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pro vyhledávání: '"GORBUNOV, SERGEY"'
Autor:
Gorshenin, Andrey a, ⁎, Kozlovskaya, Anastasia b, Gorbunov, Sergey b, c, Kochetkova, Irina d, a, ⁎⁎
Publikováno v:
In Computer Networks June 2024 247
Autor:
Amrouche, Sabrina, Basara, Laurent, Calafiura, Paolo, Emeliyanov, Dmitry, Estrade, Victor, Farrell, Steven, Germain, Cécile, Gligorov, Vladimir Vava, Golling, Tobias, Gorbunov, Sergey, Gray, Heather, Guyon, Isabelle, Hushchyn, Mikhail, Innocente, Vincenzo, Kiehn, Moritz, Kunze, Marcel, Moyse, Edward, Rousseau, David, Salzburger, Andreas, Ustyuzhanin, Andrey, Vlimant, Jean-Roch
This paper reports on the second "Throughput" phase of the Tracking Machine Learning (TrackML) challenge on the Codalab platform. As in the first "Accuracy" phase, the participants had to solve a difficult experimental problem linked to tracking accu
Externí odkaz:
http://arxiv.org/abs/2105.01160
Autor:
Vinokurov, Andrey D. a, Iliyasov, Taygib M. a, Karpenko, Kirill A. a, Derkach, Yana V. a, b, Ryabov, Anton A. a, b, Gorbunov, Sergey V. a, Goloveshkin, Alexander S. c, Vereshchagin, Anatoly N. a, ∗
Publikováno v:
In Tetrahedron 4 December 2023 149
In LHC Run 3, ALICE will increase the data taking rate significantly to 50 kHz continuous read-out of minimum bias Pb-Pb collisions. The reconstruction strategy of the online-offline computing upgrade foresees a first synchronous online reconstructio
Externí odkaz:
http://arxiv.org/abs/1905.05515
Autor:
Amrouche, Sabrina, Basara, Laurent, Calafiura, Paolo, Estrade, Victor, Farrell, Steven, Ferreira, Diogo R., Finnie, Liam, Finnie, Nicole, Germain, Cécile, Gligorov, Vladimir Vava, Golling, Tobias, Gorbunov, Sergey, Gray, Heather, Guyon, Isabelle, Hushchyn, Mikhail, Innocente, Vincenzo, Kiehn, Moritz, Moyse, Edward, Puget, Jean-Francois, Reina, Yuval, Rousseau, David, Salzburger, Andreas, Ustyuzhanin, Andrey, Vlimant, Jean-Roch, Wind, Johan Sokrates, Xylouris, Trian, Yilmaz, Yetkin
Publikováno v:
In: Escalera S., Herbrich R. (eds) The NeurIPS 2018 Competition. The Springer Series on Challenges in Machine Learning. Springer, Cham
This paper reports the results of an experiment in high energy physics: using the power of the "crowd" to solve difficult experimental problems linked to tracking accurately the trajectory of particles in the Large Hadron Collider (LHC). This experim
Externí odkaz:
http://arxiv.org/abs/1904.06778
Akademický článek
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In LHC Run 3, ALICE will increase the data taking rate significantly to continuous readout of 50 kHz minimum bias Pb-Pb collisions. The reconstruction strategy of the online offline computing upgrade foresees a first synchronous online reconstruction
Externí odkaz:
http://arxiv.org/abs/1811.11481
Autor:
Rohr, David, Krzewicki, Mikolaj, Zampolli, Chiara, Wiechula, Jens, Gorbunov, Sergey, Chauvin, Alex, Vorobyev, Ivan, Weber, Steffen, Schweda, Kai, Lindenstruth, Volker
Publikováno v:
IEEE Transactions on Nuclear Science, vol. 64, no. 6, pp. 1263-1270, June 2017
ALICE (A Large Ion Collider Experiment) is one of four major experiments at the Large Hadron Collider (LHC) at CERN. The High Level Trigger (HLT) is a compute cluster, which reconstructs collisions as recorded by the ALICE detector in real-time. It e
Externí odkaz:
http://arxiv.org/abs/1712.09423
Autor:
Rohr, David, Gorbunov, Sergey, Krzewicki, Mikolaj, Breitner, Timo, Kretz, Matthias, Lindenstruth, Volker
Publikováno v:
Journal of Physics: Conference Series, Volume 664, pages 082047, 2015
ALICE (A Large Heavy Ion Experiment) is one of the four major experiments at the Large Hadron Collider (LHC) at CERN, which is today the most powerful particle accelerator worldwide. The High Level Trigger (HLT) is an online compute farm of about 200
Externí odkaz:
http://arxiv.org/abs/1712.09416
Autor:
Rohr, David, Shahoyan, Ruben, Zampolli, Chiara, Krzewicki, Mikolaj, Wiechula, Jens, Gorbunov, Sergey, Chauvin, Alex, Schweda, Kai, Lindenstruth, Volker
Publikováno v:
EPJ Web Conf., 127 (2016) 00014
ALICE (A Large Heavy Ion Experiment) is one of the four large scale experiments at the Large Hadron Collider (LHC) at CERN. The High Level Trigger (HLT) is an online computing farm, which reconstructs events recorded by the ALICE detector in real-tim
Externí odkaz:
http://arxiv.org/abs/1712.09434