Jet flavor classification in high-energy physics with deep neural networks

Guest, Daniel; Collado, Julian; Baldi, Pierre; Hsu, Shih-Chieh; Urban, Gregor; Whiteson, Daniel

doi:10.1103/PhysRevD.94.112002

Title: Jet flavor classification in high-energy physics with deep neural networks

Authors:: Guest, Daniel; Collado, Julian; Baldi, Pierre; Hsu, Shih-Chieh; Urban, Gregor; Whiteson, Daniel

Publication Date:: Fri Dec 02 00:00:00 EST 2016

Sponsoring Org.:: USDOE

OSTI Identifier:: 1334226

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Physical Review D

Additional Journal Information:: Journal Name: Physical Review D Journal Volume: 94 Journal Issue: 11; Journal ID: ISSN 2470-0010

Publisher:: American Physical Society

Country of Publication:: United States

Language:: English

Citation Formats


                    Guest, Daniel, Collado, Julian, Baldi, Pierre, Hsu, Shih-Chieh, Urban, Gregor, and Whiteson, Daniel. Jet flavor classification in high-energy physics with deep neural networks.  United States: N. p., 2016. 
Web.  doi:10.1103/PhysRevD.94.112002.

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                    Guest, Daniel, Collado, Julian, Baldi, Pierre, Hsu, Shih-Chieh, Urban, Gregor, & Whiteson, Daniel. Jet flavor classification in high-energy physics with deep neural networks.  United States.  https://doi.org/10.1103/PhysRevD.94.112002

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                    Guest, Daniel, Collado, Julian, Baldi, Pierre, Hsu, Shih-Chieh, Urban, Gregor, and Whiteson, Daniel. Fri .  
"Jet flavor classification in high-energy physics with deep neural networks".  United States.  https://doi.org/10.1103/PhysRevD.94.112002.

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@article{osti_1334226,

  title        = {Jet flavor classification in high-energy physics with deep neural networks},

  author       = {Guest, Daniel and Collado, Julian and Baldi, Pierre and Hsu, Shih-Chieh and Urban, Gregor and Whiteson, Daniel},

  abstractNote = {},

  doi          = {10.1103/PhysRevD.94.112002},

  journal      = {Physical Review D},

  number       = 11,

  volume       = 94,

  place        = {United States},

  year         = {Fri Dec 02 00:00:00 EST 2016},

  month        = {Fri Dec 02 00:00:00 EST 2016}

}

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Title: Jet flavor classification in high-energy physics with deep neural networks

Citation Formats

SSpro/ACCpro 5: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, machine learning and structural similarity journal, May 2014

The RAVE/VERTIGO vertex reconstruction toolkit and framework journal, July 2008

The anti- k t jet clustering algorithm journal, April 2008

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Deep architectures for protein contact map prediction journal, July 2012

RAVE—A Detector-Independent Toolkit to Reconstruct Vertices journal, April 2011

Search for single production of a vector-like quark via a heavy gluon in the 4b final state with the ATLAS detector in pp collisions at s = 8 TeV journal, July 2016

Jet substructure classification in high-energy physics with deep neural networks journal, May 2016

Identification of b-quark jets with the CMS experiment journal, April 2013

Enhanced Higgs Boson to τ + τ − Search with Deep Learning journal, March 2015

PYTHIA 6.4 physics and manual journal, May 2006

A general framework for adaptive processing of data structures journal, January 1998

The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations journal, July 2014

Learning to Forget: Continual Prediction with LSTM journal, October 2000

FastJet user manual: (for version 3.0.2) journal, March 2012

Searching for exotic particles in high-energy physics with deep learning journal, July 2014

Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules journal, July 2013

The ATLAS Experiment at the CERN Large Hadron Collider journal, August 2008

The dropout learning algorithm journal, May 2014

Performance of b -jet identification in the ATLAS experiment journal, January 2016

SSpro/ACCpro 5: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, machine learning and structural similarity
journal, May 2014

The RAVE/VERTIGO vertex reconstruction toolkit and framework
journal, July 2008

The anti- k _t jet clustering algorithm
journal, April 2008

A search for top squarks with R-parity-violating decays to all-hadronic final states with the ATLAS detector in s = 8 $$ \sqrt{s}=8 $$ TeV proton-proton collisions
journal, June 2016

Deep architectures for protein contact map prediction
journal, July 2012

RAVE—A Detector-Independent Toolkit to Reconstruct Vertices
journal, April 2011

Search for single production of a vector-like quark via a heavy gluon in the 4b final state with the ATLAS detector in pp collisions at $\sqrt{s} = 8 TeV$
journal, July 2016

Jet substructure classification in high-energy physics with deep neural networks
journal, May 2016

Identification of b-quark jets with the CMS experiment
journal, April 2013

Enhanced Higgs Boson to $τ^{+} τ^{-}$ Search with Deep Learning
journal, March 2015

PYTHIA 6.4 physics and manual
journal, May 2006

A general framework for adaptive processing of data structures
journal, January 1998

The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
journal, July 2014

Learning to Forget: Continual Prediction with LSTM
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FastJet user manual: (for version 3.0.2)
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Searching for exotic particles in high-energy physics with deep learning
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