Articles (KAE)
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Item First determination of the ρ parameterat at √s = 13 TeV: probing the existence of a colourless C-odd three-gluon compound state(Springer, 2019) Antchev, G.; Aspell, P.; Atanassov, I.; Avati, V.; Baechler, J.; Barrera, C. Baldenegro; Berardi, V.; Berretti, M.; Bossini, E.; Bottigli, U.; Bozzo, M.; Bruce, R.; Burkhardt, H.; Cafagna, F.S.; Catanesi, M.G.; Csanád, M.; Csörgö, T.; Deile, M.; De Leonardis, F.; D´Orazio, A.; Doubek, Martin; Druzhkin, D.; Eggert, K.; Eremin, V.; Ferro, F.; Fiergolski, A.; Garcia, F.; Garcia Morales, H.; Georgiev, Vjačeslav; Giani, S.; Grzanka, L.; Hammerbauer, Jiří; Heino, J.; Helander, P.; Isidori, T.; Ivanchenko, V.; Janda, Martin; Karev, A.; Kašpar, Jiří; Kopal, J.; Kundrát, Vojtěch; Lami, S.; Latino, G.; Lauhakangas, R.; Linhart, Richard; Lindsey, C.; Lokajíček, Miloš; Losurdo, L.; Lo Vetere, M.; Rodríguez, F. Lucas; Macrí, M.; Malawski, M.; Mereghetti, A.; Minafra, N.; Minutoli, S.; Mirarchi, D.; Naarranoja, T.; Nemes, F.; Niewiadomski, H.; Novak, T.; Oliveri, E.; Oljemark, F.; Oriunno, M.; Österberg, K.; Palazzi, P.; Passaro, V.; Peroutka, Zdeněk; Procházka, Jiří; Quinto, M.; Radermacher, E.; Radicioni, E.; Ravotti, F.; Redaelli, S.; Robutti, E.; Royon, C.; Ruggiero, G.; Saarikko, H.; Salvachua, B.; Scribano, A.; Široký, Jan; Smajek, J.; Snoeys, W.; Stefanovitch, R.; Sziklai, J.; Taylor, C.; Tcherniaev, E.; Turini, N.; Vacek, Václav; Valentino, G.; Welti, J.; Wenninger, J.; Williams, J.; Wyszkowski, P.; Zich, Jan; Zielinski, K.Item Detector response and performance of a 500 μm thick GaAs attached to Timepix3 in relativistic particle beams(Institute of Physics Publishing, 2020) Bergmann, Benedikt, Ludwig; Azzarello, Philipp; Broulím, Pavel; Burian, Petr; Meduna, Lukáš; Paniccia, Mercedes; Perrina, Chiara; Pospíšil, Stanislav; Tlustos, Lukáš; Wu, X.Item Transition radiation measurements with a Si and a GaAs pixel sensor on a Timepix3 chip(Elsevier, 2020) Dachs, F.; Alozy, J.; Belyaev, N.; Bergmann, B. L.; Beuzekom, M. van; Billoud, T. R. V.; Burian, Petr; Broulím, Pavel; Campbell, M.; Chelkov, G.; Cherry, M.; Doronin, S.; Filippov, K.; Fusco, P.; Gargano, F.; Heijden, B. van der; Heijne, E. H. N.; Konovalov, S.; Cudie, X. L.; Loparco, F.; Mascagna, V.; Mazziotta, M. N.; Meduna, L.; Pernegger, H.; Ponomarenko, D.; Pospíšil, S.; Prest, M.; Rembser, C.; Romaniouk, A.; Savchenko, A. A.; Schaefer, D.; Schioppa, E. J.; Sergeeva, D.; Shchukin, D.; Shulga, E.; Smirnov, S.; Smirnov, Y.; Smolyanskiy, P.; Soldani, M.; Spinelli, P.; Strikhanov, M.; Teterin, P.; Tikhomirov, V.; Tishchenko, A.A.; Vallazza, E.; Vorobev, K.; Zhukov, K.Item Scintillation readout with MAPD array for gamma spectrometer(IOP Publishing, 2020) Akbarov, R.A.; Nuruyev, S.M.; Ahmadov, G.S.; Ahmadov, F.I.; Tyutyunnikov, S.I.; Sadigov, A.Z.; Mammadov, R.; Holík, Michael; Berikov, D.; Kopatch, Yu.Item Performance of silicon photomultipliers at low temperature(IOP Publishing, 2020) Nuruyev, S.; Ahmadov, G.; Sadigov, A.; Akberov, R.; Ahmadov, F.; Holík, Michael; Kopatch, Yu.Item Relative luminosity measurement with Timepix3 in ATLAS(IOP Publishing, 2020) Bergmann, Benedikt, Ludwig; Billoud, Thomas Rémy Victor; Burian, Petr; Broulím, Pavel; Leroy, Claude; Lesmes, Catarína; Mánek, Petr; Meduna, Lukáš; Pospíšil, Stanislav; Sopczak, Andre; Suk, MichalItem Ethernet embedded readout interface for Timepix2 – Katherine readout for Timepix2(IOP Publishing, 2020) Burian, Petr; Broulím, Pavel; Bergmann, Benedikt, Ludwig; Tlustos, LukášItem Study of neutron-rich isotopes near N=152 shell closure using Timepix type detectors integrated into the mass separator MASHA(IOP Publishing, 2020) Broulím, Jan; Chernysheva, E.V.; Gulyaev, S.N.; Gulyaeva, A.V.; Holík, Michael; Kamas, D.; Kliman, J.; Komarov, A.B.; Krupa, Luboš; Mora Sierra, Yesid; Novoselov, A.S.; Opichal, A.; Pechoušek, Jiří; Podshibyakin, A.V.; Rodin, A.M.; Salamatin, V.S.; Stepantsov, S.V.; Vedeneev, V.Yu.; Yukhimchuk, S.A.Item FEM based preliminary design optimization in case of large power transformers(MDPI, 2020) Orosz, Tamás; Pánek, David; Karban, PavelSince large power transformers are custom-made, and their design process is a labor-intensive task, their design process is split into different parts. In tendering, the price calculation is based on the preliminary design of the transformer. Due to the complexity of this task, it belongs to the most general branch of discrete, non-linear mathematical optimization problems. Most of the published algorithms are using a copper filling factor based winding model to calculate the main dimensions of the transformer during this first, preliminary design step. Therefore, these cost optimization methods are not considering the detailed winding layout and the conductor dimensions. However, the knowledge of the exact conductor dimensions is essential to calculate the thermal behaviour of the windings and make a more accurate stray loss calculation. The paper presents a novel, evolutionary algorithm-based transformer optimization method which can determine the optimal conductor shape for the windings during this examined preliminary design stage. The accuracy of the presented FEM method was tested on an existing transformer design. Then the results of the proposed optimization method have been compared with a validated transformer design optimization algorithm.Item Comparison of simplified techniques for solving selected coupled electroheat problems(Emerald, 2020) Pánek, David; Karban, Pavel; Orosz, Tamás; Doležel, IvoPurpose – The purpose of this paper is to compare different reduced-order models for models of control of induction brazing process. In the presented application, the problem is to reconstruct temperature at the points of interests (hot spots) from information measured at accessible places. Design/methodology/approach – The paper describes the process of induction brazing. It presents the full field model and evaluates the possibilities for obtaining reduced models for temperature estimation. The primary attention is paid to the model based on proper orthogonal decomposition (POD). Findings – The paper shows that for the given application, it is possible to find low-order estimator. In the examined linear case, the best estimator was created using POD reduced model together with the linear Kalman filter. Research limitations/implications – The authors are aware of two main limitations of the presented study: material properties are considered linear, which is not a completely realistic assumption. However, if strong coupling and nonlinear material parameters are considered, the model becomes unsolvable. The process and measurement uncertainties are not considered. Originality/value – The paper deals with POD of multi-physics 3D application of induction brazing. The paper compares 11 different methods for temperature estimator design.Item OpenCL/CUDA algorithms for parallel decoding of any irregular LDPC code using GPU(CEON/CEES, 2019) Broulím, Jan; Ayriyan, Alexander; Hovik, Grigorian; Georgiev, VjačeslavThis article provides a scalable parallel approach of an iterative LDPC decoder. The proposed approach can be implemented in applications supporting massive parallel computing. The proposed mapping is suitable for decoding any irregular LDPC code without the limitation of the maximum node degree. The implementation of the LDPC decoder with the use the OpenCL and CUDA frameworks is discussed and a performance evaluation is given at the end of this contribution.Item Elastic differential cross-section measurement at √s = 13 TeV by TOTEM(Springer, 2019) Antchev, G.; Aspell, P.; Atanassov, I.; Avati, V.; Baechler, J.; Barrera, C.Baldenegro; Berardi, V.; Berretti, M.; Bossini, E.; Bottigli, U.; Bozzo, M.; Burkhardt, H.; Cafagna, F.S.; Catanesi, M.G.; Csanád, M.; Csörgö, T.; Deile, M.; De Leonardis, F.; Doubek, M.; Druzhkin, D.; Eggert, K.; Eremin, V.; Ferro, F.; Fiergolski, A.; Garcia, F.; Georgiev, Vjačeslav; Giani, S.; Grzanka, L.; Hammerbauer, Jiří; Ivanchenko, V.; Kašpar, J.; Kopal, J.; Kundrát, V.; Lami, S.; Latino, G.; Lauhakangas, R.; Lindsey, C.; Lokajíček, M.V.; Losurdo, L.; Lo Vetere, M.; Lucas Rodríguez, F.; Macrí, M.; Malawski, M.; Minafra, N.; Minutoli, S.; Naaranoja, T.; Nemes, F.; Niewiadomski, H.; Novák, T.; Oliveri, E.; Oljemark, F.; Oriunno, M.; Österberg, K.; Palazzi, P.; Passaro, V.; Peroutka, Zdeněk; Procházka, J.; Quinto, M.; Radermacher, E.; Radicioni, E.; Ravotti, F.; Robutti, E.; Royon, C.; Ruggiero, G.; Saarikko, H.; Scribano, A.; Smajek, J.; Snoeys, W.; Sziklai, J.; Taylor, C.; Tcherniaev, E.; Turini, N.; Vacek, V.; Welti, J.; Williams, J.; Ciesielski, R.Item RISEPix - A Timepix-based radiation monitor telescope onboard the RISESAT satellite(Wiley, 2019) Filgas, Robert; Malich, Milan; Kuwahara, Toshinori; Broulím, Jan; Holík, Michael; Sakal, Morokot; Murata, Yu; Tomio, Hannah; Gohl, Stefan; Pineda T., Johan M.Item j-Pix — a multiplatform acquisition package for Timepix3(IOP Publishing, 2019) Broulím, Jan; Broulím, Pavel; Burian, Petr; Holík, Michael; Mora Sierra, Yesid; Pospíšil, Stanislav; Solar, MichaelItem Multidimensional Cross Parity Check Codes as a Promising Solution to CubeSat Low Data Rate Downlinks(Západočeská univerzita v Plzni, 2019) Veřtát, Ivo; Dudáček, Luděk; Pinker, JiříItem Adaptive Control System for Autonomous Vehicle Path Following(Západočeská univerzita v Plzni, 2019) Štork, Milan; Pinker, Jiří; Weissar, Petr; Pinker, JiříItem Cardiac Mathematical Models for Exercise Testing on Treadmill Ergometer(Západočeská univerzita v Plzni, 2019) Štork, Milan; Novák, Jaroslav; Brož, Pavel; Pinker, JiříItem Modified Tellegen Principle Used for Power and Energy Systems Modeling(Západočeská univerzita v Plzni, 2019) Štork, Milan; Mayer, Daniel; Pinker, JiříItem New Design Methodology – Using VHDL-AMS Models to Consider Aging Effects in Automotive Mechatronic Circuits for Safety Relevant Functions(Západočeská univerzita v Plzni, 2019) Scharfenberg, Georg; Elis, Luděk; Hofmann, Gerhard; Pinker, JiříItem Electromagnetic Interference from DC/DC Converter of Photovoltaic System(Západočeská univerzita v Plzni, 2019) Kubík, Zdeněk; Skála, Jiří; Pinker, Jiří