Quark and Gluon Jet Substructure
arXiv:1211.7038 · doi:10.1007/JHEP04(2013)090
Abstract
Distinguishing quark-initiated jets from gluon-initiated jets has the potential to significantly improve the reach of many beyond-the-standard model searches at the Large Hadron Collider and to provide additional tests of QCD. To explore whether quark and gluon jets could possibly be distinguished on an event-by-event basis, we perform a comprehensive simulation-based study. We explore a variety of motivated and unmotivated variables with a semi-automated multivariate approach. General conclusions are that at 50% quark jet acceptance efficiency, around 80%-90% of gluon jets can be rejected. Some benefit is gained by combining variables. Different event generators are compared, as are the effects of using only charged tracks to avoid pileup. Additional information, including interactive distributions of most variables and their cut efficiencies, can be at http://jets.physics.harvard.edu/qvg.
45 pages, 28 figures
References in corpus (6)
- Herwig++ Physics and Manual
- Jet energy measurement with the ATLAS detector in proton-proton collisions at sqrt(s) = 7 TeV
- Multivariate discrimination and the Higgs + W/Z search
- On jet mass distributions in Z+jet and dijet processes at the LHC
- Precision Jet Substructure from Boosted Event Shapes
- Gluon- and Quark-Jet Multiplicities with NNNLO and NNLL Accuracy
Cited by in corpus (98)
- Soft Drop
- ParticleNet: Jet Tagging via Particle Clouds
- Energy Correlation Functions for Jet Substructure
- Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning
- Classification without labels: Learning from mixed samples in high energy physics
- Deep learning in color: towards automated quark/gluon jet discrimination
- Energy Flow Networks: Deep Sets for Particle Jets
- Power Counting to Better Jet Observables
- A Hybrid Strong/Weak Coupling Approach to Jet Quenching
- Gaining (Mutual) Information about Quark/Gluon Discrimination
- Jet Shapes with the Broadening Axis
- New Angles on Energy Correlation Functions
- Systematics of quark/gluon tagging
- Small-radius jets to all orders in QCD
- Energy flow polynomials: A complete linear basis for jet substructure
- Towards the understanding of jet shapes and cross sections in heavy ion collisions using soft-collinear effective theory
- Learning to Classify from Impure Samples with High-Dimensional Data
- On the Topic of Jets: Disentangling Quarks and Gluons at Colliders
- Casimir Meets Poisson: Improved Quark/Gluon Discrimination with Counting Observables
- How Much Information is in a Jet?
- Identification of boosted, hadronically decaying W bosons and comparisons with ATLAS data taken at TeV
- Recursive Neural Networks in Quark/Gluon Tagging
- Jet Charge and Machine Learning
- Tagging a jet from a dark sector with Jet-substructures at colliders
- Jet Cleansing: Pileup Removal at High Luminosity
- Jet Substructure Studies with CMS Open Data
- Quark-Gluon Tagging: Machine Learning vs Detector
- An operational definition of quark and gluon jets
- Deep-Learning Jets with Uncertainties and More
- Associated jet and subjet rates in light-quark and gluon jet discrimination
- Autoencoders for Semivisible Jet Detection
- Strong Signatures of Right-Handed Compositeness
- A Theory of Quark vs. Gluon Discrimination
- Equivariant Energy Flow Networks for Jet Tagging
- Per-Object Systematics using Deep-Learned Calibration
- Jet Shape Resummation Using Soft-Collinear Effective Theory
- Dichroic subjettiness ratios to distinguish colour flows in boosted boson tagging
- Search for resonant production of strongly coupled dark matter in proton-proton collisions at 13 TeV
- Jet Substructure from Dark Sector Showers
- Jet angularity measurements for single inclusive jet production
- Properties of jet fragmentation using charged particles measured with the ATLAS detector in collisions at TeV
- Binary JUNIPR: an interpretable probabilistic model for discrimination
- Neural Network-based Top Tagger with Two-Point Energy Correlations and Geometry of Soft Emissions
- Quark-gluon discrimination in the search for gluino pair production at the LHC
- Generalized Fragmentation Functions for Fractal Jet Observables
- A case study of quark-gluon discrimination at NNLL' in comparison to parton showers
- The Complete Two-Loop Integrated Jet Thrust Distribution In Soft-Collinear Effective Theory
- Explainable Equivariant Neural Networks for Particle Physics: PELICAN
- Machine Learning in High Energy Physics: A review of heavy-flavor jet tagging at the LHC
- Investigating the Topology Dependence of Quark and Gluon Jets
- Combine and Conquer: Event Reconstruction with Bayesian Ensemble Neural Networks
- CapsNets Continuing the Convolutional Quest
- The importance of calorimetry for highly-boosted jet substructure
- Collinear Drop
- Reconstructing boosted Higgs jets from event image segmentation
- Jet tagging algorithm of graph network with HaarPooling message passing
- Fractal based observables to probe jet substructure of quarks and gluons
- Resolving Extreme Jet Substructure
- Invariant Jet Mass Measurements in Collisions at GeV at RHIC
- Jet Quenching at LHC
- A Framework for Finding Anomalous Objects at the LHC
- Deep Learning Jet Image as a Probe of Light Higgsino Dark Matter at the LHC
- Distinguishing b-quark and gluon jets with a tagged b-hadron
- In-medium jet shape from energy collimation in parton showers: Comparison with CMS PbPb data at 2.76 TeV
- Digging for Top Squarks from Higgs data: from signal strengths to differential distributions
- Dynamic Radius Jet Clustering Algorithm
- Jet Sampling: Improving Event Reconstruction through Multiple Interpretations
- Jet Tagging with More-Interaction Particle Transformer
- Identifying dark matter interactions in monojet searches
- CALPAGAN: Calorimetry for Particles using GANs
- Pure Quark and Gluon Observables in Collinear Drop
- Quark jet rates and quark/gluon discrimination in multi-jet final states
- On Statistical Aspects of Qjets
- Resummation of Jet Shapes and Extracting Properties of the Quark-Gluon Plasma
- Comparing Point Cloud Strategies for Collider Event Classification
- Constraining compressed versions of MUED and MSSM using soft tracks at the LHC
- Pileup and Infrared Radiation Annihilation (PIRANHA): A Paradigm for Continuous Jet Grooming
- The top threshold effect in the production at the LHC
- Chasing New Physics in Stacks of Soft Tracks
- Machine learning technique to improve anti-neutrino detection efficiency for the ISMRAN experiment
- Jet-associated resonance spectroscopy
- Improving the measurement of the Higgs boson-gluon coupling using convolutional neural networks at colliders
- Non-Global Correlations in Collider Physics
- Accessing CKM suppressed top decays at the LHC
- Evolution variable dependence of jet substructure
- Interplay of ALP Couplings at a Muon Collider
- A Cautionary Tale of Mis-measured Tails from Bias
- Riemannian Data preprocessing in Machine Learning to focus on QCD color structure
- Top-Tagging at the Energy Frontier
- Improving Heavy Dijet Resonance Searches Using Jet Substructure at the LHC
- Top-philic Machine Learning
- Augmenting Collider Searches and Enhancing Discovery Potentials through Stochastic Jet Grooming
- Jet Radiation Radius
- Performance and calibration of quark/gluon-jet taggers using 140 fb of collisions at TeV with the ATLAS detector
- The Physics Behind ML-based Quark-Gluon Taggers
- Degeneracy Engineering for Classical and Quantum Annealing: A Case Study of Sparse Linear Regression in Collider Physics
- Power Counting Energy Flow Polynomials
- Application of Deep Learning to Jet Charge Discrimination