QCD-aware recursive neural networks for jet physics

Novel jet observables from machine learning

(2018) Kaustuv Datta et al.   JOURNAL OF HIGH ENERGY PHYSICS

Energy flow polynomials: a complete linear basis for jet substructure

(2018) Patrick T. Komiske et al.   JOURNAL OF HIGH ENERGY PHYSICS

Deep Learning and Its Application to LHC Physics

(2018) Dan Guest et al.   Annual Review of Nuclear and Particle Science

Anomaly Detection for Resonant New Physics with Machine Learning

(2018) Jack Collins et al.   PHYSICAL REVIEW LETTERS

Spectral analysis of jet substructure with neural networks: boosted Higgs case

(2018) Sung Hak Lim et al.   JOURNAL OF HIGH ENERGY PHYSICS

Jet charge and machine learning

(2018) Katherine Fraser et al.   JOURNAL OF HIGH ENERGY PHYSICS

Deep learning in color: towards automated quark/gluon jet discrimination

(2017) Patrick T. Komiske et al.   JOURNAL OF HIGH ENERGY PHYSICS

Deep-learning top taggers or the end of QCD?

(2017) Gregor Kasieczka et al.   JOURNAL OF HIGH ENERGY PHYSICS

Classification without labels: learning from mixed samples in high energy physics

(2017) Eric M. Metodiev et al.   JOURNAL OF HIGH ENERGY PHYSICS

VINCIA for hadron colliders

(2016) N. Fischer et al.   EUROPEAN PHYSICAL JOURNAL C

Jet-images — deep learning edition

(2016) Luke de Oliveira et al.   JOURNAL OF HIGH ENERGY PHYSICS

An introduction to PYTHIA 8.2

(2015) Torbjörn Sjöstrand et al.   COMPUTER PHYSICS COMMUNICATIONS

Jet-images: computer vision inspired techniques for jet tagging

(2015) Josh Cogan et al.   JOURNAL OF HIGH ENERGY PHYSICS

Playing tag with ANN: boosted top identification with pattern recognition

(2015) Leandro G. Almeida et al.   JOURNAL OF HIGH ENERGY PHYSICS

Antenna showers with hadronic initial states

(2012) M. Ritzmann et al.   PHYSICS LETTERS B

Towards jetography

(2010) Gavin P. Salam   EUROPEAN PHYSICAL JOURNAL C

The anti-kt jet clustering algorithm

(2008) Matteo Cacciari et al.   JOURNAL OF HIGH ENERGY PHYSICS