A1 Journal article (refereed)
Inferring the initial condition for the Balitsky-Kovchegov equation (2024)


Casuga, C., Karhunen, M., & Mäntysaari, H. (2024). Inferring the initial condition for the Balitsky-Kovchegov equation. Physical Review D, 109(5), Article 054018. https://doi.org/10.1103/PhysRevD.109.054018


JYU authors or editors


Publication details

All authors or editorsCasuga, Carlisle; Karhunen, Mikko; Mäntysaari, Heikki

Journal or seriesPhysical Review D

ISSN2470-0010

eISSN2470-0029

Publication year2024

Publication date11/03/2024

Volume109

Issue number5

Article number054018

PublisherAmerican Physical Society (APS)

Publication countryUnited States

Publication languageEnglish

DOIhttps://doi.org/10.1103/PhysRevD.109.054018

Publication open accessOpenly available

Publication channel open accessPartially open access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/95088

Publication is parallel published https://doi.org/10.48550/arXiv.2311.10491


Abstract

We apply Bayesian inference to determine the posterior likelihood distribution for the parameters describing the initial condition of the small-x Balitsky-Kovchegov evolution equation at leading logarithmic accuracy. The HERA structure function data is found to constrain most of the model parameters well. In particular, we find that the HERA data prefers an anomalous dimension γ≈1 unlike in previous fits where γ>1 which led to e.g. the unintegrated gluon distribution and the quark-target cross sections not being positive definite. The determined posterior distribution can be used to propagate the uncertainties in the non-perturbative initial condition when calculating any other observable in the Color Glass Condensate framework. We demonstrate this explicitly for the inclusive quark production cross section in proton-proton collisions and by calculating predictions for the nuclear modification factor for the F2 structure function in the EIC and LHeC/FCC-he kinematics.


Keywordsquarksparticle physics


Contributing organizations


Related projects


Ministry reportingYes

Reporting Year2024

Preliminary JUFO rating2


Last updated on 2024-15-06 at 01:46