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CERN Document Server 1,673 records found  1 - 10nextend  jump to record: Search took 0.52 seconds. 
1.
Autoencoder-based time series anomaly detection for ATLAS Liquid Argon calorimeter data quality monitoring
This note introduces a prototype autoencoder-based algorithm designed to identify detector anomalies in ATLAS liquid argon calorimeter data. [...]
ATL-DAPR-PUB-2024-002. - 2024 - mult..
Original Communication (restricted to ATLAS) - Full text
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2.
n_TOF Detector Developments / Patronis, Nikolas ; Aberle, Oliver ; Alcayne, Victor ; Alpar, Genevieve ; Al Halabi, Muaz ; Amaducci, Simone ; Babiano, Victor ; Bacak, Michael ; Balibrea-Correa, Javier ; Bartolomé, Jesús et al.
In this report, the ongoing developments of the n_TOF detectors are presented. The document describes the capabilities related to new research avenues and perspectives in new physics research with the n_TOF collaboration. [...]
n_TOF-PUB-2024-001; CERN-n_TOF-PUB-2024-001.- Geneva : CERN, 2024 - 10 p. Fulltext: PDF;
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3.
Evaluation of the Prototype Peripheral Electronics Board for the High Granularity Timing Detector / Ge, Zhenwu ; Zhang, Jie (Chinese Academy of Sciences (CN)) ; Zhang, Lei (Nanjing University (CN))
To mitigate the effects of pileup resulting from increased luminosity during the ATLAS Phase-II upgrade, the High Granularity Timing Detector (HGTD) was proposed to accurately measure the timing of tracks. [...]
ATL-HGTD-PROC-2024-003. - 2024 - 7.
Original Communication (restricted to ATLAS) - Full text
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4.
Enhancing timing performance of heterostructures with double-sided readout / Pagano, Fiammetta (CERN ; Milan Bicocca U. ; Valencia, Polytechnic U.) ; Kratochwil, Nicolaus (CERN ; UC, Davis) ; Lowis, Carsten (CERN ; RWTH Aachen U.) ; Choong, Woon-Seng (LBNL, Berkeley) ; Paganoni, Marco (CERN ; Milan Bicocca U.) ; Pizzichemi, Marco (CERN ; Milan Bicocca U.) ; Cates, Joshua W (LBNL, Berkeley) ; Auffray, Etiennette (CERN)
Objective. Heterostructured scintillators offer a promising solution to balance the sensitivity and timing in TOF-PET detectors. [...]
2024 - 13 p. - Published in : Phys. Med. Biol. 69 (2024) 205012 Fulltext: PDF;
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5.
Eleventh International Workshop on Semiconductor Pixel Detectors for Particles and Imaging - Pixel 2024   18 - 22 Nov 2024  - Strasbourg, Grand Est, Fr  / Arbor, N (ed.) (Université de Strasbourg); Andrea, J (ed.) (Université de Strasbourg); Besson, A (ed.) (Université de Strasbourg); Baudot, J (ed.) (Université de Strasbourg); Colledani, C (ed.) (Université de Strasbourg); Chabert, E (ed.) (Université de Strasbourg); El Bitar, Z (ed.) (Université de Strasbourg); Finck, C (ed.) (Université de Strasbourg); Hu-Guo, C (ed.) (Université de Strasbourg); Kachel, M (ed.) (Université de Strasbourg) et al.
2024
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6.
Advancements in the ATLAS Fast Chain for HL-LHC: Towards Efficient MC Production / Tsai, Fang-Ying (Stony Brook University (US)) /ATLAS Collaboration
The ATLAS Fast Chain represents a significant advancement in streamlining Monte Carlo (MC) production efficiency, specifically for the High-Luminosity Large Hadron Collider (HL-LHC). This project aims to simplify the production of Analysis Object Data (AODs) and potentially Derived Analysis Object Data (DAODs) from generated events with a single transform, facilitating rapid reproduction of the entire MC dataset multiple times per year. [...]
ATL-SOFT-SLIDE-2024-550.- Geneva : CERN, 2024 - 20 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
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7.
High Performance Graph Segmentation for ATLAS GNN Track Reconstruction / Murnane, Daniel Thomas (University of Copenhagen (DK)) ; Liu, Ryan (Lawrence Berkeley National Lab. (US)) ; Condren, Levi Harris Jaxon (University of California Irvine (US)) ; Vallier, Alexis (Centre National de la Recherche Scientifique (FR)) ; Whiteson, Daniel (University of California Irvine (US)) ; Lazar, Alina (Youngstown State University (US)) ; Ju, Xiangyang (Lawrence Berkeley National Lab. (US)) /ATLAS Collaboration
Graph neural networks and deep geometric learning have been successfully proven in the task of track reconstruction in recent years. The GNN4ITk project employs these techniques in the context of the ATLAS upgrade ITk detector to produce similar physics performance as traditional techniques, while scaling sub-quadratically. [...]
ATL-SOFT-SLIDE-2024-503.- Geneva : CERN, 2024 - 39 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
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8.
Enhancement of System Observability During System-Level Radiation Testing Through Total Current Consumption Monitoring / Slipukhin, Ivan (CERN) ; Coronetti, Andrea (CERN) ; Alía, Rubén García (CERN) ; Saigné, Frédéric (IES, Montpellier) ; Boch, Jérôme (IES, Montpellier) ; Dilillo, Luigi (IES, Montpellier) ; Aguiar, Ygor Q (CERN) ; Cazzaniga, Carlo ; Kastriotou, Maria ; Dodd, Torran
System-level testing of electronics is an affordable method of assessment of the performance of complete electronic systems designed for applications in the radiation environment. Compared to component-level testing, system-level test offers a much smaller degree of observability about the performance of particular system elements. [...]
2024 - 8 p. - Published in : IEEE Trans. Nucl. Sci.
Fulltext: PDF;
In : Conference on Radiation and its Effects on Components and Systems (RADECS 2023), Toulouse, France, 25 - 29 Sep 2023, pp.1948-1955
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9.
The CELESTA CubeSat In-Flight Radiation Measurements and Their Comparison With Ground Facilities Predictions / Coronetti, Andrea (CERN) ; Zimmaro, Alessandro (CERN) ; Alía, Rubén García (CERN) ; Danzeca, Salvatore (CERN) ; Masi, Alessandro (CERN) ; Slipukhin, Ivan (CERN) ; Amodio, Alessio (CERN) ; Dijks, Jasper (CERN) ; Peronnard, Paul (CERN) ; Secondo, Raffaello (CERN) et al.
The CELESTA CubeSat has employed radiation monitors developed by the Conseil Européen pour la Recherche Nucléaire (CERN) Centre, used for measuring the radiation environment at accelerators, to measure the space radiation field in a medium-Earth orbit (MEO). The technology is based on three static random-access memories (SRAMs) that are sensitive to single-event upsets (SEUs) and single-event latchups (SELs). [...]
2024 - 8 p. - Published in : IEEE Trans. Nucl. Sci.
Fulltext: PDF;
In : Conference on Radiation and its Effects on Components and Systems (RADECS 2023), Toulouse, France, 25 - 29 Sep 2023, pp.1623-1630
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10.
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 ~$10^9$ n$\cdot$cm$^2$ , 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
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