CMS PYTHIA 8 colour reconnection tunes based on underlying-event data

Tumasyan, A.; Brochero Cifuentes, Javier Andrés; Cabrillo Bartolomé, José Iban; Calderón Tazón, Alicia; Duarte Campderros, Jorge; Fernández García, Marcos; Fernández Madrazo, Celia; Fernández Manteca, Pedro José; García Alonso, Andrea; Gómez Gramuglio, Gervasio; Martínez Rivero, Celso; Martínez Ruiz del Árbol, Pablo; Matorras Weinig, Francisco; Matorras Cuevas, Pablo; Piedra Gómez, Jonatan; Prieëls, Cedric; Ruiz Jimeno, Alberto; Scodellaro, Luca; Vila Álvarez, Iván; Vizán García, Jesús Manuel

doi:10.1140/epjc/s10052-023-11630-8

dc.contributor.author	Tumasyan, A.
dc.contributor.author	Brochero Cifuentes, Javier Andrés
dc.contributor.author	Cabrillo Bartolomé, José Iban
dc.contributor.author	Calderón Tazón, Alicia
dc.contributor.author	Duarte Campderros, Jorge
dc.contributor.author	Fernández García, Marcos
dc.contributor.author	Fernández Madrazo, Celia
dc.contributor.author	Fernández Manteca, Pedro José
dc.contributor.author	García Alonso, Andrea
dc.contributor.author	Gómez Gramuglio, Gervasio
dc.contributor.author	Martínez Rivero, Celso
dc.contributor.author	Martínez Ruiz del Árbol, Pablo
dc.contributor.author	Matorras Weinig, Francisco
dc.contributor.author	Matorras Cuevas, Pablo
dc.contributor.author	Piedra Gómez, Jonatan
dc.contributor.author	Prieëls, Cedric
dc.contributor.author	Ruiz Jimeno, Alberto
dc.contributor.author	Scodellaro, Luca
dc.contributor.author	Vila Álvarez, Iván
dc.contributor.author	Vizán García, Jesús Manuel
dc.contributor.other	Universidad de Cantabria	es_ES
dc.date.accessioned	2024-03-08T14:27:53Z
dc.date.available	2024-03-08T14:27:53Z
dc.date.issued	2023-07
dc.identifier.issn	1434-6044
dc.identifier.issn	1434-6052
dc.identifier.uri	https://hdl.handle.net/10902/32150
dc.description.abstract	Newsets of parameter tunes for two of the colour reconnection models, quantum chromodynamics-inspired and gluon-move, implemented in the pythia 8 event generator, are obtained based on the default CMS pythia 8 underlying-event tune, CP5. Measurements sensitive to the underlying event performed by the CMS experiment at centre-of-mass energies √s = 7 and 13 TeV, and by the CDF experiment at 1.96 TeV are used to constrain the parameters of colour reconnection models and multiple-parton interactions simultaneously. The new colour reconnection tunes are compared with various Measurements at 1.96, 7, 8, and 13 TeV including measurements of the underlying-event, strange-particle multiplicities, jet substructure observables, jet shapes, and colour flow in top quark pair (t¯t) events. The new tunes are also used to estimate the uncertainty related to colour reconnection modelling in the top quark mass measurement using the decay products of t¯t events in the semileptonic channel at 13 TeV.	es_ES
dc.description.sponsorship	Individuals have received support from the Marie-Curie programme and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 884104, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the BelBelgian Federal Science Policy Office; the Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium); the Agentschap voor Innovatie doorWetenschap en Technologie (IWTBelgium); the F.R.S.-FNRS and FWO (Belgium) under the “Excellence of Science – EOS” – be.h project n. 30820817; the Beijing Municipal Science&Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Deutsche Forschungsgemeinschaft (DFG), under Germany’s Excellence Strategy – EXC 2121 “Quantum Universe” – 390833306, and under project number 400140256 –GRK2497; the Hungarian Academy of Sciences, the New National Excellence Program – ÚNKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460,K143477, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; the Latvian Council of Science; theMinistry of Education and Science, project no. 2022/WK/14, and the National Science Center, contracts Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552 (Poland); the Fundação para a Ciência e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe”, and the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain); the Chulalongkorn Academic into Its 2nd Century Project Advancement Project, and the National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B05F650021 (Thailand); the Kavli Foundation; theNvidiaCorporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).	es_ES
dc.format.extent	48 p.	es_ES
dc.language.iso	eng	es_ES
dc.publisher	Springer New York LLC	es_ES
dc.rights	This article is licensed under a Creative Commons Attribution 4.0 International License,which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.	es_ES
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	*
dc.source	European Physical Journal C, 2023, 83(7), 587	es_ES
dc.title	CMS PYTHIA 8 colour reconnection tunes based on underlying-event data	es_ES
dc.type	info:eu-repo/semantics/article	es_ES
dc.relation.publisherVersion	https://doi.org/10.1140/epjc/s10052-023-11630-8	es_ES
dc.rights.accessRights	openAccess	es_ES
dc.identifier.DOI	10.1140/epjc/s10052-023-11630-8
dc.type.version	publishedVersion	es_ES

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This article is licensed under a Creative Commons Attribution 4.0 International License,which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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