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This paper reports on the second "Throughput" phase of the Tracking Machine Learning (TrackML) challenge on the Codalab platform.
1902
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Springer International Publishing, Nov., 2019
S. Amrouche, L. Basara, P. Calafiura, V. Estrade, S. Farrell, D. R. Ferreira, L. Finnie, N. Finnie, C. Germain, V. V. Gligorov, T. Golling, S. Gorbunov, H. Gray, I. Guyon, M. Hushchyn, V. Innocente, M. Kiehn, E. Moyse, J.-F. Puget, Y. Reina, D. Rousseau, A. Salzburger, A. Ustyuzhanin, J.-R. Vlimant, J. S. Wind, T. Xylouris, and Y. Yilmaz, The tracking machine learning challenge: Accuracy phase · 1904
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1908
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F. Dietrich, Track Seed Classification with Deep Neural Networks · 1910
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I. Abt, D. Emeliyanov, I. Kisel, and S. Masciocchi, CATS: a cellular automaton for tracking in silicon for the HERA-B vertex detector
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J. Duarte and J.-R. Vlimant, Graph Neural Networks for Particle Tracking and Reconstruction
2012
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A. Heintz et al · 2012
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C. Tüysüz, K. Novotny, C. Rieger, F. Carminati, B. Demirköz, D. Dobos, F. Fracas, K. Potamianos, S. Vallecorsa, and J.-R. Vlimant, Performance of Particle Tracking Using a Quantum Graph Neural Network · 2012
https://doi.org/10.5281/zenodo.4730157
A. Salzburger, V. Innocente, J.-R. Vlimant, D. Rousseau, V. Gligorov, L. Basara, V. Estrade, P. Calafiura, S. Farell, H. Gray, T. Golling, M. Kiehn, S. Amrouche, M. Hushchyn, A. Ustyuzhanin, E. Moyse, C. Germain, and I. Guyon, Trackml throughput phase · 2018
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https://doi.org/10.5281/zenodo.4730167
A. Salzburger, V. Innocente, J.-R. Vlimant, D. Rousseau, V. Gligorov, V. Estrade, L. Basara, P. Calafiura, S. Farell, H. Gray, T. Golling, M. Kiehn, S. Amrouche, A. Ustyuzhanin, M. Hushchyn, E. Moyse, C. Germain, and I. Guyon, Trackml particle tracking challenge · 2018
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https://cds.cern.ch/record/2693670
ATLAS Collaboration, Fast track reconstruction for hl-lhc · 2019
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12, 2019
S. Amrouche, T. Golling, M. Kiehn, C. Plant, and A. Salzburger, Similarity hashing for charged particle tracking · 2019
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P. Gessinger, H. Grasland, H. Gray, M. Kiehn, F. Klimpel, R. Langenberg, A. Salzburger, B. Schlag, J. Zhang, and X. Ai, The Acts project: track reconstruction software for HL-LHC and beyond
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D. Merkel, Docker: lightweight linux containers for consistent development and deployment
2014
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https://github.com/LAL/trackml-library
TrackML team, “TrackML helper library .”
Cited in the paper.
https://www.gridpp.ac.uk/wiki/HEPSPEC06
“HEPSPEC06 benchmark results.”
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https://cds.cern.ch/record/2751565
CMS Collaboration, Evolution of the CMS computing model towards phase-2 · 2021
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