Machine and deep learning applications in particle physics

Guiding new physics searches with unsupervised learning

(2019) Andrea De Simone et al.   EUROPEAN PHYSICAL JOURNAL C

Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV

(2018) A.M. Sirunyan et al.   Journal of Instrumentation

Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer Calorimeters

(2018) Michela Paganini et al.   PHYSICAL REVIEW LETTERS

Machine learning at the energy and intensity frontiers of particle physics

(2018) Alexander Radovic et al.   NATURE

Constraining Effective Field Theories with Machine Learning

(2018) Johann Brehmer et al.   PHYSICAL REVIEW LETTERS

Parton distributions from high-precision collider data

(2017) Richard D. Ball et al.   EUROPEAN PHYSICAL JOURNAL C

An introduction to PYTHIA 8.2

(2015) Torbjörn Sjöstrand et al.   COMPUTER PHYSICS COMMUNICATIONS

LHAPDF6: parton density access in the LHC precision era

(2015) Andy Buckley et al.   EUROPEAN PHYSICAL JOURNAL C

Deep learning

(2015) Yann LeCun et al.   NATURE

Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC

(2012) S. Chatrchyan et al.   PHYSICS LETTERS B

Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

(2012) G. Aad et al.   PHYSICS LETTERS B

A brief introduction to PYTHIA 8.1

(2008) Torbjörn Sjöstrand et al.   COMPUTER PHYSICS COMMUNICATIONS