CERN Accelerating science

CERN Document Server 303 ჩანაწერია ნაპოვნი  1 - 10შემდეგიდასასრული  ჩანაწერთან გადასვლა: ძიებას დასჭირდა 0.73 წამი. 
1.
Software-defined control of integrated QKD and classical optical networks / Andriolli, N (INFN, Pisa ; Pisa, IFAM) ; Paolini, E (Pisa, IFAM ; Pisa, Scuola Normale Superiore ; CERN) ; Brunero, M (Unlisted, IT) ; Martelli, P (Milan, Polytech.) ; Gatto, A (Milan, Polytech.) ; Ferrari, M (Pisa, IFAM) ; Giorgetti, A (INFN, Pisa ; Pisa, IFAM)
Quantum Key Distribution (QKD) ensures secure communication through quantum mechanics principles, countering potential threats posed by quantum computers to classical encryption schemes. [...]
2024 - 4.
2.
Quench Protection of the Fusillo Demonstrator Curved CCT Magnet / Wozniak, M (CERN) ; Devred, A (CERN) ; Ferriere, R (CERN) ; Geuzaine, C (Liege U.) ; Haziot, A (CERN) ; Kirby, G (CERN) ; Ravaioli, E (CERN) ; Verweij, A (CERN)
A quench protection study was performed on the Fusillo Demonstrator Curved Canted Cosine Theta (CCCT) dipole magnet developed at CERN. This magnet features an aperture of 236 mm and a bending radius and angle of 1 m and 90 degrees, respectively. [...]
2025 - 6 p. - Published in : IEEE Trans. Appl. Supercond. 35 (2025) 4902006 Fulltext: PDF;
In : Applied Superconductivity Conference (ASC 2024), Salt Lake City, Utah, United States, 1 - 6 Sep 2024, pp.4902006
3.
Investigating Data Access Models for ATLAS: A Case Study with FABRIC Across Borders and ServiceX / Vukotic, Ilija (University of Chicago (US)) ; Bryant, Lincoln (University of Chicago (US)) ; Hu, Fengping (University of Chicago (US)) ; Gardner Jr, Robert William (University of Chicago (US)) ; Mc Kee, Shawn (University of Michigan (US)) ; Stephen, Judith Lorraine (University of Chicago (US)) ; Jordan, David Allen (University of Chicago (US))
This study explores enhancements in analysis speed, WAN bandwidth efficiency, and data storage management through an innovative data access strategy [...]
ATL-SOFT-PROC-2025-040.
- 2025 - 7.
Original Communication (restricted to ATLAS) - Full text
4.
Building Scalable Analysis Infrastructure for ATLAS / Gardner Jr, Robert William (University of Chicago (US)) ; Lancon, Eric (Brookhaven National Laboratory (US)) ; Vukotic, Ilija (University of Chicago (US)) ; Bryant, Lincoln (University of Chicago (US)) ; Golnaraghi, Farnaz (University of Chicago (US)) ; Stephen, Judith Lorraine (University of Chicago (US)) ; Taylor, Ryan (University of Victoria (CA)) ; Hu, Fengping (University of Chicago (US)) /ATLAS Collaboration
We explore the adoption of cloud-native tools and principles to forge flexible and scalable infrastructures, aimed at supporting analysis frameworks being developed for the ATLAS experiment in the High Luminosity Large Hadron Collider (HL-LHC) era. The project culminated in the creation of a federated platform, integrating Kubernetes clusters from various providers such as Tier-2 centers, Tier-3 centers, and from the IRIS-HEP Scalable Systems Laboratory, a National Science Foundation project. [...]
ATL-SOFT-SLIDE-2024-560.- Geneva : CERN, 2024 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
5.
Investigating Data Access Models for ATLAS: A Case Study with FABRIC Across Borders and ServiceX / Vukotic, Ilija (University of Chicago (US)) ; Bryant, Lincoln (University of Chicago (US)) ; Gardner Jr, Robert William (University of Chicago (US)) ; Mc Kee, Shawn (University of Michigan (US)) ; Stephen, Judith Lorraine (University of Chicago (US)) ; Jordan, David Allen (University of Chicago (US)) /ATLAS Collaboration
This study explores enhancements in analysis speed, WAN bandwidth efficiency, and data storage management through an innovative data access strategy. The proposed model introduces specialized ‘delivery’ services for data preprocessing, which include filtering and reformatting tasks executed on dedicated hardware located alongside the data repositories at CERN’s Tier-0, Tier-1, or Tier-2 facilities. [...]
ATL-SOFT-SLIDE-2024-547.- Geneva : CERN, 2024 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
6.
ATLAS HL-LHC Demonstrators with Data Carousel: Data-on-Demand and Tape Smart Writing / Borodin, Misha (University of Iowa (US)) ; Klimentov, Alexei (Brookhaven National Laboratory (US)) ; Korchuganova, Tatiana (University of Pittsburgh (US)) ; Lassnig, Mario (CERN) ; Leduc, Julien (CERN) ; Maeno, Tadashi (Brookhaven National Laboratory (US)) ; Musheghyan, Haykuhi (Georg August Universitaet Goettingen (DE)) ; Zhao, Xin (Brookhaven National Laboratory (US)) ; Ressmann, Doris (FZK) /ATLAS Collaboration
The High Luminosity upgrade to the LHC (HL-LHC) is expected to generate scientific data on the scale of multiple exabytes. To tackle this unprecedented data storage challenge, the ATLAS experiment initiated the Data Carousel project in 2018. [...]
ATL-SOFT-SLIDE-2024-546.- Geneva : CERN, 2024 - 14 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
7.
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization / Wulff, Eric (CERN) ; Garcia Amboage, Juan Pablo (CERN) ; Aach, Marcel (Julich, Forschungszentrum ; Iceland U.) ; Gislason, Thorsteinn Eli (Iceland U.) ; Ingolfsson, Thorsteinn Kristinn (Iceland U.) ; Ingolfsson, Tomas Kristinn (Iceland U.) ; Pasetto, Edoardo (Julich, Forschungszentrum ; RWTH Aachen U.) ; Delilbasic, Amer (Julich, Forschungszentrum ; Iceland U.) ; Riedel, Morris (Julich, Forschungszentrum ; Iceland U.) ; Sarma, Rakesh (Julich, Forschungszentrum) et al.
Hyperparameter optimization (HPO) of neural networks is a computationally expensive procedure, which requires a large number of different model configurations to be trained. To reduce such costs, this work presents a distributed, hybrid workflow, that runs the training of the neural networks on multiple graphics processing units (GPUs) on a classical supercomputer, while predicting the configurations’ performance with quantum-trained support vector regression (QT-SVR) on a quantum annealer (QA). [...]
2024 - 14 p. - Published in : Quantum Machine Intelligence 6 (2024) 59 Fulltext: PDF;
8.
Improving the Rucio CLI experience with Rich / Banzuzi, Eric Pauli Petteri (CERN)
This report covers my contribution to the Rucio project over the period I stayed at CERN. [...]
CERN-STUDENTS-Note-2024-062.
- 2024
Access to fulltext
9.
Enabling Julia code to run at scale with artefact caching / Aguero Vera, Elvis Alexander
The Julia programming language, which has evolved into a mature tool for scientific computing over the past decade, offers high-level capabilities with just-in-time (JIT) compilation and efficient garbage collection. [...]
CERN-STUDENTS-Note-2024-011.
- 2024
Access to fulltext
10.
Quench Protection of Fusillo Subscale Curved CCT Magnet / Wozniak, M (CERN) ; Haziot, A (CERN) ; Mangiarotti, F J (CERN) ; Ravaioli, E (CERN) ; Ferriere, R (CERN) ; Guardia-Valenzuela, Jorge (CERN) ; Foussat, A P (CERN) ; Kirby, G (CERN) ; Verweij, A (CERN)
The Fusillo project at CERN aims to design and build a demonstrator magnet with multi-harmonic corrected fields in a 90° curved CCT magnet. In the first stage, a subscale magnet is built with 30° bending, about 1/30 of the demonstrator conductor length, and increased current to reach coil stresses equivalent to the demonstrator. [...]
2024 - 5 p. - Published in : IEEE Trans. Appl. Supercond. 34 (2024) 4702805 Fulltext: PDF;

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