Seeing in Color: Jet Superstructure
arXiv:1001.5027 · doi:10.1103/PhysRevLett.105.022001
Abstract
A new class of observables is introduced which aims to characterize the superstructure of an event, that is, features, such as color flow, which are not determined by the jet four-momenta alone. Traditionally, an event is described as having jets which are independent objects; each jet has some energy, size, and possible substructure such as subjets or heavy flavor content. This description discards information connecting the jets to each other, which can be used to determine if the jets came from decay of a color singlet object, or if they were initiated by quarks or gluons. An example superstructure variable, pull, is presented as a simple handle on color flow. It can be used on an event-by-event basis as a tool for distinguishing previously irreducible backgrounds at the Tevatron and the LHC.
4 pages, 5 figures. Published version. Some clarifications and references added
References in corpus (7)
- PYTHIA 6.4 Physics and Manual
- Herwig++ Physics and Manual
- Jet substructure as a new Higgs search channel at the LHC
- Jet Trimming
- Top-tagging: A Method for Identifying Boosted Hadronic Tops
- A practical Seedless Infrared-Safe Cone jet algorithm
- Investigation of Colour Reconnection in WW Events with the DELPHI detector at LEP-2
Cited by in corpus (116)
- Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC
- Identifying Boosted Objects with N-subjettiness
- Soft Drop
- Towards an understanding of jet substructure
- Energy Correlation Functions for Jet Substructure
- Maximizing Boosted Top Identification by Minimizing N-subjettiness
- Boosted objects: a probe of beyond the Standard Model physics
- Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning
- Jet Substructure at the Tevatron and LHC: New results, new tools, new benchmarks
- Jet Substructure at the Large Hadron Collider: Experimental Review
- Jet-Images -- Deep Learning Edition
- Search for the standard model Higgs boson produced in association with a W or a Z boson and decaying to bottom quarks
- The Machine Learning Landscape of Top Taggers
- Search for invisible decays of Higgs bosons in the vector boson fusion and associated ZH production modes
- Quark and Gluon Tagging at the LHC
- Boosted objects and jet substructure at the LHC
- Jet-Images: Computer Vision Inspired Techniques for Jet Tagging
- Quark and Gluon Jet Substructure
- Parton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks
- Energy flow polynomials: A complete linear basis for jet substructure
- Finding physics signals with shower deconstruction
- Effects of color reconnection on final states at the LHC
- JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics
- Multivariate discrimination and the Higgs + W/Z search
- Template Overlap Method for Massive Jets
- Boosting with Machine Learning
- Jet Substructure Without Trees
- Search for a pseudoscalar boson decaying into a Z boson and the 125 GeV Higgs boson in llbb final states
- Precision Jet Substructure from Boosted Event Shapes
- THE TOOLS AND MONTE CARLO WORKING GROUP Summary Report from the Les Houches 2009 Workshop on TeV Colliders
- W-jet Tagging: Optimizing the Identification of Boosted Hadronically-Decaying W Bosons
- Physics at a 100 TeV pp collider: Higgs and EW symmetry breaking studies
- Search for the standard model Higgs boson produced through vector boson fusion and decaying to b bbar
- Heavy Higgs Bosons at 14 TeV and 100 TeV
- A robust anomaly finder based on autoencoders
- Qjets: A Non-Deterministic Approach to Tree-Based Jet Substructure
- Jet Cleansing: Pileup Removal at High Luminosity
- Jet Substructure Studies with CMS Open Data
- Resummation of Jet Mass at Hadron Colliders
- Jet Dipolarity: Top Tagging with Color Flow
- 1-loop matching and NNLL resummation for all partonic 2 to 2 processes in QCD
- Interpretable Deep Learning for Two-Prong Jet Classification with Jet Spectra
- Rest Frame Subjet Algorithm With SISCone Jet For Fully Hadronic Decaying Higgs Search
- Pure Samples of Quark and Gluon Jets at the LHC
- Measurement of electroweak production of two jets in association with a Z boson in proton-proton collisions at sqrt(s)= 8 TeV
- Non-global logarithms at finite Nc beyond leading order
- Search for dark matter in proton-proton collisions at 8 TeV with missing transverse momentum and vector boson tagged jets
- Jet Substructure and the Search for Neutral Spin-One Resonances in Electroweak Boson Channels
- Measurement of colour flow with the jet pull angle in events using the ATLAS detector at TeV
- Portraying Double Higgs at the Large Hadron Collider
- Resurrecting the Dead Cone
- Three-particle templates for boosted Higgs
- Neural Network-based Top Tagger with Two-Point Energy Correlations and Geometry of Soft Emissions
- Jet Substructure by Accident
- Unburied Higgs
- Distinguishing Di-jet Resonances at the LHC
- Towards the fate of natural composite Higgs model through single search at the 8 TeV LHC
- Ditau jets in Higgs searches
- Measurement of color flow in t-tbar events from p-pbar collisions at sqrt(s)=1.96 TeV
- Spectral Analysis of Jet Substructure with Neural Networks: Boosted Higgs Case
- Ditau-Jet Tagging and Boosted Higgses from a Multi-TeV Resonance
- Calculating the angle between jet axes
- Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics
- Measurement of colour flow using jet-pull observables in events with the ATLAS experiment at TeV
- Identifying the colour of TeV-scale resonances
- Investigating the Topology Dependence of Quark and Gluon Jets
- Heavy Higgs Bosons at Low : from the LHC to 100 TeV
- An Optimal Observable for Color Singlet Identification
- Boosted Multijet Resonances and New Color-Flow Variables
- Structure of Fat Jets at the Tevatron and Beyond
- Diboson-Jets and the Search for Resonant Zh Production
- Collinear Drop
- The dependency of boosted tagging algorithms on the event colour structure
- CMS PYTHIA 8 colour reconnection tunes based on underlying-event data
- The Color Discriminant Variable and Scalar Diquarks at the LHC
- A Lorentz-Equivariant Transformer for All of the LHC
- Telescoping Jets: Multiple Event Interpretations with Multiple R's
- A Framework for Finding Anomalous Objects at the LHC
- Deep Learning Jet Image as a Probe of Light Higgsino Dark Matter at the LHC
- SUSY Digs up a Buried Higgs
- Classification of Energy Flow Observables in Narrow Jets
- Theory Predictions for the Pull Angle
- Jet Sampling: Improving Event Reconstruction through Multiple Interpretations
- Resummation prediction on the jet mass spectrum in one-jet inclusive production at the LHC
- Jet energy drop
- Highly Boosted Higgs Bosons and Unitarity in Vector-Boson Fusion at Future Hadron Colliders
- Equivariant, Safe and Sensitive -- Graph Networks for New Physics
- On Statistical Aspects of Qjets
- Investigating the Quantum Properties of Jets and the Search for a Supersymmetric Top Quark Partner with the ATLAS Detector
- Learning Physics at Future Colliders with Machine
- Search for Mono-Higgs Signals in Final States Using Deep Neural Networks
- Climbing to the Top of the ATLAS 13 TeV data
- Multiple b-jets Reveal Top Super-partners and the 125 GeV Higgs
- Testing Naturalness
- Safe Use of Jet Pull
- Jet Classification Using High-Level Features from Anatomy of Top Jets
- Telescoping jet substructure
- Tracking the Identities of Boosted Particles
- A Cautionary Tale of Mis-measured Tails from Bias
- Top Quark Physics at the Tevatron
- Evolution variable dependence of jet substructure
- Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation
- Calculating Pull for Non-Singlet Jets
- Quantifying the power of multiple event interpretations
- Improving Heavy Dijet Resonance Searches Using Jet Substructure at the LHC
- Riemannian Data preprocessing in Machine Learning to focus on QCD color structure
- Top-philic Machine Learning
- Augmenting Collider Searches and Enhancing Discovery Potentials through Stochastic Jet Grooming
- The Standard Model from the LHC to future colliders: a contribution to the Workshop "What Next" of INFN
- Jet Physics from Static Charges in AdS
- Identifying the Quantum Properties of Hadronic Resonances using Machine Learning
- Tagging the Higgs boson decay to bottom quarks with colour-sensitive observables and the Lund jet plane
- Stable and Interpretable Jet Physics with IRC-Safe Equivariant Feature Extraction
- Energy Flow in Particle Collisions
- QCD resummation for high-p jet shapes at hadron colliders
- Nonperturbative factorization breaking and color entanglement effects in dihadron and direct photon-hadron angular correlations in and A collisions