Correlation and combination of sets of parton distributions

Abstract We study the correlation between different sets of parton distributions (PDFs). Specifically, viewing different PDF sets as distinct determinations, generally correlated, of the same underlying physical quantity, we examine the extent to which the correlation between them is due to the unde...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Richard D. Ball, Stefano Forte, Roy Stegeman
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Astrophysics QB460-466 Nuclear and particle physics. Atomic energy. Radioactivity QC770-798
Acceso en línea:	https://doaj.org/article/447743d2e2614e9cb103778b077ac897
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:447743d2e2614e9cb103778b077ac897
record_format	dspace
spelling	oai:doaj.org-article:447743d2e2614e9cb103778b077ac8972021-12-05T12:09:01ZCorrelation and combination of sets of parton distributions10.1140/epjc/s10052-021-09863-61434-60441434-6052https://doaj.org/article/447743d2e2614e9cb103778b077ac8972021-11-01T00:00:00Zhttps://doi.org/10.1140/epjc/s10052-021-09863-6https://doaj.org/toc/1434-6044https://doaj.org/toc/1434-6052Abstract We study the correlation between different sets of parton distributions (PDFs). Specifically, viewing different PDF sets as distinct determinations, generally correlated, of the same underlying physical quantity, we examine the extent to which the correlation between them is due to the underlying data. We do this both for pairs of PDF sets determined using a given fixed methodology, and between sets determined using different methodologies. We show that correlations have a sizable component that is not due to the underlying data, because the data do not determine the PDFs uniquely. We show that the data-driven correlations can be used to assess the efficiency of methodologies used for PDF determination. We also show that the use of data-driven correlations for the combination of different PDFs into a joint set can lead to inconsistent results, and thus that the statistical combination used in constructing the widely used PDF4LHC15 PDF set remains the most reliable method.Richard D. BallStefano ForteRoy StegemanSpringerOpenarticleAstrophysicsQB460-466Nuclear and particle physics. Atomic energy. RadioactivityQC770-798ENEuropean Physical Journal C: Particles and Fields, Vol 81, Iss 11, Pp 1-18 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Astrophysics QB460-466 Nuclear and particle physics. Atomic energy. Radioactivity QC770-798
spellingShingle	Astrophysics QB460-466 Nuclear and particle physics. Atomic energy. Radioactivity QC770-798 Richard D. Ball Stefano Forte Roy Stegeman Correlation and combination of sets of parton distributions
description	Abstract We study the correlation between different sets of parton distributions (PDFs). Specifically, viewing different PDF sets as distinct determinations, generally correlated, of the same underlying physical quantity, we examine the extent to which the correlation between them is due to the underlying data. We do this both for pairs of PDF sets determined using a given fixed methodology, and between sets determined using different methodologies. We show that correlations have a sizable component that is not due to the underlying data, because the data do not determine the PDFs uniquely. We show that the data-driven correlations can be used to assess the efficiency of methodologies used for PDF determination. We also show that the use of data-driven correlations for the combination of different PDFs into a joint set can lead to inconsistent results, and thus that the statistical combination used in constructing the widely used PDF4LHC15 PDF set remains the most reliable method.
format	article
author	Richard D. Ball Stefano Forte Roy Stegeman
author_facet	Richard D. Ball Stefano Forte Roy Stegeman
author_sort	Richard D. Ball
title	Correlation and combination of sets of parton distributions
title_short	Correlation and combination of sets of parton distributions
title_full	Correlation and combination of sets of parton distributions
title_fullStr	Correlation and combination of sets of parton distributions
title_full_unstemmed	Correlation and combination of sets of parton distributions
title_sort	correlation and combination of sets of parton distributions
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/447743d2e2614e9cb103778b077ac897
work_keys_str_mv	AT richarddball correlationandcombinationofsetsofpartondistributions AT stefanoforte correlationandcombinationofsetsofpartondistributions AT roystegeman correlationandcombinationofsetsofpartondistributions
_version_	1718372186716110848

Correlation and combination of sets of parton distributions

Ejemplares similares