Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Donadoni Marco"'
Autor:
Donadoni Marco, Feickert Matthew, Heinrich Lukas, Liu Yang, Mečionis Audrius, Moisieienkov Vladyslav, Šimko Tibor, Stark Giordon, Vidal García Marco
Publikováno v:
EPJ Web of Conferences, Vol 295, p 04035 (2024)
In this paper we describe the development of a streamlined framework for large-scale ATLAS pMSSM reinterpretations of LHC Run-2 analyses using containerised computational workflows. The project is looking to assess the global coverage of BSM physics
Externí odkaz:
https://doaj.org/article/be6ab42bcec640d3b2a1398257a64a19
Autor:
Donadoni, Marco, Feickert, Matthew, Heinrich, Lukas, Liu, Yang, Mečionis, Audrius, Moisieienkov, Vladyslav, Šimko, Tibor, Stark, Giordon, García, Marco Vidal
In this paper we describe the development of a streamlined framework for large-scale ATLAS pMSSM reinterpretations of LHC Run-2 analyses using containerised computational workflows. The project is looking to assess the global coverage of BSM physics
Externí odkaz:
http://arxiv.org/abs/2403.03494
Autor:
De Martini, Luca, Margara, Alessandro, Cugola, Gianpaolo, Donadoni, Marco, Morassutto, Edoardo
Today, data analysis drives the decision-making process in virtually every human activity. This demands for software platforms that offer simple programming abstractions to express data analysis tasks and that can execute them in an efficient and sca
Externí odkaz:
http://arxiv.org/abs/2306.04421
Autor:
De Martini, Luca, Margara, Alessandro, Cugola, Gianpaolo, Donadoni, Marco, Morassutto, Edoardo
Publikováno v:
In Future Generation Computer Systems November 2024 160:472-488
Autor:
De Martini, Luca, Margara, Alessandro, Cugola, Gianpaolo, Donadoni, Marco, Morassutto, Edoardo
Today, data analysis drives the decision-making process in virtually every human activity. This demands for software platforms that offer simple programming abstractions to express data analysis tasks and that can execute them in an efficient and sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d04f5ee601716a5b16e9c67be8d43ed4
http://arxiv.org/abs/2306.04421
http://arxiv.org/abs/2306.04421
Autor:
Donadoni, Marco
CERN produces a huge amount of data, such as experimental results, digital documents and multimedia content, which needs to be stored, archived and preserved for many years to come. For this reason, the Digital Memory project was started, with the go
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42629e16e119bfd8b8a228636a93ddba