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Using detailed simulations of calorimeter showers as training data, we investigate the use of deep learning algorithms for the simulation and reconstruction of particles produced in high-energy physics collisions.
Classification and regression trees
Friedman Breiman · 1984
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Neural Networks and Cellular Automata in Experimental High-energy Physics
Bruce H. Denby · 1988
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Track Finding With Neural Networks
Carsten Peterson · 1989
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Classification of the hadronic decays of the Z0 into b and c quark pairs using a neural network
P. Abreu et al · 1992
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GEANT4: A Simulation toolkit
S. Agostinelli et al · 2003
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The ATLAS Experiment at the CERN Large Hadron Collider
G. Aad et al · 2008
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The CMS Experiment at the CERN LHC
S. Chatrchyan et al · 2008
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Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC
Georges Aad et al · 2012
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Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC
Serguei Chatrchyan et al · 2012
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Physics and Detectors at CLIC: CLIC Conceptual Design Report
L. Linssen, A. Miyamoto, M. Stanitzki, and H. Weerts · 2012
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The CLIC Programme: Towards a Staged e+e- Linear Collider Exploring the Terascale : CLIC Conceptual Design Report
P. Lebrun, L. Linssen, A. Lucaci-Timoce, D. Schulte, F. Simon, S. Stapnes, N. Toge, H. Weerts, and J. Wells · 2012
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Lecture 6a overview of mini–batch gradi-ent descent
Geoffrey Hinton, Nitish Srivastava, and Kevin Swersky · 2012
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The International Linear Collider Technical Design Report - Volume 1: Executive Summary
Ties Behnke, James E. Brau, Brian Foster, Juan Fuster, Mike Harrison, James McEwan Paterson, Michael Peskin, Marcel Stanitzki, Nicholas Walker, and Hitoshi Yamamoto · 2013
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Generative Adversarial Networks
I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Going deeper with convolutions, 2014
Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich Christian Szegedy, Wei Liu · 2014
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Technical Proposal for the Phase-II Upgrade of the CMS Detector
V. Khachatryan et al · 2015
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The ATLAS Fast Monte Carlo Production Chain Project
Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis
Luke de Oliveira, Michela Paganini, and Benjamin Nachman · 2017
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CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks
Michela Paganini, Luke de Oliveira, and Benjamin Nachman · 2017
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Calorimetry with Deep Learning : Particle Classification , Energy Regression , and Simulation for High-Energy Physics
Federico Carminati, Gulrukh Khattak, Maurizio Pierini, Sofia Vallecorsafa, Amir Farbin, Benjamin Hooberman, Wei Wei, Matt Zhang, Barin Pacela, Vitorial, Maria Spiropulu, and Jean-roch Vlimant · 2017
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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Calorimetry with deep learning : Particle classification , energy regression , and simulation for high-energy physics
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Roland Jansky · 2015
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Jet-Images: Computer Vision Inspired Techniques for Jet Tagging
Josh Cogan, Michael Kagan, Emanuel Strauss, and Ariel Schwarztman · 2015
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi et al · 2015
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Jet-images — deep learning edition
Luke de Oliveira, Michael Kagan, Lester Mackey, Benjamin Nachman, and Ariel Schwartzman · 2016
Cited alongside, same era.
Conditional Image Synthesis With Auxiliary Classifier GANs
A. Odena, C. Olah, and J. Shlens · 2016
Cited alongside, same era.
High-Luminosity Large Hadron Collider (HL-LHC): Technical Design Report V. 0.1
Apollinari G., Béjar Alonso I., Brüning O., Fessia P., Lamont M., Rossi L., and Tavian L · 2017
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Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Vitória Barin Pacela, Maurizio Pierini, Maria Spiropulu, Sofia Vallecorsafac, Jean-Roch Vlimant, Wei Wei, and Matt Zhang · 2017
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Controlling physical attributes in gan-accelerated simulation of electromagnetic calorimeters, 2017
Benjamin Nachman Luke de Oliveira, Michela Paganini · 2017
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Electron identification using machine learning in the atlas experiment with 2016 data, 2017
Nicolas Palm Perez · 2017
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Electromagnetic showers beyond shower shapes, 2018
Michela Paganini Luke de Oliveira, Benjamin Nachman · 2018
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Technical Report ATL-SOFT-PUB-2018-001, CERN, Geneva, Jul 2018
Deep generative models for fast shower simulation in ATLAS · 2018
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scikit-optimize/scikit-optimize: v0.5.2, March 2018
Tim Head et al · 2018
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