CERN Accelerating science

CERN Document Server 97 záznamov nájdených  1 - 10ďalšíkoniec  skoč na záznam: Hľadanie trvalo 0.53 sekúnd. 
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DIRAC current, upcoming and planned capabilities and technologies / Stagni, Federico (CERN) ; Boyer, Alexandre (CERN) ; Tsaregorodtsev, Andrei (Marseille, CPPM) ; Lytovchenko, Andrii (Paris, IN2P3) ; Sailer, André (CERN) ; Haen, Christophe (CERN) ; Burr, Christopher (CERN) ; Bauer, Daniela (Imperial Coll., London) ; Fayer, Simon (Imperial Coll., London) ; Martyniak, Janusz (Imperial Coll., London) et al.
DIRAC is the interware for building and operating large scale distributed computing systems. It is adopted by multiple collaborations from various scientific domains for implementing their computing models. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 04018 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.04018
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First Look at Particle Flow in a LAr Calorimeter Using Pandora in the Key4hep Framework / Sasikumar, Swathi (CERN) ; Sailer, Andre (CERN) ; Francois, Brieuc (CERN)
Future detector studies rely on advanced software tools for performance estimation and design optimization. [...]
CERN-EP-RDET-2024-003 ; PoS 1142.
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Towards podio v1.0 - A first stable release of the EDM toolkit / Carceller, Juan Miguel (CERN) ; Gaede, Frank (DESY) ; Ganis, Gerardo (CERN) ; Hegner, Benedikt (CERN) ; Helsens, Clement (CERN ; KIT, Karlsruhe, IPE) ; Madlener, Thomas (DESY) ; Sailer, André (CERN) ; Stewart, Graeme A. (CERN) ; Volkl, Valentin (CERN)
A performant and easy-to-use event data model (EDM) is a key component of any HEP software stack. The podio EDM toolkit provides a user friendly way of generating such a performant implementation in C++ from a high level description in yaml format. [...]
arXiv:2312.08206.- 2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 06018 Fulltext: document - PDF; 2312.08206 - PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.06018
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Of Frames and schema evolution -- The newest features of podio / Fernandez Declara, Placido (CERN) ; Gaede, Frank (DESY) ; Ganis, Gerardo (CERN) ; Hegner, Benedikt (CERN) ; Helsens, Clement (KIT, Karlsruhe) ; Madlener, Thomas (DESY) ; Sailer, Andre (CERN) ; Stewart, Graeme A. (CERN) ; Volkl, Valentin (CERN)
The podio event data model (EDM) toolkit provides an easy way to generate a performant implementation of an EDM from a high level description in yaml format. [...]
arXiv:2312.08199.
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Annual Report 2023 and Phase-I Closeout / Aglieri Rinella, Gianluca
This report summarises the activities of the CERN strategic R&D programme on technologies for future experiments during the year 2023, and highlights the achievements of the programme during its first phase 2020-2023..
CERN-EP-RDET-2024-001 - 208.

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Focus topics for the ECFA study on Higgs / Top / EW factories / de Blas, Jorge (Granada U.) ; Koppenburg, Patrick (Nikhef, Amsterdam) ; List, Jenny (DESY) ; Maltoni, Fabio (Louvain U.) ; Maestre, Juan Alcaraz (Madrid, CIEMAT) ; Alimena, Juliette (DESY) ; Alison, John (Carnegie Mellon U.) ; Azzi, Patrizia (INFN, Padua) ; Azzurri, Paolo (INFN, Pisa) ; Bagnaschi, Emanuele (CERN ; INFN, Italy) et al.
In order to stimulate new engagement and trigger some concrete studies in areas where further work would be beneficial towards fully understanding the physics potential of an $e^+e^-$ Higgs / Top / Electroweak factory, we propose to define a set of focus topics. [...]
arXiv:2401.07564.
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The Key4hep software stack: Beyond Future Higgs factories / Key4hep Collaboration
The Key4hep project aims to provide a turnkey software solution for the full experiment lifecycle, based on established community tools. [...]
arXiv:2312.08151.
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Key4hep: Progress Report on Integrations / Key4hep Collaboration
Detector studies for future experiments rely on advanced software tools to estimate performance and optimize their design and technology choices. The Key4hep project provides a flexible turnkey solution for the full experiment life-cycle based on established community tools such as ROOT, Geant4, DD4hep, Gaudi, podio and spack. [...]
arXiv:2312.08152.- 2024 - 9 p. - Published in : EPJ Web Conf. 295 (2024) 05010 Fulltext: document - PDF; 2312.08152 - PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.05010
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Key4hep Software Stack for Detector Studies / Fang, Wenxing (Beijing, Inst. High Energy Phys.) ; Fernandez Declara, Placido (CERN) ; Gaede, Frank-Dieter (DESY) ; Ganis, Gerardo (CERN) ; Hegner, Benedikt (CERN) ; Helsens, Clement (CERN) ; Huang, Xingtao (Shandong U.) ; Hyun Ko, Sang (Seoul Natl. U.) ; Madlener, Thomas (DESY) ; Li, Teng (Shandong U.) et al.
Detector optimisation and physics performance studies are an integral part of the development of future collider experiments. The Key4hep project aims to design a common set of software tools for future, or even present, High Energy Physics projects. [...]
2023 - 6 p. - Published in : J. Phys. : Conf. Ser. 2438 (2023) 012049 Fulltext: PDF;
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012049
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The Key4hep turnkey software stack / Völkl, Valentin (CERN) ; Fernandez, Placido Declara (CERN) ; Ganis, Gerardo (CERN) ; Hegner, Benedikt (CERN) ; Helsens, Clement (CERN) ; Sailer, Andre (CERN) ; Brondolin, Erica (CERN) ; Stewart, Graeme A (CERN) ; Smiesko, Juraj (CERN) ; Gaede, Frank (DESY) et al.
Detector studies for future experiments rely on advanced software tools to estimate performance and optimize their design and technology choices. The Key4hep project provides a turnkey solution for the full experiment life-cycle based on established community tools such as ROOT, Geant4, DD4hep, Gaudi, PODIO and Spack. [...]
2022 - 4 p. - Published in : PoS ICHEP2022 (2022) 234 Fulltext: PDF;
In : 41st International Conference on High Energy Physics (ICHEP 2022), Bologna, Italy, 6 - 13 Jul 2022, pp.234

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