Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jan Okraska"'
Autor:
L. Lloret Iglesias, Tibor Simko, Diyaselis Delgado Lopez, Mantas Savaniakas, Thomas McCauley, Heitor Pascoal de Bittencourt, Adelina Eleonora Lintuluoto, Kati Lassila-Perini, Daniel Prelipcean, Jan Okraska, Clemens Lange, E. Carrera
Publikováno v:
EPJ Web of Conferences, Vol 245, p 08014 (2020)
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019), University Adelaide, Adelaide, Australia, November 04-08, 2019, EDP Sciences, 2020, art. no. 08014, p. [1-8]
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019), University Adelaide, Adelaide, Australia, November 04-08, 2019, EDP Sciences, 2020, art. no. 08014, p. [1-8]
In this paper we present the latest CMS open data release published on the CERN Oopen Data portal. Samples of collision and simulated datasets were released together with detailed information about the data provenance. The associated data production
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b8072590cae0307a03f0c527427d810
http://hdl.handle.net/10138/326171
http://hdl.handle.net/10138/326171
Autor:
Anna Trzcinska, Artemis Lavasa, Diego Rodriguez Rodriguez, Jan Okraska, Pamfilos Fokianos, Rokas Maciulaitis, Sebastian Stefan Feger, Stephanie Van De Sandt, Tibor Simko
In this paper we present the CERN Analysis Preservation service as a FAIR (Findable, Accessible, Interoperable and Reusable) research data preservation repository platform for LHC experiments. The CERN Analysis Preservation repository allows LHC coll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c9634c4d10014601b7648b4923e1e08
Autor:
Scott S. Hampton, Irena Johnson, Jan Okraska, Cody Kankel, Kenyi Hurtado Anampa, Tibor Simko, Diego Rodríguez, Michael Hildreth, Rokas Maciulaitis, Paul Brenner
Publikováno v:
eScience
REANA is a reusable and reproducible data analysis platform allowing researchers to structure their analysis pipelines and run them on remote containerised compute clouds. REANA supports several different workflows systems (CWL, Serial, Yadage) and u
Publikováno v:
EPJ Web of Conferences, Vol 245, p 06041 (2020)
In this paper we introduce and study the feasibility of running hybrid analysis pipelines using the REANA reproducible analysis platform. The REANA platform allows researchers to specify declarative computational workflow steps describing the analysi