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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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2.
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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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5 p.
Fulltext
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4.
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5.
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Polyglot Jet Finding
/ Stewart, Graeme Andrew (CERN) ; Gras, Philippe (IRFU, Saclay) ; Hegner, Benedikt (CERN) ; Krasnopolski, Atell (Taras Shevchenko U.)
The evaluation of new computing languages for a large community, like HEP, involves comparison of many aspects of the languages' behaviour, ecosystem and interactions with other languages. In this paper we compare a number of languages using a common, yet non-trivial, HEP algorithm: the \akt clustering algorithm used for jet finding. [...]
arXiv:2309.17309.-
2024 - 9 p.
- Published in : EPJ Web Conf. 295 (2024) 05017
Fulltext: document - PDF; 2309.17309 - PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.05017
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6.
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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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7.
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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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8.
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EDM4hep - a common event data model for HEP experiments
/ Gaede, Frank (DESY) ; Madlener, Thomas (DESY) ; Declara Fernandez, Placido (CERN) ; Ganis, Gerardo (CERN) ; Hegner, Benedikt (CERN) ; Helsens, Clement (KIT, Karlsruhe) ; Sailer, Andre (CERN) ; A Stewart, Graeme (CERN) ; Voelkl, Valentin (CERN)
A shared, common event data model, EDM4hep, is an integral part of the Key4hep
project. EDM4hep aims to be usable by all future collider projects, despite
their different collision environments and the different detector technologies
that are under discussion. [...]
2022 - 6 p.
- Published in : PoS: ICHEP2022, pp. 1237
Fulltext: PDF;
In : 41st International Conference on High Energy Physics (ICHEP 2022), Bologna, Italy, 6 - 13 Jul 2022, pp.1237
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9.
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Potential of the Julia programming language for high energy physics computing
/ Eschle, Jonas (U. Zurich (main)) ; Gál, Tamás (Erlangen - Nuremberg U., Theorie III) ; Giordano, Mosè (Imperial Coll., London) ; Gras, Philippe (IRFU, Saclay) ; Hegner, Benedikt (CERN) ; Heinrich, Lukas (Munich, Max Planck Inst.) ; Hernandez Acosta, Uwe (HZDR, Dresden) ; Kluth, Stefan (Munich, Max Planck Inst.) ; Ling, Jerry (Harvard U.) ; Mato, Pere (CERN) et al.
Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong constraints on the code speed and resource usage. To meet these requirements, a compiled high-performance language is typically used; while for physicists, who focus on the application when developing the code, better research productivity pleads for a high-level programming language [...]
arXiv:2306.03675.-
2023-10-05 - 24 p.
- Published in : Comput. Softw. Big Sci. 7 (2023) 10
Fulltext: document - PDF; 2306.03675 - PDF;
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Annual Report 2022
/ Aglieri, Gianluca
This report summarises the activities and main achievements of the CERN strategic R&D programme on technologies for future experiments during the year 2022
CERN-EP-RDET-2023-002
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100.
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