Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/12531
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dc.contributor.authorSekmen, S.-
dc.contributor.authorÜnel, G.-
dc.contributor.authorProsper, H.B.-
dc.contributor.authorFedyukovich, G.-
dc.contributor.authorRiley, D.-
dc.contributor.authorŞen, B.-
dc.contributor.authorBaşpehlivan, F.-
dc.date.accessioned2025-06-11T20:42:14Z-
dc.date.available2025-06-11T20:42:14Z-
dc.date.issued2025-
dc.identifier.issn1824-8039-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/12531-
dc.description.abstractWe present latest developments in Analysis Description Language (ADL), a declarative domain-specific language describing the physics algorithm of a HEP data analysis decoupled from software frameworks. Analyses written in ADL can be integrated into any framework for various tasks. ADL is a multipurpose construct with uses ranging from analysis design to preservation, reinterpretation, queries, visualisation, combination, etc. The most advanced infrastructure to execute ADL on events is the CutLang runtime interpreter. Recent technical developments include an automated interface with different data types, generation of the abstract syntax tree, a visualization tool that that auto-converts analysis flows to graphs, incorporation of trained machine learning models and a Jupyter-based plotting tool. We also report physics implications including a large scale LHC analysis implementation and validation effort for beyond the standard model reinterpretation purposes and studies with ATLAS and CMS open data. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).en_US
dc.description.sponsorshipNational Research Foundation of Korea, NRF; Ministry of Education, MOE, (NRF-2021R1I1A3048138, NRF-2018R1A6A1A06024970, NRF-2008-00460); Ministry of Education, MOEen_US
dc.language.isoenen_US
dc.publisherSissa Medialab Srlen_US
dc.relation.ispartofProceedings of Science -- 42nd International Conference on High Energy Physics, ICHEP 2024 -- 18 July 2024 through 24 July 2024 -- Prague -- 208603en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleThe Analysis Description Language Ecosystem: Latest Developments and Physics Applicationsen_US
dc.typeConference Objecten_US
dc.departmentTOBB University of Economics and Technologyen_US
dc.identifier.volume476en_US
dc.identifier.scopus2-s2.0-105004809864-
dc.authorscopusid24172042700-
dc.authorscopusid6603681553-
dc.authorscopusid59150153600-
dc.authorscopusid55441320100-
dc.authorscopusid59863865700-
dc.authorscopusid57574189600-
dc.authorscopusid59861421800-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ4-
dc.identifier.wosqualityN/A-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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