Thinking outside the ROCs: Designing Decorrelated Taggers (DDT) for jet substructure

Abstract

We explore the scale-dependence and correlations of jet substructure observables to improve upon existing techniques in the identification of highly Lorentz-boosted objects. Modified observables are designed to remove correlations from existing theoretically well-understood observables, providing practical advantages for experimental measurements and searches for new phenomena. We study such observables in $W$ jet tagging and provide recommendations for observables based on considerations beyond signal and background efficiencies.

References in corpus (29)

• The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
• The anti-k_t jet clustering algorithm
• A Brief Introduction to PYTHIA 8.1
• FastJet user manual
• Estimating Mutual Information
• Dispelling the N^3 myth for the Kt jet-finder
• Jet substructure as a new Higgs search channel at the LHC
• Soft Drop
• Jet Trimming
• Towards an understanding of jet substructure
• General-purpose event generators for LHC physics
• Top-tagging: A Method for Identifying Boosted Hadronic Tops
• Maximizing Boosted Top Identification by Minimizing N-subjettiness
• Boosted objects: a probe of beyond the Standard Model physics
• Jet Substructure at the Tevatron and LHC: New results, new tools, new benchmarks
• Power Counting to Better Jet Observables
• Gaining (Mutual) Information about Quark/Gluon Discrimination
• Boosted objects and jet substructure at the LHC
• Jet-Images: Computer Vision Inspired Techniques for Jet Tagging
• Jet substructure with analytical methods
• Search for Higgs boson pair production in the $b\bar{b}b\bar{b}$ final state from $pp$ collisions at $\sqrt{s}=8$ TeV with the ATLAS detector
• Identification of boosted, hadronically decaying W bosons and comparisons with ATLAS data taken at $\sqrt{s}=8$ TeV
• Precision Jet Substructure from Boosted Event Shapes
• Toward Multi-Differential Cross Sections: Measuring Two Angularities on a Single Jet
• Search for narrow high-mass resonances in proton-proton collisions at sqrt(s) = 8 TeV decaying to a Z and a Higgs boson
• On jet substructure methods for signal jets
• Search for heavy resonances in the W/Z-tagged dijet mass spectrum in pp collisions at 7 TeV
• Jet shapes for boosted jet two-prong decays from first-principles
• New approaches for boosting to uniformity

Cited by in corpus (79)

• Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning
• Anomaly Detection with Density Estimation
• Jet Substructure at the Large Hadron Collider: Experimental Review
• Anomaly Detection for Resonant New Physics with Machine Learning
• Extending the Bump Hunt with Machine Learning
• New Angles on Energy Correlation Functions
• A generic anti-QCD jet tagger
• QCD or What?
• Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
• Simulation Assisted Likelihood-free Anomaly Detection
• What is the Machine Learning?
• Parton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks
• Dijet resonance search with weak supervision using $\sqrt{s}=13$ TeV $pp$ collisions in the ATLAS detector
• The Lund Jet Plane
• Decorrelated Jet Substructure Tagging using Adversarial Neural Networks
• Tag N' Train: A Technique to Train Improved Classifiers on Unlabeled Data
• Search for low mass vector resonances decaying into quark-antiquark pairs in proton-proton collisions at sqrt(s) = 13 TeV
• Inclusive search for a highly boosted Higgs boson decaying to a bottom quark-antiquark pair
• Boosting $H\to b\bar{b}$ with Machine Learning
• Simulation-Assisted Decorrelation for Resonant Anomaly Detection
• DisCo Fever: Robust Networks Through Distance Correlation
• Interaction networks for the identification of boosted $H\to b\overline{b}$ decays
• Bump Hunting in Latent Space
• Exploring the Space of Jets with CMS Open Data
• ABCDisCo: Automating the ABCD Method with Machine Learning
• A guide for deploying Deep Learning in LHC searches: How to achieve optimality and account for uncertainty
• Uncertainty Aware Learning for High Energy Physics
• Quasi Anomalous Knowledge: Searching for new physics with embedded knowledge
• Unsupervised clustering for collider physics
• Search for dark matter produced in association with a Higgs boson decaying to a pair of bottom quarks in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• Online-compatible Unsupervised Non-resonant Anomaly Detection
• Review of searches for vector-like quarks, vector-like leptons, and heavy neutral leptons in proton-proton collisions at $\sqrt{s}$ = 13 TeV at the CMS experiment
• Mass Unspecific Supervised Tagging (MUST) for boosted jets
• Equivariant Energy Flow Networks for Jet Tagging
• Search for low mass vector resonances decaying to quark-antiquark pairs in proton-proton collisions at sqrt(s) = 13 TeV
• A multi-dimensional search for new heavy resonances decaying to boosted WW, WZ, or ZZ boson pairs in the dijet final state at 13 TeV
• Dichroic subjettiness ratios to distinguish colour flows in boosted boson tagging
• Search for low mass vector resonances decaying into quark-antiquark pairs in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• Search for low-mass resonances decaying into bottom quark-antiquark pairs in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• Inclusive search for highly boosted Higgs bosons decaying to bottom quark-antiquark pairs in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• Convolved Substructure: Analytically Decorrelating Jet Substructure Observables
• Mass Agnostic Jet Taggers
• Disentangling Heavy Flavor at Colliders
• Factorization and Resummation for Groomed Multi-Prong Jet Shapes
• A Cautionary Tale of Decorrelating Theory Uncertainties
• Computing $N$-subjettiness for boosted jets
• Search for low-mass quark-antiquark resonances produced in association with a photon at $\sqrt{s}=$ 13 TeV
• Dedicated Strategies for Triboson Signals from Cascade Decays of Vector Resonances
• Search for single production of a vector-like T quark decaying to a top quark and a Z boson in the final state with jets and missing transverse momentum at $\sqrt{s}=$ 13 TeV
• Enriching the physics program of the CMS experiment via data scouting and data parking
• Search for heavy resonances decaying to WW, WZ, or WH boson pairs in a final state consisting of a lepton and a large-radius jet in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• HHH Whitepaper
• The importance of calorimetry for highly-boosted jet substructure
• Searches for Higgs boson production through decays of heavy resonances
• Enhancing searches for resonances with machine learning and moment decomposition
• Dijet and electroweak limits on a $Z^{\prime }$ boson coupled to quarks
• Search for high-mass exclusive $\gamma \gamma$ $\to$ WW and $\gamma \gamma$ $\to$ ZZ production in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Jet tagging made easy
• Search for Higgs boson and observation of Z boson through their decay into a charm quark-antiquark pair in boosted topologies in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Bias and Priors in Machine Learning Calibrations for High Energy Physics
• Meta-learning and data augmentation for mass-generalised jet taggers
• Searches for pair-produced multijet resonances using data scouting in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging
• Measurement of boosted Higgs bosons produced via vector boson fusion or gluon fusion in the H $\to$ $\mathrm{b}\bar{\mathrm{b}}$ decay mode using LHC proton-proton collision data at $\sqrt{s}$ = 13 TeV
• Running bumps from stealth bosons
• Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation
• PAIReD jet: A multi-pronged resonance tagging strategy across all Lorentz boosts
• Search for pair production of heavy particles decaying to a top quark and a gluon in the lepton+jets final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Observation of the Singly Cabibbo-Suppressed Decay ${\Lambda }_c^{+}\to p{\pi }^0$
• Designing Observables for Measurements with Deep Learning
• Prospects for sub-EW-scale ALP searches via $\gamma +b\bar{b}$ signatures at the LHC using jet substructure techniques
• Searching for New Physics in Hadronic Final States with Run 2 Proton-Proton Collision Data at the LHC
• Prospects for a measurement of the $W$ boson mass in the all-jets final state at hadron colliders
• Search for a heavy resonance decaying into a Z and a Higgs boson in events with an energetic jet and two electrons, two muons, or missing transverse momentum in proton-proton collisions at $\sqrt{s}$ = 13 TeV
• Measurement of the jet mass in hadronic decays of boosted W bosons at 13 TeV and extraction of the W boson mass
• Searching for diboson resonances in the boosted all-hadronic final state at $\sqrt{\mathrm{s}}=13$ TeV with CMS
• Heavy Particle Jet Identification with Zest
• Tagging the Higgs boson decay to bottom quarks with colour-sensitive observables and the Lund jet plane
• Search for the radiative leptonic decay $D^{+}\to \gamma e^{+}{\nu }_e$ using Deep Learning