The Hidden Geometry of Particle Collisions
arXiv:2004.04159 · doi:10.1007/JHEP07(2020)006
Abstract
We establish that many fundamental concepts and techniques in quantum field theory and collider physics can be naturally understood and unified through a simple new geometric language. The idea is to equip the space of collider events with a metric, from which other geometric objects can be rigorously defined. Our analysis is based on the energy mover's distance, which quantifies the "work" required to rearrange one event into another. This metric, which operates purely at the level of observable energy flow information, allows for a clarified definition of infrared and collinear safety and related concepts. A number of well-known collider observables can be exactly cast as the minimum distance between an event and various manifolds in this space. Jet definitions, such as exclusive cone and sequential recombination algorithms, can be directly derived by finding the closest few-particle approximation to the event. Several area- and constituent-based pileup mitigation strategies are naturally expressed in this formalism as well. Finally, we lift our reasoning to develop a precise distance between theories, which are treated as collections of events weighted by cross sections. In all of these various cases, a better understanding of existing methods in our geometric language suggests interesting new ideas and generalizations.
arXiv comment56 pages, 11 figures, 5 tables; v2: minor changes and updated references; v3: updated to match JHEP version
References in corpus (87)
- The anti-k_t jet clustering algorithm
- FastJet user manual
- Machine learning and the physical sciences
- Successive Combination Jet Algorithm For Hadron Collisions
- Better Jet Clustering Algorithms
- Pileup subtraction using jet areas
- Identifying Boosted Objects with N-subjettiness
- Soft Drop
- The Catchment Area of Jets
- Conformal collider physics: Energy and charge correlations
- Towards an understanding of jet substructure
- N-Jettiness: An Inclusive Event Shape to Veto Jets
- Energy Correlation Functions for Jet Substructure
- Maximizing Boosted Top Identification by Minimizing N-subjettiness
- Pileup Per Particle Identification
- Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning
- Thrust at N^3LL with Power Corrections and a Precision Global Fit for alphas(mZ)
- Jet Substructure at the Large Hadron Collider: Experimental Review
- Principles of general final-state resummation and automated implementation
- A precise determination of alpha_s from LEP thrust data using effective field theory
- Searching for New Physics with Deep Autoencoders
- Jet Shapes and Jet Algorithms in SCET
- Power corrections to event shapes and factorization
- Factorization at the LHC: From PDFs to Initial State Jets
- Energy Flow Networks: Deep Sets for Particle Jets
- Event Shape/Energy Flow Correlations
- Power Counting to Better Jet Observables
- Higgs Production with a Central Jet Veto at NNLL+NNLO
- NNLO corrections to event shapes in annihilation
- Gaining (Mutual) Information about Quark/Gluon Discrimination
- A practical Seedless Infrared-Safe Cone jet algorithm
- Jet Shapes with the Broadening Axis
- Infrared safe definition of jet flavour
- Optimal Entropy-Transport problems and a new Hellinger-Kantorovich distance between positive measures
- Sudakov Safety in Perturbative QCD
- New Angles on Energy Correlation Functions
- Second-order QCD corrections to the thrust distribution
- Factorization of e+e- Event Shape Distributions with Hadronic Final States in Soft Collinear Effective Theory
- Pileup subtraction for jet shapes
- QCD or What?
- The Collinear Limit of the Energy-Energy Correlator
- Event shapes and jet rates in electron-positron annihilation at NNLO
- Combining Higher-Order Resummation with Multiple NLO Calculations and Parton Showers in GENEVA
- Novelty Detection Meets Collider Physics
- Drell-Yan Production at NNLL'+NNLO Matched to Parton Showers
- Factorization for groomed jet substructure beyond the next-to-leading logarithm
- Energy flow polynomials: A complete linear basis for jet substructure
- From correlation functions to event shapes
- On the QCD analysis of Jet Broadening
- Jets and Quantum Field Theory
- The Metric Space of Collider Events
- Pileup Mitigation with Machine Learning (PUMML)
- Jet Observables Without Jet Algorithms
- Infrared Safe but Infinite: Soft-Gluon Divergences Inside the Physical Region
- SoftKiller, a particle-level pileup removal method
- A study of the energy evolution of event shape distributions and their means with the DELPHI detector at LEP
- Energy-energy correlations in N=4 SYM
- Power Corrections to Event Shapes with Mass-Dependent Operators
- Matching Fully Differential NNLO Calculations and Parton Showers
- Jet Mass Spectra in Higgs + One Jet at NNLL
- A study of jet mass distributions with grooming
- Precision Thrust Cumulant Moments at N^3LL
- Energy flow in QCD and event shape functions
- Unsafe but Calculable: Ratios of Angularities in Perturbative QCD
- How Much Information is in a Jet?
- Particle-level pileup subtraction for jets and jet shapes
- Measuring Multijet Structure of Hadronic Energy Flow Or What IS A Jet?
- Novel Jet Observables from Machine Learning
- The jet mass distribution after Soft Drop
- KtJet: A C++ implementation of the Kt clustering algorithm
- Jet Cleansing: Pileup Removal at High Luminosity
- XCone: N-jettiness as an Exclusive Cone Jet Algorithm
- An -Matrix for Massless Particles
- Power Corrections and Nonlocal Operators
- Factorization for generic jet production
- A Theory of Quark vs. Gluon Discrimination
- Infrared Finiteness and Forward Scattering
- Nonperturbative Corrections to Soft Drop Jet Mass
- Pileup and Underlying Event Mitigation with Iterative Constituent Subtraction
- Sorting out quenched jets
- Information geometry in quantum field theory: lessons from simple examples
- Generalized Fragmentation Functions for Fractal Jet Observables
- Pileup mitigation at the LHC: a theorist's view
- A theory of jet definition
- On the use of charged-track information to subtract neutral pileup
- Optimally solving a transportation problem using Voronoi diagrams
- Separated at Birth: Jet Maximization, Axis Minimization, and Stable Cone Finding
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- Machine Learning for Anomaly Detection in Particle Physics
- Challenges for Unsupervised Anomaly Detection in Particle Physics
- Use of a Generalized Energy Mover's Distance in the Search for Rare Phenomena at Colliders
- Learning to Simulate High Energy Particle Collisions from Unlabeled Data
- Linearized Optimal Transport for Collider Events
- Topological Obstructions to Autoencoding
- Disentangling Quarks and Gluons with CMS Open Data
- What's Anomalous in LHC Jets?
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- Which Metric on the Space of Collider Events?
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- Quantum Annealing for Jet Clustering with Thrust
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- Invisible Higgs search through Vector Boson Fusion: A deep learning approach
- On heavy-flavour jets with Soft Drop
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- Towards a data-driven model of hadronization using normalizing flows
- Spheres To Jets: Tuning Event Shapes with 5d Simplified Models
- Local infrared safety in time-ordered perturbation theory
- Measurements of multijet event isotropies using optimal transport with the ATLAS detector
- Earth mover's distance as a measure of CP violation
- Pileup and Infrared Radiation Annihilation (PIRANHA): A Paradigm for Continuous Jet Grooming
- Safe but Incalculable: Energy-weighting is not all you need
- Foundations of automatic feature extraction at LHC--point clouds and graphs
- MACK: Mismodeling Addressed with Contrastive Knowledge
- Theory, phenomenology, and experimental avenues for dark showers: a Snowmass 2021 report
- Universal New Physics Latent Space
- A Field Guide to Event-Shape Observables Using Optimal Transport
- Stable and Interpretable Jet Physics with IRC-Safe Equivariant Feature Extraction