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To enable the reusability of massive scientific datasets by humans and machines, researchers aim to adhere to the principles of findability, accessibility, interoperability, and reusability (FAIR) for data and artificial intelligence (AI) models.
End-to-end jet classification of quarks and gluons with the CMS open data
Andrews, M. et al · 1902
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Komiske, P. T., Metodiev, E. M. & Thaler, J · 1902
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Sirunyan, A. M. et al · 2003
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Lorentz group equivariant neural network for particle physics
Bogatskiy, A. et al · 2006
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Cacciari, M., Salam, G. P. & Soyez, G · 2008
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Jet substructure as a new Higgs search channel at the LHC
Butterworth, J. M., Davison, A. R., Rubin, M. & Salam, G. P · 2008
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Jet flavour classification using DeepJet
Bols, E., Kieseler, J., Verzetti, M., Stoye, M. & Stakia, A · 2008
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Deng, J. et al · 2009
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Thaler, J. & Van Tilburg, K · 2011
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Aad, G. 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
Chatrchyan, S. et al · 2012
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VBF1Parked primary dataset in AOD format from Run C of 2012 (/VBF1Parked/Run2012C-22Jan2013-v1/AOD), 10.7483/OPENDATA.CMS.4P88.F4RS
CMS Collaboration · 2012
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FastJet user manual
Cacciari, M., Salam, G. P. & Soyez, G · 2012
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Accelerated, scalable and reproducible AI-driven gravitational wave detection
Huerta, E. A. et al · 2012
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Stochastic gradient descent for non-smooth optimization: Convergence results and optimal averaging schemes
Shamir, O. & Zhang, T · 2013
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GPU Computing , 845–849 (Springer New York, New York, NY, 2013)
Vázquez, F., Martínez, J. A. & Garzón, E. M · 2013
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Towards an understanding of jet substructure
Dasgupta, M., Fregoso, A., Marzani, S. & Salam, G. P · 2013
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Identification of b-quark jets with the CMS experiment
Chatrchyan, S. et al · 2013
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Performance of the DeepJet b tagging algorithm using 41.9/fb of data from proton-proton collisions at 13 TeV with phase 1 CMS detector
CMS Collaboration · 2018
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Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
Sirunyan, A. M. et al · 2018
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Sample with jet, track and secondary vertex properties for Hbb tagging ML studies (HiggsToBBNTuple_HiggsToBB_QCD_RunII_13TeV_MC), 10.7483/OPENDATA.CMS.JGJX.MS7Q (2019)
CMS Collaboration & Duarte, J · 2019
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Simulated dataset BulkGravTohhTohbbhbb_narrow_M-600_13TeV-madgraph in MINIAODSIM format for 2016 collision data, 10.7483/OPENDATA.CMS.R5U7.WV97 (2019)
CMS Collaboration · 2019
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Simulated dataset QCD_Pt_300to470_TuneCUETP8M1_13TeV_pythia8 in MINIAODSIM format for 2016 collision data, 10.7483/OPENDATA.CMS.DAY1.ZIQE (2019)
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Parton distributions with LHC data
Ball, R. D. et al · 2013
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Soft drop
Larkoski, A. J., Marzani, S., Soyez, G. & Thaler, J · 2014
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Deep learning
LeCun, Y., Bengio, Y. & Hinton, G · 2015
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An introduction to pythia
Sjöstrand, T. et al · 2015
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S. & Sun, J · 2016
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WaveNet: A generative model for raw audio
van den Oord, A. et al · 2016
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CMS Collaboration · 2019
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HiggsToBBNtupleProducerTool - ROOT ntuple producer for developing machine learning algorithms from CMS Run2 MiniAOD, 10.7483/OPENDATA.CMS.MWG0.J8V6 (2019)
Javier Duarte and Huilin Qu and Jan Kieseler and Mauro Verzetti and Loukas Gouskos and Markus Stoye and Caterina Vernieri · 2019
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Code for root-project/root
Brun, R. et al · 2019
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DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding
Lee, H. et al · 2019
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End-to-end physics event classification with CMS open data: Applying image-based deep learning to detector data for the direct classification of collision events at the LHC
Andrews, M., Paulini, M., Gleyzer, S. & Poczos, B · 2020
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Record for the data set “Sample with jet, track and secondary vertex properties for Hbb tagging ML studies (HiggsToBBNTuple_HiggsToBB_QCD_RunII_13TeV_MC)"
CMS Collaboration & Duarte, J · 2020
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Code for scikit-hep/uproot
Pivarski, J. et al · 2020
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Code for scikit-hep/awkward-array
Pivarski, J. et al · 2020
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Advances in Machine and Deep Learning for Modeling and Real-Time Detection of Multi-messenger Sources , 1–27 (Springer Singapore, Singapore, 2020)
Huerta, E. A. & Zhao, Z · 2020
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Star cluster classification in the PHANGS-HST survey: Comparison between human and machine learning approaches
Whitmore, B. C. et al · 2021
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The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics
Kasieczka, G. et al · 2021
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LHC physics dataset for unsupervised New Physics detection at 40 MHz (2021)
Govorkova, E. et al · 2021
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The Tracking Machine Learning challenge: Throughput phase (2021)
Amrouche, S. et al · 2021
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Code for jmduarte/capstone-particle-physics-domain
Duarte, J., Rao, A. & Würthwein, F · 2021
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Code for FAIR4HEP/FAIR4HEP-Toolkit
Chen, Y. & Duarte, J · 2021
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