Related references
Note: Only part of the references are listed.An efficient Lorentz equivariant graph neural network for jet tagging
Shiqi Gong et al.
JOURNAL OF HIGH ENERGY PHYSICS (2022)
Combined SMEFT interpretation of Higgs, diboson, and top quark data from the LHC
Jacob J. Ethier et al.
JOURNAL OF HIGH ENERGY PHYSICS (2021)
Simplified fast detector simulation in MADANALYSIS 5
Jack Y. Araz et al.
EUROPEAN PHYSICAL JOURNAL C (2021)
Top, Higgs, diboson and electroweak fit to the Standard Model effective field theory
John Ellis et al.
JOURNAL OF HIGH ENERGY PHYSICS (2021)
Combine and conquer: event reconstruction with Bayesian Ensemble Neural Networks
Jack Y. Araz et al.
JOURNAL OF HIGH ENERGY PHYSICS (2021)
Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning
Andrew J. Larkoski et al.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS (2020)
O new physics, where art thou? A global search in the top sector
Ilaria Brivio et al.
JOURNAL OF HIGH ENERGY PHYSICS (2020)
Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
A. M. Sirunyan et al.
JOURNAL OF INSTRUMENTATION (2020)
Robust Independent Validation of Experiment and Theory: RIVET version 3
Christian Bierlich et al.
SCIPOST PHYSICS (2020)
Fast simulation of detector effects in RIVET
Andy Buckley et al.
SCIPOST PHYSICS (2020)
Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC
M. Aaboud et al.
EUROPEAN PHYSICAL JOURNAL C (2019)
A Monte Carlo global analysis of the Standard Model Effective Field Theory: the top quark sector
Nathan P. Hartland et al.
JOURNAL OF HIGH ENERGY PHYSICS (2019)
Jet substructure at the Large Hadron Collider
Roman Kogler et al.
REVIEWS OF MODERN PHYSICS (2019)
The Machine Learning landscape of top taggers
Gregor Kasieczka et al.
SCIPOST PHYSICS (2019)
Confronting new physics theories to LHC data with MADANALYSIS 5
Eric Conte et al.
INTERNATIONAL JOURNAL OF MODERN PHYSICS A (2018)
Pulling out all the tops with computer vision and deep learning
Sebastian Macaluso et al.
JOURNAL OF HIGH ENERGY PHYSICS (2018)
2, 84, 30, 993, 560, 15456, 11962, 261485, ...: higher dimension operators in the SM EFT
Brian Henning et al.
JOURNAL OF HIGH ENERGY PHYSICS (2017)
Deep-learning top taggers or the end of QCD
Gregor Kasieczka et al.
JOURNAL OF HIGH ENERGY PHYSICS (2017)
Giving top quark effective operators a boost
Christoph Englert et al.
PHYSICS LETTERS B (2016)
Constraining top quark effective theory in the LHC Run II era
Andy Buckley et al.
JOURNAL OF HIGH ENERGY PHYSICS (2016)
Jet-images - deep learning edition
Luke de Oliveira et al.
JOURNAL OF HIGH ENERGY PHYSICS (2016)
Jet substructure classification in high-energy physics with deep neural networks
Pierre Baldi et al.
PHYSICAL REVIEW D (2016)
An introduction to PYTHIA 8.2
Torbjorn Sjostrand et al.
COMPUTER PHYSICS COMMUNICATIONS (2015)
LHAPDF6: parton density access in the LHC precision era
Andy Buckley et al.
EUROPEAN PHYSICAL JOURNAL C (2015)
Pinning down top dipole moments with ultraboosted tops
Juan A. Aguilar-Saavedra et al.
PHYSICAL REVIEW D (2015)
On statistical aspects of Qjets
Stephen D. Ellis et al.
JOURNAL OF HIGH ENERGY PHYSICS (2015)
Resonance searches with an updated top tagger
Gregor Kasieczka et al.
JOURNAL OF HIGH ENERGY PHYSICS (2015)
Jet-images: computer vision inspired techniques for jet tagging
Josh Cogan et al.
JOURNAL OF HIGH ENERGY PHYSICS (2015)
Playing tag with ANN: boosted top identification with pattern recognition
Leandro G. Almeida et al.
JOURNAL OF HIGH ENERGY PHYSICS (2015)
Parton distributions for the LHC run II
Richard D. Ball et al.
JOURNAL OF HIGH ENERGY PHYSICS (2015)
FEYNRULES 2.0-A complete toolbox for tree-level phenomenology
Adam Alloul et al.
COMPUTER PHYSICS COMMUNICATIONS (2014)
Designing and recasting LHC analyses with MADANALYSIS 5
Eric Conte et al.
EUROPEAN PHYSICAL JOURNAL C (2014)
Telescoping jets: Probing hadronic event structure with multiple R's
Yang-Ting Chien
PHYSICAL REVIEW D (2014)
Power counting to better jet observables
Andrew J. Larkoski et al.
JOURNAL OF HIGH ENERGY PHYSICS (2014)
The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
J. Alwall et al.
JOURNAL OF HIGH ENERGY PHYSICS (2014)
MADANALYSIS 5, a user-friendly framework for collider phenomenology
Eric Conte et al.
COMPUTER PHYSICS COMMUNICATIONS (2013)
Rivet user manual
Andy Buckley et al.
COMPUTER PHYSICS COMMUNICATIONS (2013)
Finding top quarks with shower deconstruction
Davison E. Soper et al.
PHYSICAL REVIEW D (2013)
Energy correlation functions for jet substructure
Andrew J. Larkoski et al.
JOURNAL OF HIGH ENERGY PHYSICS (2013)
Towards an understanding of jet substructure
Mrinal Dasgupta et al.
JOURNAL OF HIGH ENERGY PHYSICS (2013)
UFO - The Universal FEYNRULES Output
Celine Degrande et al.
COMPUTER PHYSICS COMMUNICATIONS (2012)
FastJet user manual
Matteo Cacciari et al.
EUROPEAN PHYSICAL JOURNAL C (2012)
Maximizing boosted top identification by minimizing N-subjettiness
Jesse Thaler et al.
JOURNAL OF HIGH ENERGY PHYSICS (2012)
A comprehensive approach to new physics simulations
Neil Christensen et al.
EUROPEAN PHYSICAL JOURNAL C (2011)
Boosted objects: a probe of beyond the standard model physics
A. Abdesselam et al.
EUROPEAN PHYSICAL JOURNAL C (2011)
Identifying boosted objects with N-subjettiness
Jesse Thaler et al.
JOURNAL OF HIGH ENERGY PHYSICS (2011)
Recombination algorithms and jet substructure: Pruning as a tool for heavy particle searches
Stephen D. Ellis et al.
PHYSICAL REVIEW D (2010)
Jet trimming
David Krohn et al.
JOURNAL OF HIGH ENERGY PHYSICS (2010)
Stop reconstruction with tagged tops
Tilman Plehn et al.
JOURNAL OF HIGH ENERGY PHYSICS (2010)
Dimension-six terms in the Standard Model Lagrangian
B. Grzadkowski et al.
JOURNAL OF HIGH ENERGY PHYSICS (2010)
Techniques for improved heavy particle searches with jet substructure
Stephen D. Ellis et al.
PHYSICAL REVIEW D (2009)
Jets with variable R
David Krohn et al.
JOURNAL OF HIGH ENERGY PHYSICS (2009)
Jet substructure as a new Higgs-search channel at the Large Hadron Collider
Jonathan M. Butterworth et al.
PHYSICAL REVIEW LETTERS (2008)
Top tagging: A method for identifying boosted hadronically decaying top quarks
David E. Kaplan et al.
PHYSICAL REVIEW LETTERS (2008)
Pileup subtraction using jet areas
Matteo Cacciari et al.
PHYSICS LETTERS B (2008)
Strategies to identify boosted tops
Jesse Thaler et al.
JOURNAL OF HIGH ENERGY PHYSICS (2008)
The catchment area of jets
Matteo Cacciari et al.
JOURNAL OF HIGH ENERGY PHYSICS (2008)
The anti-kt jet clustering algorithm
Matteo Cacciari et al.
JOURNAL OF HIGH ENERGY PHYSICS (2008)
Minimal flavour violation: an effective field theory approach
G D'Ambrosio et al.
NUCLEAR PHYSICS B (2002)