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CERN Document Server	294 のレコードが見つかりました。 1 - 10 レコードへジャンプ：	検索にかかった時間： 0.78 秒

CHEP 2023: Preface to the Proceedings / Sawatzky, Brad (Jefferson Lab) ; Boehnlein, Amber (Jefferson Lab) ; Heyes, Graham (Jefferson Lab) ; De Vita, Raffaella (Jefferson Lab ; INFN, Italy) ; Espinal, Xavier (CERN) ; Laycock, Paul (Brookhaven) ; Shadura, Oksana (Nebraska U.)
The 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP), organized by Jefferson Lab, took place in Norfolk, Virginia from 5–11 May 2023. The conference attracted 581 registered participants from 28 different countries. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 00001 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.00001

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Tier-0 in the HL-LHC Era / Bell, Tim (CERN) ; Espinal, Xavier (CERN) ; Salter, Wayne (CERN) ; Panzer-Steindel, Bernd (CERN)
The Prevessin Computer Centre provides additional capabilities for the CERN computing infrastructure including the Tier-0. [...]
CERN-IT-Note-2024-007. - 2024. - 7 p.
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RCS-ICT PSO Consolidation and Integration of CERN-IT Collaborative Tools / Marshall, Zach (Lawrence Berkeley National Lab. (US)) ; Grancher, Eric (CERN) ; Gonzalez Labrador, Hugo (CERN) ; Mato Vila, Pere (CERN) ; Espinal, Xavier (CERN)
Consolidation and integration in key areas of the catalogue of services offered for collaborative work..
CERN-IT-Note-2024-005. - 2023.
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The value of Open Science collaborations in Scientific Computing / Espinal, Xavier (speaker) (CERN)
2024 - 2480. HEP Computing; CS3 2024 - Cloud Storage Synchronization and Sharing External links: Talk details; Event details In : CS3 2024 - Cloud Storage Synchronization and Sharing

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The Virtual Research Environment: A multi-science analysis platform / Gazzarrini, Elena (CERN) ; Garcia Garcia, Enrique (CERN) ; Gosein, Domenic (CERN ; Mannheim U.) ; Moya, Alba Vendrell (CERN) ; Kounelis, Agisilaos (CERN ; Patras U.) ; Espinal, Xavier (CERN)
The Virtual Research Environment is an analysis platform developed at CERN serving the needs of scientific communities involved in European Projects. Its scope is to facilitate the development of end-to-end physics workflows, providing researchers with access to an infrastructure and to the digital content necessary to produce and preserve a scientific result in compliance with FAIR principles. [...]
arXiv:2305.10166.- 2024 - 9 p. - Published in : EPJ Web Conf. 295 (2024) 08023 Fulltext: document - PDF; 2305.10166 - PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.08023

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ESCAPE - addressing Open Science challenges / Allen, Mark G. (Strasbourg Observ.) ; Lamanna, Giovanni (Annecy, LAPP) ; Espinal, Xavier (CERN) ; Graf, Kay (Erlangen - Nuremberg U., ECAP) ; van Haarlem, Michiel (ASTRON, Dwingeloo) ; Serjeant, Stephen (Open U., England) ; Bird, Ian (Annecy, LAPP) ; Cuoco, Elena (Pisa, Scuola Normale Superiore) ; Wagh, Jayesh (Annecy, LAPP)
ESCAPE (European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures) is an EU H2020 project that addresses the Open Science challenges shared by the astrophysics and and accelerator-based physics and nuclear physics ESFRI projects and landmarks. This project is embedded in the context of the European Open Science Cloud (EOSC) and involves activities to develop a prototype Data Lake and Science Platform, as well as support of an Open Source Software Repository, connection of the Virtual Observatory framework to EOSC, and engaging the public in citizen science. [...]
arXiv:2012.11534.- 2022 - 4 p. - Published in : Astron. Soc. Pac. Conf. Proc.: 532 (2022) , pp. 113 Fulltext: PDF; External link: Astronomical Society of the Pacific
In : 30th Astronomical Data Analysis Software and Systems, Granada, Spain, 8 - 12 Nov 2020, pp.113

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A Scientific Data Lake for Open Science / Espinal, Xavier (CERN)
A common set of tools is being adopted by different and multi-disciplinary scientific communities to establish a coherent orchestration layer for the Research Infrastructures (RI) and for the sites providing resources to one or many of these RIs. [...]
CERN-IT-Note-2022-004. - 2021. - 6 p.
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Report from the Working Group on Strengthening the Support for Users at CERN / Krammer, Manfred (CERN) ; Biino, Cristina (Universita e INFN Torino (IT)) ; Carvalho, Louise (CERN) ; Duperrier, Gaelle (CERN) ; Espinal, Xavier (CERN) ; Grassi, Alba (CERN) ; Gregorio, Dante (CERN) ; Haug, Ingrid (CERN) ; Hauschild, Michael (Deutsches Elektronen-Synchrotron (DE)) ; Lejeune, Laetitia (CERN) et al.
Report from the Working Group on Strengthening the Support for Users at CERN
CERN-EP-Note-2022-002. - 2022.
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Prototype of the Russian Scientific Data Lake / Alekseev, Aleksandr (Moscow State U. ; Moscow, INR ; Andres Bello Natl. U.) ; Espinal, Xavier (CERN) ; Jezequel, Stephane (Annecy, LAPP) ; Kiryanov, Andrey (Moscow State U. ; St. Petersburg, INP) ; Klimentov, Alexei (Brookhaven) ; Korchuganova, Tatiana (Moscow State U. ; Moscow, INR ; Andres Bello Natl. U.) ; Mitsyn, Valeri (Dubna, JINR) ; Oleynik, Danila (Moscow State U. ; Dubna, JINR) ; Smirnov, Alexander (Moscow State U. ; Moscow Phys. Eng. Inst.) ; Smirnov, Sergei (Moscow Phys. Eng. Inst.) et al.
The High Luminosity phase of the LHC, which aims for a tenfold increase in the luminosity of proton-proton collisions is expected to start operation in eight years. An unprecedented scientific data volume at the multiexabyte scale will be delivered to particle physics experiments at CERN. [...]
2021 - 10 p. - Published in : EPJ Web Conf. 251 (2021) 02031 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02031

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ESCAPE prototypes a data infrastructure for open science / Bolton, Rosie (CERN) ; Campana, Simone (CERN) ; Ceccanti, Andrea (INFN, CNAF) ; Espinal, Xavier (CERN) ; Fkiaras, Aristeidis (CERN) ; Fuhrmann, Patrick (DESY) ; Grange, Yan (ASTRON, Dwingeloo)
The European-funded ESCAPE project will prototype a shared solution to computing challenges in the context of the European Open Science Cloud. It targets Astronomy and Particle Physics facilities and research infrastructures and focuses on developing solutions for handling Exabyte scale datasets. [...]
2020 - 7 p. - Published in : EPJ Web Conf. 245 (2020) 04019 Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.04019

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