Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32083
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dc.contributor.authorLawrence, D-
dc.contributor.authorePIC Collaboration-
dc.contributor.authorTeodorescu, L-
dc.coverage.spatialNorfolk, Virginia, USA-
dc.date.accessioned2025-09-30T18:27:23Z-
dc.date.available2025-09-30T18:27:23Z-
dc.date.issued2024-05-06-
dc.identifierORCiD: Liliana Teodorescu https://orcid.org/0000-0002-6974-6201-
dc.identifierArticle number: 03011-
dc.identifier.citationLawrence, D. on behalf of the ePIC Collaboration (2024) 'EIC Software Overview', EPJ Web of Conferences, 295, 03011, pp. 1 - 7. doi: 10.1051/epjconf/202429503011.en_US
dc.identifier.issn2101-6275-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/32083-
dc.description.abstractDevelopment of the EIC project detector "ePIC" is now well underway and this includes the "single software stack" used for simulation and reconstruction. The stack combines several non-experiment-specific packages including ACTS, DD4hep, JANA2, and PODIO. The software stack aims to be forward looking in the era of AI/ML and heterogeneous hardware. A formal decision making process was implemented to choose the components that involved everyone in the collaboration that was interested. This talk will present an overview of the software stack currently used for development of the ePIC detector and on which we expect to execute the experiment.en_US
dc.description.sponsorshipThis material is based upon work supported, in part, by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics under contract DE-AC05-06OR23177.en_US
dc.format.extent1 - 7-
dc.language.isoen_USen_US
dc.publisherEDP Sciences,en_US
dc.rightsCreative Commons Attribution License 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.source26th International Conference on Computing in High Energy and Nuclear Physics (CHEP) 2023-
dc.source26th International Conference on Computing in High Energy and Nuclear Physics (CHEP) 2023-
dc.titleEIC Software Overviewen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1051/epjconf/202429503011-
dc.relation.isPartOfEPJ Web of Conferences-
pubs.finish-date2023-05-12-
pubs.finish-date2023-05-12-
pubs.publication-statusPublished-
pubs.start-date2023-05-08-
pubs.start-date2023-05-08-
pubs.volume295-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dc.rights.holderThe Authors-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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