Color glass condensate at next-to-leading order meets HERA data
Beuf, Guillaume; Hänninen, Henri; Lappi, Tuomas; Mäntysaari, Heikki (2020). Color glass condensate at next-to-leading order meets HERA data. Physical Review D, 102 (7), 074028. DOI: 10.1103/PhysRevD.102.074028
Published in
Physical Review DDate
2020Copyright
© Authors, 2020
We perform the first dipole picture fit to HERA inclusive cross section data using the full next-to-leading order (NLO) impact factor combined with an improved Balitsky-Kovchegov evolution including the dominant effects beyond leading logarithmic accuracy at low x. We find that three different formulations of the evolution equation that have been proposed in the recent literature result in a very similar description of HERA data and robust predictions for future deep inelastic scattering experiments. We find evidence pointing toward a significant nonperturbative contribution to the structure function for light quarks, which stresses the need to extend the NLO impact factor calculation to massive quarks.
Publisher
American Physical Society (APS)ISSN Search the Publication Forum
2470-0010Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/43482778
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Related funder(s)
Academy of Finland; European CommissionFunding program(s)
Academy Project, AoF; Postdoctoral Researcher, AoF


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.
Additional information about funding
This work was supported by the Academy of Finland, Projects No. 314764 (H. M.) and No. 321840 (T. L.). G. B., H. H. and T. L. are supported under the European Union’s Horizon 2020 research and innovation program by the European Research Council (ERC, Grant Agreement No. ERC-2015-CoG681707) and by the STRONG-2020 project (Grant Agreement No. 824093). 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.
