2023-06-07
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2023-06-07
06:30 |
Status report of the n_TOF facility after the 2nd CERN long shutdown period
/ Patronis, N (Ioannina U. ; CERN) ; Mengoni, A (ENEA, Bologna ; INFN, Bologna) ; Goula, S (Ioannina U.) ; Aberle, O (CERN) ; Alcayne, V (Madrid, CIEMAT) ; Altieri, S (INFN, Pavia ; Brescia U. ; Pavia U.) ; Amaducci, S (INFN, Catania) ; Andrzejewski, J (Lodz U.) ; Babiano-Suarez, V (Valencia U., IFIC) ; Bacak, M (CERN) et al.
During the second long shutdown period of the CERN accelerator complex (LS2, 2019-2021), several upgrade activities took place at the n_TOF facility. The most important have been the replacement of the spallation target with a next generation nitrogen-cooled lead target. [...]
2023 - 10 p.
- Published in : EPJ Tech. Instrum. 10 (2023) 13
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2023-06-07
06:30 |
Quantum Convolutional Circuits for Earth Observation Image Classification
/ Chang, Su Yeon (CERN ; Ecole Polytechnique, Lausanne) ; Le Saux, Bertrand (European Space Agency) ; Vallecorsa, Sofia (CERN) ; Grossi, Michele (CERN)
The amount of study on Quantum Machine Learning (QML) is increasing extensively due to its potential advantages in terms of representational power and computational resources. These advances suggest a possibility to extend its usage into the context of Earth Observations, where Machine Learning (ML) plays an important role due to its extensive amount of data to be manipulated. [...]
2022 - 4 p.
- Published in : 10.1109/IGARSS46834.2022.9883992
In : IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, 17 - 22 Jul 2022, pp.4907-4910
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2023-06-07
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TDCpix pixel detector ASIC with 100 ps time stamping
/ Rinella, G Aglieri (CERN) ; Bonacini, S (CERN) ; Jarron, P (CERN) ; Kaplon, J (CERN) ; Kluge, A (CERN) ; Martin Albarran, E (CERN) ; Morel, M (CERN) ; Noy, M (CERN) ; Perktold, L (CERN) ; Perrin-Terrin, M (CERN) et al.
The TDCpix pixel read-out ASIC contains 1800 pixels arranged in 40 columns and 45 rows with the dimension of 300μm x 300μm. Each pixel contains a preamplifier and shaper circuit with a dynamic range of 0.8 to 10 fC and a rise time of 5 ns, followed by a Leading-Edge discriminator with Time-over-Threshold correction. [...]
2023 - 18 p.
- Published in : Nucl. Instrum. Methods Phys. Res., A 1053 (2023) 168331
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2023-06-07
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Investigating radioactive negative ion production via double electron capture
/ Nichols, M (Goteborg, ITP) ; Athanasakis-Kaklamanakis, M (CERN ; Leuven U.) ; Borschevsky, A (Groningen U.) ; Cocolios, T E (Leuven U.) ; Crosa-Rossa, R (Groningen U.) ; de Groote, R P (Leuven U.) ; Flanagan, K T (Manchester U.) ; Ruiz, R F Garcia (MIT) ; Geldhof, S (Leuven U.) ; Hanstorp, D (Goteborg, ITP) et al.
The relative cross sections for radioactive negative ion production via double electron capture have been measured for collisions between a 40 keV projectile beam of uranium-238 and potassium vapor. This was performed at the collinear resonance ionization spectroscopy (CRIS) experiment at CERN-ISOLDE and is a step towards measuring the electron affinities (EAs) of elements that cannot be efficiently produced in negative ion sources at radioactive ion beam (RIB) facilities. [...]
2023 - 4 p.
- Published in : Nucl. Instrum. Methods Phys. Res., B 541 (2023) 264-267
Fulltext: PDF;
In : 19th International Conference on Electromagnetic Isotope Separators and Related Topics (EMIS 2022), Daejeon, Korea, 3 - 7 Oct 2022, pp.264-267
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2023-06-07
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2023-06-07
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Early prototyping and testing of CERN LHC CMS high-granularity calorimeter slow-control system
/ Rosado, Martim (CERN ; Lisbon, IST) ; Mallios, Stavros (CERN) ; Tomás, Pedro (Lisbon, IST) ; Roma, Nuno (Lisbon, IST) ; David, André (CERN)
/CMS Collaboration
The Compact Muon Solenoid (CMS) high-granularity calorimeter (HGCAL) upgrade for CERN's Large Hadron Collider (LHC) high-luminosity phase is a detector with more than 6 million channels that will provide precise sensing and measurement of position, timing, and energy of the particles produced in the collisions of the beams. The HGCAL electronics are a large and complex set of processing systems split into front-end and back-end. [...]
2022 - 7 p.
- Published in : 10.1109/RSP57251.2022.10039014
In : 33rd International Workshop on Rapid System Prototyping : Shortening the Path from Specification to Prototype (RSP 2022), Online, 13 Oct 2022, pp.36-42
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2023-06-07
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Caching for dataset-based workloads with heterogeneous file sizes
/ Chuchuk, Olga (CERN ; INRIA, Sophia Antipolis) ; Neglia, Giovanni (INRIA, Sophia Antipolis) ; Schulz, Markus (CERN) ; Duellmann, Dirk (CERN)
Caching can effectively reduce the cost of serving content and improve the user experience. In this paper, we explore the benefits of caching for existing scientific workloads, taking the Worldwide LHC (Large Hadron Collider) Computing Grid as an example. [...]
2022 - 18 p.
- Published in : PoS ISGC2022 (2022) 009
Fulltext: PDF;
In : International Symposium on Grids & Clouds (ISGC 2022), Taipei, Taiwan, 21 - 25 Mar 2022, pp.009
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2023-06-07
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2023-06-07
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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
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