Novel Jet Observables from Machine Learning
1 version
AL
Andrew J. Larkoski
hep-phhep-exnucl-thhep-thnucl-excs.LGcs.AIstat.ML
On Valency
published · living versionsJet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning
Systematics of quark/gluon tagging
Exposing the QCD Splitting Function with CMS Open Data
Towards an Understanding of the Correlations in Jet Substructure
Sudakov Safety in Perturbative QCD
Power Counting to Better Jet Observables
Soft Drop
Energy Correlation Functions for Jet Substructure
Regression on high-dimensional phase space
Preprints & journals
89 papers in the corpus · 2006–2026Collider event distances from the phase space sphere
0 citations
More QCD Masterclass Lectures on Jet Physics and Machine Learning
0 citations
Generative models on phase space
0 citations
Flavor-Changing Non-Global Logarithms
3 citations
Factorization for Collider Dataspace Correlators
1 citation
Non-Gaussianities in Collider Metric Binning
0 citations
A Step Toward Interpretability: Smearing the Likelihood
1 citation
Systematically Constructing the Likelihood for Boosted Decays
1 citation
Systematic Interpretability and the Likelihood for Boosted Top Quark Identification
3 citations
SPECTER: Efficient Evaluation of the Spectral EMD
5 citations
Analytical Insights on Hadronic Top Quark Polarimetry
7 citations
QCD Masterclass Lectures on Jet Physics and Machine Learning
12 citations
Hadronic Top Quark Polarimetry with ParticleNet
9 citations
The Phase Space Distance Between Collider Events
9 citations
Flavor Factorization at Two-Loops
2 citations
Flavor Fragmentation Function Factorization
0 citations
Binary Discrimination Through Next-to-Leading Order
5 citations
The Multiplicity Scaling of the Fragmentation Function
4 citations
Is infrared-collinear safe information all you need for jet classification?
7 citations
A Spectral Metric for Collider Geometry
10 citations
Towards a Nonperturbative Formulation of the Jet Charge.
15 citations
Jet SIFT-ing: a new scale-invariant jet clustering algorithm for the substructure era
3 citations
Designing Observables for Quantum Interference in Jets at Subleading Color
2 citations
Practical Jet Flavour Through NNLO
55 citations
A Fragmentation Approach to Jet Flavor
34 citations
A Challenge for Discrimination of Color-Singlet versus Color-Octet Quarkonium Production
0 citations
A General Analysis for Observing Quantum Interference at Colliders
17 citations
Jet Physics from the Ground Up
0 citations
Grooming at the Cusp: All-Orders Predictions for the Transition Region of Jet Groomers
10 citations
A Large- Expansion for Minimum Bias
4 citations
Another Unorthodox Introduction to QCD and now Machine Learning
0 citations
Covariantizing Phase Space
17 citations
Improving the Understanding of Jet Grooming in Perturbation Theory
14 citations
An Optimal Observable for Color Singlet Identification
24 citations
Les Houches 2019: Physics at TeV Colliders: Standard Model Working Group Report
184 citations
Two- and Three-Loop Data for Groomed Jet Mass
20 citations
Groomed jet mass at high precision
28 citations
Safe Use of Jet Pull
11 citations
Calculating Pull for Non-Singlet Jets
7 citations
Circumnavigating Collinear Superspace
0 citations
A Theory of Quark vs. Gluon Discrimination
48 citations
Theory Predictions for the Pull Angle
14 citations
Automating the Construction of Jet Observables with Machine Learning
39 citations
Navigating Collinear Superspace
0 citations
New Insights on an Old Problem: Resummation of the D-parameter
10 citations
Les Houches 2017: Physics at TeV Colliders Standard Model Working Group Report
45 citations
Novel Jet Observables from Machine Learning
88 citations
Factorization and Resummation for Groomed Multi-Prong Jet Shapes
33 citations
Exposing the QCD Splitting Function with CMS Open Data.
89 citations
An Unorthodox Introduction to QCD
5 citations
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