2025-05-31
06:51 |
Notice détaillée
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2025-05-31
06:51 |
Ammonium CI-Orbitrap: a tool for characterizing the reactivity of oxygenated organic molecules
/ Li, Dandan (Lyon, IPN) ; Wang, Dongyu (PSI, Villigen) ; Caudillo, Lucia (Frankfurt U., FIAS) ; Scholz, Wiebke ; Wang, Mingyi ; Tomaz, Sophie (Lyon, IPN) ; Marie, Guillaume (Frankfurt U., FIAS) ; Surdu, Mihnea (PSI, Villigen) ; Eccli, Elias ; Gong, Xianda et al.
Abstract. Oxygenated organic molecules (OOMs) play an important role in the formation of atmospheric aerosols [...]
2024 - 16 p.
- Published in : Atmos. Meas. Tech. 17 (2024) 5413-5428
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2025-05-30
04:54 |
Performance of the ALICE Inner Tracking System 2
/ Valle, Nicolo' (INFN, Pavia)
/ALICE Collaboration
The upgraded Inner Tracking System (ITS2) of the ALICE experiment at the CERN Large Hadron Collider is based on Monolithic Active Pixel Sensors (MAPS). With a sensitive area of about 10 $m^2$ and 12.5 billion pixels, ITS2 represents the largest pixel detector in high-energy physics. [...]
arXiv:2503.17233.-
2025-05-21
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2025-05-29
08:37 |
Evaluation of a Simplified Modeling Approach for SEE Cross-Section Prediction: A Case Study of SEU on 6T SRAM Cells
/ Marques, Cleiton M (IES, Montpellier) ; Wrobel, Frédéric (IES, Montpellier) ; Aguiar, Ygor Q (CERN) ; Michez, Alain (IES, Montpellier) ; Saigné, Frédéric (IES, Montpellier) ; Boch, Jérôme (IES, Montpellier) ; Dilillo, Luigi (IES, Montpellier) ; Alía, Rubén García (CERN)
Electrical models play a crucial role in assessing the radiation sensitivity of devices. However, since they are usually not provided for end users, it is essential to have alternative modeling approaches to optimize circuit design before irradiation tests, and to support the understanding of post-irradiation data. [...]
2024 - 16 p.
- Published in : Electronics 13 (2024) 1954
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2025-05-29
08:37 |
Synthesis and Local Characterization of CoO Nanoparticles in Distinct Phases: Unveiling Polymorphic Structures
/ Santos, Suzilene V (Para U.) ; Costa, Cleidilane S (Para U.) ; Paraguassu, Waldeci (Para U.) ; Silva, Crystian W C (IPEN, Sao Paulo) ; Otubo, Larissa (IPEN, Sao Paulo) ; Souza, Katiusse S (IPEN, Sao Paulo) ; Correa, Bruno S (IPEN, Sao Paulo) ; Miranda-Filho, Arnaldo A (IPEN, Sao Paulo) ; Ferreira, Wanderson L (IPEN, Sao Paulo)
The advancement of functional nanomaterials has become a major focus of recent research, driven by the exceptional properties these materials display compared to their macroscopic (bulk) counterparts. Cobalt oxide nanoparticles (CoO-NPs) stand out primarily for their catalytic and magnetic properties, which can enable a range of technological applications, such as advanced catalysts, drug delivery systems, implants, prosthetics, sensors. [...]
2024 - 12 p.
- Published in : ACS Omega 9 (2024) 42883-42894
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2025-05-29
08:37 |
Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis
/ Stathopoulos, Ioannis (CERN ; Athens Natl. Capodistrian U.) ; Stoklasa, Roman (Athens Natl. Capodistrian U. ; Masaryk U., Brno) ; Kouri, Maria Anthi (Athens Natl. Capodistrian U.) ; Velonakis, Georgios (Athens Natl. Capodistrian U.) ; Karavasilis, Efstratios (Democritus U., Thrace) ; Efstathopoulos, Efstathios (Athens Natl. Capodistrian U.) ; Serio, Luigi (Athens Natl. Capodistrian U.)
Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. While the performance of the state-of-the-art models is increasing, reaching radiologists and other experts’ accuracy levels in many cases, there is still a lot of research needed on the direction of in-depth and transparent evaluation of the correct results and failures, especially in relation to important aspects of the radiological practice: abnormality position, intensity level, and volume. [...]
2024 - 17 p.
- Published in : J. Imaging 11 (2024) 6
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2025-05-29
08:37 |
Measurement and Monte Carlo simulation of steel and copper activation at the CHARM and CSBF facilities at CERN
/ Bozzato, D (CERN) ; Devienne, A (CERN) ; Dyrcz, P (LBL, Berkeley) ; Froeschl, R (CERN) ; Infantino, A (CERN) ; Lorenzon, T (CERN ; Barcelona, Polytechnic U.) ; Menaa, N (CERN) ; Pozzi, F (CERN) ; Tisi, M (PSI, Villigen) ; Nakao, N (Tokyo Inst. Tech.) et al.
Prediction of residual radiation levels in particle accelerator facilities is crucial to ensure their safe and continuous operation over long periods of time. At the European Organization for Nuclear Research (CERN), radiological characterization studies of activated components in experimental areas and various machines within the accelerator complex are performed with Monte Carlo radiation transport codes. [...]
2025 - 7 p.
- Published in : Radiat. Phys. Chem. 236 (2025) 112879
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2025-05-29
08:37 |
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2025-05-29
08:37 |
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2025-05-29
08:37 |
Nanocrystalline Lead Halide Perovskites to Boost Time‐of‐Flight Performance of Medical Imaging Detectors
/ Pagano, Fiammetta (CERN ; Milan Bicocca U.) ; Král, Jan (CTU, Prague ; Prague, Inst. Phys.) ; Děcká, Kateřina (CTU, Prague ; Prague, Inst. Phys.) ; Pizzichemi, Marco (Milan Bicocca U. ; CERN) ; Mihóková, Eva (CTU, Prague ; Prague, Inst. Phys.) ; Čuba, Václav (CTU, Prague) ; Auffray, Etiennette (CERN)
AbstractTime‐of‐flight (TOF) technique, traditionally used in high energy physics (HEP) and positron emission tomography (PET), is now being explored for lower energy applications like computed tomography (CT). Regardless of the application, pushing the current boundaries in time resolution calls for novel technologies and materials exhibiting ultra‐fast time response. [...]
2024 - 8 p.
- Published in : 10.1002/admi.202300659
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