The CMS approach to analysis preservation

Trabajo presentado a la 24th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), celebrada en Adelaide Convention Centre (Australia) del 4 al 8 de noviembre de 2019.

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PID https://www.doi.org/10.5281/zenodo.3599615
PID https://www.doi.org/10.5281/zenodo.3599614
PID handle:10261/214687
PID https://www.doi.org/10.1051/epjconf/202024506020
URL https://figshare.com/articles/The_CMS_approach_to_analysis_preservation/11651550
URL https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_06020.pdf
URL http://dx.doi.org/10.5281/zenodo.3599615
URL http://hdl.handle.net/10261/214687
URL https://zenodo.org/record/3599615
URL http://dx.doi.org/10.5281/zenodo.3599614
URL https://doaj.org/toc/2100-014X
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Access Right Open Access
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Author Lloret Iglesias Lara
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Collected From Digital.CSIC; Datacite; figshare; DOAJ-Articles; FigShare
Hosted By Zenodo; Digital.CSIC; EPJ Web of Conferences; figshare; FigShare
Publication Date 2019-11-07
Publisher Zenodo
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Country Spain
Description The CERN analysis preservation portal (CAP) comprises a set of tools and services aiming to assist researchers in describing and preserving all the components of a physics analysis such as data, software and computing environment. Together with the associated documentation, all these assets are kept in one place so that the analysis can be fully or partially reused even several years after the publication of the original scientific results. An experiment-specific submission and retrieval interface has been developed for the CMS collaboration. It integrates with the CMS internal analysis registry (CADI) to capture all analyses with basic information, complemented with a detailed submission form for full information. The CMS data aggregation system (DAS) is interfaced to the deposit form to assist in filling in exact dataset names used in the analysis to ensure searchability. Efforts are ongoing to describe physics content for an intelligent retrieval, and to interface with container solutions for full reproducibility for selected test cases.
Description Peer reviewed
Language UNKNOWN
Resource Type Other literature type; Conference object; Article
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::a5c0bfd0e9b42a3bf972efbdfed6592e
Author jsonws_user
Last Updated 26 December 2020, 19:34 (CET)
Created 26 December 2020, 19:34 (CET)