CERN Accelerating science

CERN Document Server Encontrados 45 registros  1 - 10siguientefinal  ir al registro: La búsqueda tardó 0.52 segundos. 
1.
Fusion Neutron-Induced Soft Errors During Long Pulse D–D Plasma Discharges in the WEST Tokamak / Moindjie, S (IM2NP, Marseille) ; Munteanu, D (IM2NP, Marseille) ; Autran, J L (IM2NP, Marseille ; Rennes U.) ; Dentan, M (CEA Cadarache) ; Moreau, P (CEA Cadarache) ; Pellissier, F P (CEA Cadarache) ; Santraine, B (CEA Cadarache) ; Bucalossi, J (CEA Cadarache) ; Malherbe, V ; Thery, T et al.
We have performed real-time soft error rate (RT-SER) measurements on bulk 65-nm static random access memories (SRAMs) during deuterium-deuterium (D-D) plasma operation at W-tungsten–Environment in Steady-state Tokamak (WEST). The present measurement campaign was characterized by the production of several tens of long pulse discharges (~60 s) and by a total neutron fluence (at the level of the circuits under test) up to ~109 ncm2 , improving the error statistics by a factor of more than 6 with respect to the first measurements obtained in 2020. [...]
2024 - 7 p. - Published in : IEEE Trans. Nucl. Sci.

In : Conference on Radiation and its Effects on Components and Systems (RADECS 2023), Toulouse, France, 25 - 29 Sep 2023, pp.1496-1502
2.
Plastic Scintillator Dosimetry of Ultrahigh Dose-Rate 200 MeV Electrons at CLEAR / Hart, Alexander (Victoria U.) ; Giguère, Cloé (Laval U.) ; Bateman, Joseph (Oxford U.) ; Korysko, Pierre (Oxford U.) ; Farabolini, Wilfrid (CERN) ; Rieker, Vilde (CERN ; Oslo U.) ; Esplen, Nolan (Victoria U.) ; Corsini, Roberto (CERN) ; Dosanjh, Manjit (Oxford U.) ; Beaulieu, Luc (Laval U.) et al.
Very-high-energy electron (VHEE) beams with energies greater than 100 MeV may be promising candidates for FLASH radiotherapy due to their favorable dose distributions and accessibility of ultrahigh dose rates (UHDRs). Combining VHEE with the normal tissue-sparing FLASH effect of UHDR radiotherapy could improve patient outcomes. [...]
2024 - 9 p. - Published in : IEEE Sensors J. 24 (2024) 14229-14237
3.
Approximate Model Predictive Control of Switched Affine Systems Using Multitask Learning with Safety and Stability Guarantees / Ghawash, Faiq (Norwegian U. Sci. Tech.) ; Hovd, Morten (Norwegian U. Sci. Tech.) ; Schofield, Brad (CERN)
We study the problem of designing an approximate model predictive control (MPC) for discrete time switched affine systems. The MPC design for the switched affine system requires an online solution of a mixed integer program. [...]
2023 - 8 p. - Published in : 10.1109/CDC49753.2023.10383894
In : 62nd IEEE Conference on Decision and Control (CDC 2023), Singapore, Singapore, 13 - 15 Dec 2023, pp.4903-4910
4.
The Real-Time System for Distribution of Clock, Control and Monitoring Commands With Fixed Latency of the LHCb Experiment at CERN / Feo, Mauricio (CERN) ; Alessio, Federico (CERN) ; Durante, Paolo (CERN) ; Granado Cardoso, Luís (CERN) ; Vouters, Guillaume (Annecy, LAPP)
The Large Hadron Collider beauty (LHCb) experiment has gone through a major upgrade for LHC Run 3 at European Organization for Nuclear Research (CERN), scheduled to start in the middle of 2022. The entire readout system of the experiment has been replaced by front-end and back-end electronics that are able to record LHC events at the full LHC bunch crossing rate of 40 MHz. [...]
2023 - 8 p. - Published in : IEEE Trans. Nucl. Sci. 70 (2023) 985-992
In : 23rd IEEE Real Time Conference (RT2022), Online, 1 - 5 Aug 2022, pp.985-992
5.
Data Preparation And Optimization For Real Time Track Reconstruction On The ATLAS HTT PRM Board / Axiotis, Konstantinos (Geneva U. ; CERN) /ATLAS TDAQ Collaboration
Custom hardware boards for pattern recognition have been developed for the fast reconstruction of charged particle tracks at the ATLAS experiment for the High-Luminosity LHC upgrade. The Pattern Recognition Mezzanine (PRM), part of the Hardware Tracking for the Trigger system, is one of the boards where track fitting and track reconstruction is being performed using linearized algorithms in an Intel Stratix 10MX FPGA. [...]
2023 - 4 p. - Published in : 10.1109/MOCAST57943.2023.10176377
In : MOCAST 2023, Athens, Greece, 28 - 30 Jun 2023
6.
Ultra narrowband detection scheme for dark photon / axion around 30 GHz / Miyazaki, A (Uppsala U.) ; Lofnes, T (Uppsala U.) ; Caspers, F (ESI, Archamps ; CERN) ; Spagnolo, P (INFN, Pisa) ; Jelonnek, J (KIT, Karlsruhe) ; Ruess, T (KIT, Karlsruhe) ; Steinmann, J L (KIT, Karlsruhe) ; Thumm, M (KIT, Karlsruhe)
We demonstrated that ultra narrowband filtering at 30 GHz dramatically enhances the signal-to-noise ratio to search for dark matter candidates which couple to millimeter waves. [...]
2022. - 1 p.
7.
Classification With Unimodular Matrices In Hybrid Models / Pasquali, Dominic (UC, Santa Cruz ; CERN)
Guessing the architecture of a variational quantum circuit can be fraught with error, since determining the correct locations and types of parameterized quantum gates is often an empirical task. This work demonstrates that using a general parameterized unimodular matrix achieves a higher classification accuracy faster than comparable classical models. [...]
2022 - 6 p. - Published in : 10.1109/SEC54971.2022.00063
In : 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC 2022), Seattle, Washington, United States, 5 - 8 Dec 2022, pp.420-425
8.
Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAs / Que, Zhiqiang (Imperial Coll., London) ; Loo, Marcus (Imperial Coll., London) ; Fan, Hongxiang (Imperial Coll., London) ; Pierini, Maurizio (CERN) ; Tapper, Alexander (Imperial Coll., London) ; Luk, Wayne (Imperial Coll., London)
This work proposes a novel reconfigurable architecture for reducing the latency of JEDI-net, a Graph Neural Network (GNN) based algorithm for jet tagging in particle physics, which achieves state-of-the-art accuracy. Accelerating JEDI-net is challenging since it requires low latency to deploy the network for event selection at the CERN Large Hadron Collider. [...]
2022 - 7 p. - Published in : 10.1109/FPL57034.2022.00057
In : 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL 2022), Belfast, United Kingdom, 29 Aug - 2 Sep 2022
9.
Unraveling Laser-Driven Ultrafast Plasma Dynamics Inside Solids / Shaikh, Moniruzzaman (Tata Inst.) ; Lad, Amit D (Tata Inst.) ; Jha, Jagannath (Tata Inst.) ; Sarkar, Deep (Tata Inst.) ; Tata, Sheroy (Tata Inst.) ; Chatterjee, Gourab (Tata Inst.) ; Dey, Indranuj (Tata Inst.) ; Jana, Kamalesh (Tata Inst.) ; Singh, Prashant K (Tata Inst.) ; Kumar, G Ravindra (Tata Inst.) et al.
Intense femtosecond lasers, focused on a solid surface, can accelerate ultrashort pulses of electrons to near-light speeds, launching megaampere currents into the solid material behind. Understanding the transport of these relativistic electrons through solids is central to many areas in laser-driven plasmas and their translational research, ranging from laser-driven fusion to the production of micro-accelerators for industrial and medical applications. [...]
2020 - 1 p. - Published in : (2020) , pp. 238
- Published in : (2020) , pp. 238
In : 2020 IEEE International Conference on Plasma Science, Singapore, Singapore, 6 - 10 Dec 2020
10.
Modelling High-Energy Physics Data Transfers / Bogado, Joaquin (UNLP, La Plata (main)) ; Monticelli, Fernando (UNLP, La Plata (main)) ; Diaz, Javier (UNLP, La Plata (main)) ; Lassnig, Mario (CERN) ; Vukotic, Ilija (U. Chicago (main))
In scientific data management systems like Rucio[1], the possibility to know when a file transfer is going to be finished at the moment of submission opens a wide range of opportunities to improve the schedule techniques actually being used, and therefore to optimize the use of the available resources. We developed a model that can predict the number of pending transfers in a file transfer system[2] queue at a given time, and therefore, with some level of confidence, the estimated time to complete for each transfer. [...]
2018 - 2 p. - Published in : 10.1109/eScience.2018.00081
In : 14th eScience IEEE International Conference, Amsterdam, Netherlands, 29 Oct - 1 Nov 2018, pp.334-335

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