When integrating a function of multiple variables, a neural network serves as one of the approaches to represent the integral form of the function. This is achieved by training the network on the values of the integrand, followed by the analytical integration of the network. A team from LIT is…
One of the significant tasks (at the offline analysis stage) during HEP experiments is charged particle identification (PID). Over the last ten years, machine learning approaches have become widely used in high energy physics problems in general and in PID in particular. This work is devoted to the machine learning…
Параллельные алгоритмы для исследования системы длинных джозефсоновских переходов* M.V. Bashashin1,3, A.V. Nechaevskiy1, D.V. Podgainy1, I.R. Rahmonov2, Yu.M. Shukrinov2,3, O.I. Streltsova1,3, E.V. Zemlyanaya1,3, M.I. Zuev1 1Laboratory of Information Technologies JINR 2Bogoliubov Laboratory of Theoretical Physics JINR 3Dubna State University *The study was supported by the Russian Science Foundation (the project №…
Report on the usage of the resources of the HybriLIT heterogeneous platform Ivan Georgiev Hristov, Radoslava Danailova Hristova Faculty of Mathematics and Informatics, Sofia University, Bulgaria e-mails: christov_ivan@abv.bg, radoslava@fmi.uni-sofia.bg 1. Title of the task Numerical investigation of a class of combined Explicit-Implicit Taylor series methods of various order of accuracy…
N. Yu. Astrakhantsev, V. G. Bornyakov, V. V. Braguta, E.-M. Ilgenfritz, A. Yu. Kotov, A. V. Molochkov, A. A. Nikolaev, A. Rothkopf In this paper we study the interactions among a static quark-antiquark pair in the presence of dense two-color quark matter with lattice simulation. To this end we compute…
Alexander Ayriyan, Jan Busa Jr., Hovik Grigorian, and Gevorg Poghosyan. Parallel Algorithm for Solving TOV Equations for Sequence of Cold and Dense Nuclear Matter Models // European Physics Journal WoC, vol. 177, 07001 (2018) Alexander Ayriyan1, Ján Buša Jr.1,2, Hovik Grigorian1,3 and Gevorg Poghosyan4 1 Laboratory of Information Technologies, JINR…
Yu.M. Shukrinov1,2, I.R. Rahmonov1,3, A. Plecenik4, O.I. Streltsova5, M.I. Zuev5, G.A. Ososkov5 1. The Bogoliubov Laboratory of Theoretical Physics, JINR, Dubna, Russia 2. Dubna International University for Nature, Society and Man, Dubna, Russia 3. S.U. Umarov Physical-Technical Institute, Dushanbe, Tajikistan 4. Department of Experimental Physics, Comenius University, Bratislava, Slovakia 5.…
Alexander Ayriyana, Jan Busa Jr.b,e, Eugeny E. Donetsc, Hovik Grigoriana,d, Jan Pribisa,e. а) Laboratory of Information Technologies, JINR, Dubna, Russia b) Institute of Physics, Academia Sinica, Nankang, Taipei, Taiwan c) Veksler and Baldin Laboratory of High Energy Physics, JINR, Dubna, Russia d) Department of Theoretical Physics, Yerevan State University, Yerevan,…
Jan Broulím, Pavel Broulím, Jan Moldaschl, Vjačeslav Georgiev, Radek Šalom Abstract — One of the most significant current discussions in error correction coding is on the replacement of state-of-the-art codes by new innovative solutions. We propose a scalable parallel FPGA architecture for LDPC decoding. Regular and irregular codes are supported…
