Finite Nc corrections in the Balitsky-Kovchegov equation at next-to-leading order
Lappi, T., Mäntysaari, H., & Ramnath, A. (2021). Finite Nc corrections in the Balitsky-Kovchegov equation at next-to-leading order. In HardProbes2020 : 10th International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear Collisions (Article 102). Sissa Medialab. POS Proceedings of Science, 387. https://doi.org/10.22323/1.387.0102
Julkaistu sarjassa
POS Proceedings of SciencePäivämäärä
2021Tekijänoikeudet
© 2021 the Authors
We study the finite-Nc corrections to the next-to-leading order (NLO) Balitsky--Kovchegov (BK) equation. This contains correlators of six Wilson lines, which we express in terms of the two-point function using the Gaussian approximation. Numerically, the effects of these finite-Nc corrections on the NLO BK equation are found to be smaller than the expected 1/Nc^2 ∼ 10 percent. Corrections may be large for individual correlators, but have less of an influence on the shape of the amplitude as a function of the dipole size. There is an even smaller effect on the evolution speed as a function of rapidity.
Julkaisija
Sissa MedialabKonferenssi
International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear CollisionsKuuluu julkaisuun
HardProbes2020 : 10th International Conference on Hard and Electromagnetic Probes of High-Energy Nuclear CollisionsISSN Hae Julkaisufoorumista
1824-8039Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/101764810
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Rahoittaja(t)
Suomen Akatemia; Euroopan komissioRahoitusohjelmat(t)
Tutkijatohtori, SA; Akatemiahanke, SA
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Lisätietoja rahoituksesta
This work was supported by the Academy of Finland, projects 314764 (H. M.) and 321840 (T.L.), and by the National Research Foundation of South Africa (A. R.). A. R. and T. L. are supported by the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No. ERC-2015-CoG-681707). The content of this article does not reflect the official opinion of the European Union and responsibility for the information and views expressed therein lies entirely with the authors. Computing resources from CSC – IT Center for Science in Espoo, Finland and from the Finnish Grid and Cloud Infrastructure (persistent identifier urn:nbn:fi:research-infras-2016072533) were used in this work. ...Lisenssi
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