging : an analytical perspective
• Jet evolution in a dense QCD medium
• Aspects of Track-Assisted Mass
• Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis
• Studies of granularity of a hadronic calorimeter for tens-of-TeV jets at a 100 TeV $pp$ collider
• The Catchment Area of Groomed Jets at NNLL
• Comparative Analysis of Jet and Underlying Event Properties Across Various Models as a Function of Charged Particle Multiplicity at 7 TeV
• Jet SIFT-ing: a new scale-invariant jet clustering algorithm for the substructure era
• Prospects for a measurement of the $W$ boson mass in the all-jets final state at hadron colliders
• Dynamical grooming at work: from p+p to Pb+Pb
• Exotic diboson $Z^{\prime }$ decays in the U$\mu \nu$SSM
• An approach to constraining the Higgs width at the LHC and HL-LHC
• Pulling the Higgs and Top needles from the jet stack with Feature Extended Supervised Tagging
• Heavy Particle Jet Identification with Zest