Tests for determining the parton ancestor of a hadron jet
|
journal
|
May 1989 |
Casimir Meets Poisson: Improved Quark/Gluon Discrimination with Counting Observables
|
text
|
January 2017 |
An operational definition of quark and gluon jets
|
journal
|
November 2018 |
QCD or what?
|
journal
|
January 2019 |
Jet shapes and jet algorithms in SCET
|
journal
|
November 2010 |
The anti- k t jet clustering algorithm
|
journal
|
April 2008 |
Weakly Supervised Classification in High Energy Physics
|
text
|
January 2017 |
On the Problem of the Most Efficient Tests of Statistical Hypotheses
|
journal
|
January 1933 |
Quark jet rates and quark-gluon discrimination in multijet final states
|
journal
|
June 2019 |
Cuba—a library for multidimensional numerical integration
|
journal
|
June 2005 |
Dichroic subjettiness ratios to distinguish colour flows in boosted boson tagging
|
journal
|
March 2017 |
Final state photon bremsstrahlung ine + e ??Z 0?hadrons as a tool for a precise measurement of the weak quark couplings
|
journal
|
March 1991 |
Jet Shapes and Jet Algorithms in SCET
|
text
|
January 2010 |
Energy flow networks: deep sets for particle jets
|
journal
|
January 2019 |
Systematics of quark/gluon tagging
|
text
|
January 2017 |
Power counting to better jet observables
|
journal
|
December 2014 |
Unsafe but calculable: ratios of angularities in perturbative QCD
|
journal
|
September 2013 |
PYTHIA 6.4 physics and manual
|
journal
|
May 2006 |
Pileup subtraction for jet shapes
|
text
|
January 2012 |
Deep learning in color: towards automated quark/gluon jet discrimination
|
journal
|
January 2017 |
Energy Correlation Functions for Jet Substructure
|
text
|
January 2013 |
Computing $N$-subjettiness for boosted jets
|
text
|
January 2018 |
Jet charge and machine learning
|
journal
|
October 2018 |
FastJet user manual: (for version 3.0.2)
|
journal
|
March 2012 |
A generic anti-QCD jet tagger
|
journal
|
November 2017 |
A parametrization of the properties of quark jets
|
journal
|
April 1978 |
Energy flow polynomials: A complete linear basis for jet substructure
|
text
|
January 2017 |
Energy flow polynomials: a complete linear basis for jet substructure
|
journal
|
April 2018 |
Measuring Multijet Structure of Hadronic Energy Flow or, What is a jet?
|
journal
|
December 1997 |
Toward multi-differential cross sections: measuring two angularities on a single jet
|
journal
|
September 2014 |
Systematics of quark/gluon tagging
|
journal
|
July 2017 |
Joint resummation of two angularities at next-to-next-to-leading logarithmic order
|
journal
|
October 2018 |
Jet Charge and Machine Learning
|
text
|
January 2018 |
Identifying boosted objects with N-subjettiness
|
journal
|
March 2011 |
Unsafe but Calculable: Ratios of Angularities in Perturbative QCD
|
text
|
January 2013 |
How to see the differences between quark and gluon jets
|
journal
|
March 1990 |
Infrared-safe definition of jet flavour
|
journal
|
May 2006 |
Recursive Neural Networks in Quark/Gluon Tagging
|
journal
|
June 2018 |
Identification of high-momentum top quarks, Higgs bosons, and and bosons using boosted event shapes
|
journal
|
November 2016 |
Associated jet and subjet rates in light-quark and gluon jet discrimination
|
text
|
January 2015 |
Jettiness: An Inclusive Event Shape to Veto Jets
|
journal
|
August 2010 |
A case study of quark-gluon discrimination at NNLL $$'$$ ′ in comparison to parton showers
|
journal
|
November 2017 |
Coherence effects in deep inelastic scattering
|
journal
|
December 1989 |
Extending the search for new resonances with machine learning
|
journal
|
January 2019 |
Computing N -subjettiness for boosted jets
|
journal
|
December 2018 |
Using neural networks to identify jets
|
journal
|
February 1991 |
Joint resummation of two angularities at next-to-next-to-leading logarithmic order
|
text
|
January 2018 |
Recursive Neural Networks in Quark/Gluon Tagging
|
text
|
January 2017 |
Learning to classify from impure samples with high-dimensional data
|
journal
|
July 2018 |
Gaining (mutual) information about quark/gluon discrimination
|
journal
|
November 2014 |
Quark jet versus gluon jet: fully-connected neural networks with high-level features
|
journal
|
June 2019 |
Associated jet and subjet rates in light-quark and gluon jet discrimination
|
journal
|
April 2015 |
Soft drop
|
journal
|
May 2014 |
Maximizing boosted top identification by minimizing N-subjettiness
|
journal
|
February 2012 |
Substructure of high- jets at the LHC
|
journal
|
April 2009 |
Building a better boosted top tagger
|
journal
|
February 2015 |
Energy Flow Networks: Deep Sets for Particle Jets
|
text
|
January 2018 |
Towards a systematic jet classification
|
journal
|
August 1990 |
Energy correlation functions for jet substructure
|
journal
|
June 2013 |
(Machine) learning to do more with less
|
journal
|
February 2018 |
Jet observables without jet algorithms
|
journal
|
April 2014 |
Classification without labels: learning from mixed samples in high energy physics
|
journal
|
October 2017 |
Maximizing Boosted Top Identification by Minimizing N-subjettiness
|
text
|
January 2011 |
New angles on energy correlation functions
|
journal
|
December 2016 |
Event shape–energy flow correlations
|
journal
|
July 2003 |
Calculating the charge of a jet
|
journal
|
November 2012 |
Measuring the Number of Hadronic Jets
|
journal
|
October 1994 |
Jet Topics: Disentangling Quarks and Gluons at Colliders
|
journal
|
June 2018 |
How to tell quark jets from gluon jets
|
journal
|
October 1991 |
Quark-gluon separation in three-jet events
|
journal
|
May 1981 |
Factorization for groomed jet substructure beyond the next-to-leading logarithm
|
journal
|
July 2016 |
Quark-gluon tagging: Machine learning vs detector
|
journal
|
January 2019 |
Weakly supervised classification in high energy physics
|
journal
|
May 2017 |
Anomaly Detection for Resonant New Physics with Machine Learning
|
journal
|
December 2018 |
Resummation of double-differential cross sections and fully-unintegrated parton distribution functions
|
journal
|
February 2015 |
Jet Charge at the LHC
|
journal
|
May 2013 |
A Case Study of Quark-Gluon Discrimination at NNLL$'$ in Comparison to Parton Showers
|
text
|
January 2017 |
Pure samples of quark and gluon jets at the LHC
|
journal
|
October 2011 |
Novel jet observables from machine learning
|
journal
|
March 2018 |
Jet shapes with the broadening axis
|
journal
|
April 2014 |
Photon isolation and jet substructure
|
journal
|
September 2018 |
Quark and Gluon Tagging at the LHC
|
text
|
January 2011 |
An introduction to PYTHIA 8.2
|
journal
|
June 2015 |
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
|
conference
|
December 2015 |
Casimir meets Poisson: improved quark/gluon discrimination with counting observables
|
journal
|
September 2017 |
Pileup Subtraction for Jet Shapes
|
journal
|
April 2013 |
Quark and Gluon Tagging at the LHC
|
journal
|
October 2011 |
Fractal based observables to probe jet substructure of quarks and gluons
|
journal
|
April 2018 |
How much information is in a jet?
|
journal
|
June 2017 |
"Table 1" of "Measurement of charge asymmetry in hadronic Z decays"
|
dataset
|
January 1991 |
Calculating the Charge of a Jet
|
text
|
January 2012 |
A case study of quark-gluon discrimination at NNLL' in comparison to parton showers
|
text
|
January 2017 |
An operational definition of quark and gluon jets
|
text
|
January 2018 |
Event Shape/Energy Flow Correlations
|
text
|
January 2003 |