Cargando…
Theory pipeline for PDF fitting
Fitting PDFs requires the integration of a broad range of datasets, both from data and theory side, into a unique framework. While for data the integration mainly consists in the standardization of the data format, for the theory predictions there are multiple ingredients involved. Different provide...
Autores principales: | Barontini, Andrea, Candido, Alessandro, Cruz-Martinez, Juan, Hekhorn, Felix, Schwan, Christopher, Magni, Giacomo |
---|---|
Lenguaje: | eng |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.22323/1.414.0784 http://cds.cern.ch/record/2847458 |
Ejemplares similares
-
Theory prediction in PDF fitting
por: Barontini, Andrea, et al.
Publicado: (2023) -
Pineline: Industrialization of High-Energy Theory Predictions
por: Barontini, Andrea, et al.
Publicado: (2023) -
Impact of the heavy quark matching scales in PDF fits
por: Bertone, V., et al.
Publicado: (2017) -
The PDF4LHC21 combination of global PDF fits for the LHC Run III
por: Ball, Richard D., et al.
Publicado: (2022) -
Compressing PDF sets using generative adversarial networks
por: Carrazza, Stefano, et al.
Publicado: (2021)