DYTurbo: fast predictions for Drell–Yan processes

Autores
Camarda, Stefano; Boonekamp, Maarten; Bozzi, Giuseppe; Catani, Stefano; Cieri, Leandro Javier; Cuth, Jakub; Ferrera, Giancarlo; de Florian, Daniel Enrique; Glazov, Alexandre; Grazzini, Massimiliano; Vincter, Manuella G.; Schott, Matthias
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Drell–Yan lepton pair production processes are extremely important for standard model (SM) precision tests and for beyond the SM searches at hadron colliders. Fast and accurate predictions are essential to enable the best use of the precision measurements of these processes; they are used for parton density fits, for the extraction of fundamental parameters of the SM, and for the estimation of background processes in searches. This paper describes a new numerical program, DYTurbo, for the calculation of the QCD transverse-momentum resummation of Drell–Yan cross sections up to next-to-next-to-leading logarithmic accuracy combined with the fixed-order results at next-to-next-to-leading order (O(αS2)), including the full kinematical dependence of the decaying lepton pair with the corresponding spin correlations and the finite-width effects. The DYTurbo program is an improved reimplementation of the DYqT, DYRes and DYNNLO programs, which provides fast and numerically precise predictions through the factorisation of the cross section into production and decay variables, and the usage of quadrature rules based on interpolating functions for the integration over kinematic variables.
Fil: Camarda, Stefano. Cern - European Organization for Nuclear Research; Suiza
Fil: Boonekamp, Maarten. No especifíca;
Fil: Bozzi, Giuseppe. Università degli Studi di Firenze; Italia
Fil: Catani, Stefano. Università degli Studi di Firenze; Italia
Fil: Cieri, Leandro Javier. Università degli Studi di Milano; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cuth, Jakub. Johannes Gutenberg Universitat Mainz; Alemania
Fil: Ferrera, Giancarlo. Università degli Studi di Milano; Italia
Fil: de Florian, Daniel Enrique. Universidad Nacional de San Martín; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Glazov, Alexandre. No especifíca;
Fil: Grazzini, Massimiliano. Universitat Zurich; Suiza
Fil: Vincter, Manuella G.. Carleton University; Canadá
Fil: Schott, Matthias. Johannes Gutenberg Universitat Mainz; Alemania
Materia
resumacion
QCD
LHC
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/168315
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/168315
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling DYTurbo: fast predictions for Drell–Yan processesCamarda, StefanoBoonekamp, MaartenBozzi, GiuseppeCatani, StefanoCieri, Leandro JavierCuth, JakubFerrera, Giancarlode Florian, Daniel EnriqueGlazov, AlexandreGrazzini, MassimilianoVincter, Manuella G.Schott, MatthiasresumacionQCDLHChttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Drell–Yan lepton pair production processes are extremely important for standard model (SM) precision tests and for beyond the SM searches at hadron colliders. Fast and accurate predictions are essential to enable the best use of the precision measurements of these processes; they are used for parton density fits, for the extraction of fundamental parameters of the SM, and for the estimation of background processes in searches. This paper describes a new numerical program, DYTurbo, for the calculation of the QCD transverse-momentum resummation of Drell–Yan cross sections up to next-to-next-to-leading logarithmic accuracy combined with the fixed-order results at next-to-next-to-leading order (O(αS2)), including the full kinematical dependence of the decaying lepton pair with the corresponding spin correlations and the finite-width effects. The DYTurbo program is an improved reimplementation of the DYqT, DYRes and DYNNLO programs, which provides fast and numerically precise predictions through the factorisation of the cross section into production and decay variables, and the usage of quadrature rules based on interpolating functions for the integration over kinematic variables.Fil: Camarda, Stefano. Cern - European Organization for Nuclear Research; SuizaFil: Boonekamp, Maarten. No especifíca;Fil: Bozzi, Giuseppe. Università degli Studi di Firenze; ItaliaFil: Catani, Stefano. Università degli Studi di Firenze; ItaliaFil: Cieri, Leandro Javier. Università degli Studi di Milano; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cuth, Jakub. Johannes Gutenberg Universitat Mainz; AlemaniaFil: Ferrera, Giancarlo. Università degli Studi di Milano; ItaliaFil: de Florian, Daniel Enrique. Universidad Nacional de San Martín; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Glazov, Alexandre. No especifíca;Fil: Grazzini, Massimiliano. Universitat Zurich; SuizaFil: Vincter, Manuella G.. Carleton University; CanadáFil: Schott, Matthias. Johannes Gutenberg Universitat Mainz; AlemaniaSpringer2020-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/168315Camarda, Stefano; Boonekamp, Maarten; Bozzi, Giuseppe; Catani, Stefano; Cieri, Leandro Javier; et al.; DYTurbo: fast predictions for Drell–Yan processes; Springer; European Physical Journal C: Particles and Fields; 80; 3; 3-2020; 1-151434-6044CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1140/epjc/s10052-020-7757-5info:eu-repo/semantics/altIdentifier/doi/10.1140/epjc/s10052-020-7757-5info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:15:36Zoai:ri.conicet.gov.ar:11336/168315instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:15:36.294CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv DYTurbo: fast predictions for Drell–Yan processes
title DYTurbo: fast predictions for Drell–Yan processes
spellingShingle DYTurbo: fast predictions for Drell–Yan processes
Camarda, Stefano
resumacion
QCD
LHC
title_short DYTurbo: fast predictions for Drell–Yan processes
title_full DYTurbo: fast predictions for Drell–Yan processes
title_fullStr DYTurbo: fast predictions for Drell–Yan processes
title_full_unstemmed DYTurbo: fast predictions for Drell–Yan processes
title_sort DYTurbo: fast predictions for Drell–Yan processes
dc.creator.none.fl_str_mv Camarda, Stefano
Boonekamp, Maarten
Bozzi, Giuseppe
Catani, Stefano
Cieri, Leandro Javier
Cuth, Jakub
Ferrera, Giancarlo
de Florian, Daniel Enrique
Glazov, Alexandre
Grazzini, Massimiliano
Vincter, Manuella G.
Schott, Matthias
author Camarda, Stefano
author_facet Camarda, Stefano
Boonekamp, Maarten
Bozzi, Giuseppe
Catani, Stefano
Cieri, Leandro Javier
Cuth, Jakub
Ferrera, Giancarlo
de Florian, Daniel Enrique
Glazov, Alexandre
Grazzini, Massimiliano
Vincter, Manuella G.
Schott, Matthias
author_role author
author2 Boonekamp, Maarten
Bozzi, Giuseppe
Catani, Stefano
Cieri, Leandro Javier
Cuth, Jakub
Ferrera, Giancarlo
de Florian, Daniel Enrique
Glazov, Alexandre
Grazzini, Massimiliano
Vincter, Manuella G.
Schott, Matthias
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv resumacion
QCD
LHC
topic resumacion
QCD
LHC
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Drell–Yan lepton pair production processes are extremely important for standard model (SM) precision tests and for beyond the SM searches at hadron colliders. Fast and accurate predictions are essential to enable the best use of the precision measurements of these processes; they are used for parton density fits, for the extraction of fundamental parameters of the SM, and for the estimation of background processes in searches. This paper describes a new numerical program, DYTurbo, for the calculation of the QCD transverse-momentum resummation of Drell–Yan cross sections up to next-to-next-to-leading logarithmic accuracy combined with the fixed-order results at next-to-next-to-leading order (O(αS2)), including the full kinematical dependence of the decaying lepton pair with the corresponding spin correlations and the finite-width effects. The DYTurbo program is an improved reimplementation of the DYqT, DYRes and DYNNLO programs, which provides fast and numerically precise predictions through the factorisation of the cross section into production and decay variables, and the usage of quadrature rules based on interpolating functions for the integration over kinematic variables.
Fil: Camarda, Stefano. Cern - European Organization for Nuclear Research; Suiza
Fil: Boonekamp, Maarten. No especifíca;
Fil: Bozzi, Giuseppe. Università degli Studi di Firenze; Italia
Fil: Catani, Stefano. Università degli Studi di Firenze; Italia
Fil: Cieri, Leandro Javier. Università degli Studi di Milano; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cuth, Jakub. Johannes Gutenberg Universitat Mainz; Alemania
Fil: Ferrera, Giancarlo. Università degli Studi di Milano; Italia
Fil: de Florian, Daniel Enrique. Universidad Nacional de San Martín; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Glazov, Alexandre. No especifíca;
Fil: Grazzini, Massimiliano. Universitat Zurich; Suiza
Fil: Vincter, Manuella G.. Carleton University; Canadá
Fil: Schott, Matthias. Johannes Gutenberg Universitat Mainz; Alemania
description Drell–Yan lepton pair production processes are extremely important for standard model (SM) precision tests and for beyond the SM searches at hadron colliders. Fast and accurate predictions are essential to enable the best use of the precision measurements of these processes; they are used for parton density fits, for the extraction of fundamental parameters of the SM, and for the estimation of background processes in searches. This paper describes a new numerical program, DYTurbo, for the calculation of the QCD transverse-momentum resummation of Drell–Yan cross sections up to next-to-next-to-leading logarithmic accuracy combined with the fixed-order results at next-to-next-to-leading order (O(αS2)), including the full kinematical dependence of the decaying lepton pair with the corresponding spin correlations and the finite-width effects. The DYTurbo program is an improved reimplementation of the DYqT, DYRes and DYNNLO programs, which provides fast and numerically precise predictions through the factorisation of the cross section into production and decay variables, and the usage of quadrature rules based on interpolating functions for the integration over kinematic variables.
publishDate 2020
dc.date.none.fl_str_mv 2020-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/168315
Camarda, Stefano; Boonekamp, Maarten; Bozzi, Giuseppe; Catani, Stefano; Cieri, Leandro Javier; et al.; DYTurbo: fast predictions for Drell–Yan processes; Springer; European Physical Journal C: Particles and Fields; 80; 3; 3-2020; 1-15
1434-6044
CONICET Digital
CONICET
url http://hdl.handle.net/11336/168315
identifier_str_mv Camarda, Stefano; Boonekamp, Maarten; Bozzi, Giuseppe; Catani, Stefano; Cieri, Leandro Javier; et al.; DYTurbo: fast predictions for Drell–Yan processes; Springer; European Physical Journal C: Particles and Fields; 80; 3; 3-2020; 1-15
1434-6044
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1140/epjc/s10052-020-7757-5
info:eu-repo/semantics/altIdentifier/doi/10.1140/epjc/s10052-020-7757-5
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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