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pro vyhledávání: '"Chiara Badiali"'
Autor:
Marumi Kado, Guglielmo Frattari, Eilam Gross, Jonathan Shlomi, Chiara Badiali, Valerio Ippolito, Francesco Armando Di Bello
Publikováno v:
Comput.Softw.Big Sci.
Comput.Softw.Big Sci., 2021, 5 (1), pp.14. ⟨10.1007/s41781-021-00059-x⟩
Comput.Softw.Big Sci., 2021, 5 (1), pp.14. ⟨10.1007/s41781-021-00059-x⟩
Multidimensional efficiency maps are commonly used in high energy physics experiments to mitigate the limitations in the generation of large samples of simulated events. Binned multidimensional efficiency maps are however strongly limited by statisti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc0fea3f9ea5d2c1670db692aff338a8
http://arxiv.org/abs/2004.02665
http://arxiv.org/abs/2004.02665
Publikováno v:
Journal of Plasma Physics. 88(6)
In this paper we propose a methodology for the efficient implementation of Machine Learning (ML)-based methods in particle-in-cell (PIC) codes, with a focus on Monte-Carlo or statistical extensions to the PIC algorithm. The presented approach allows