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Global Bayesian Analysis of $\mathrm{J}/ψ$ Photoproduction on Proton and Lead Targets

Heikki Mäntysaari, Hendrik Roch, Farid Salazar, Björn Schenke, Chun Shen, Wenbin Zhao

TL;DR

The paper addresses whether a CGC-based description can simultaneously describe diffractive $J/\psi$ photoproduction in $\gamma+p$ and $\gamma+\mathrm{Pb}$ collisions. A global Bayesian analysis with GP emulators and an extended MCMV initial state (including a flexible proton shape and substructure) tests this possibility, and introduces a global normalization factor $K$ to absorb nonperturbative/wave-function and higher-order uncertainties. The results show that, without $K$, the $\gamma+p$ and $\gamma+\mathrm{Pb}$ data cannot be reconciled within the standard CGC setup; allowing $K$ to vary yields a good description only for $K\sim 0.3$, which in turn implies larger saturation scales and stronger nuclear suppression, effectively slowing the $W$-evolution in nuclei. The findings highlight the necessity of non-linear CGC dynamics and possibly missing higher-order corrections for a unified description, guiding future work toward NLO improvements and more flexible initial-state modeling beyond the MV framework.

Abstract

We perform a global Bayesian analysis of diffractive $\mathrm{J}/ψ$ production in $γ+p$ and $γ+\mathrm{Pb}$ collisions using a color glass condensate (CGC) based calculation framework. As past calculations have shown that CGC-based models typically overpredict the $\mathrm{J}/ψ$ production in $γ+\mathrm{Pb}$ collisions at high center of mass energy, we address the question of whether it is possible to describe coherent and incoherent diffractive $\mathrm{J}/ψ$ data from $γ+p$ collisions at HERA and the LHC, and from $γ+\mathrm{Pb}$ collisions at the LHC simultaneously. Our results indicate that a simultaneous description of $γ+p$ and $γ+\mathrm{Pb}$ data is challenging, with results improving when an overall $K$-factor -- scaling $γ+p$ and $γ+\mathrm{Pb}$ cross sections to absorb model uncertainties -- is introduced.

Global Bayesian Analysis of $\mathrm{J}/ψ$ Photoproduction on Proton and Lead Targets

TL;DR

The paper addresses whether a CGC-based description can simultaneously describe diffractive photoproduction in and collisions. A global Bayesian analysis with GP emulators and an extended MCMV initial state (including a flexible proton shape and substructure) tests this possibility, and introduces a global normalization factor to absorb nonperturbative/wave-function and higher-order uncertainties. The results show that, without , the and data cannot be reconciled within the standard CGC setup; allowing to vary yields a good description only for , which in turn implies larger saturation scales and stronger nuclear suppression, effectively slowing the -evolution in nuclei. The findings highlight the necessity of non-linear CGC dynamics and possibly missing higher-order corrections for a unified description, guiding future work toward NLO improvements and more flexible initial-state modeling beyond the MV framework.

Abstract

We perform a global Bayesian analysis of diffractive production in and collisions using a color glass condensate (CGC) based calculation framework. As past calculations have shown that CGC-based models typically overpredict the production in collisions at high center of mass energy, we address the question of whether it is possible to describe coherent and incoherent diffractive data from collisions at HERA and the LHC, and from collisions at the LHC simultaneously. Our results indicate that a simultaneous description of and data is challenging, with results improving when an overall -factor -- scaling and cross sections to absorb model uncertainties -- is introduced.

Paper Structure

This paper contains 8 sections, 22 equations, 4 figures, 2 tables.

Figures (4)

  • Figure 1: Posterior distributions obtained by fitting the $\gamma+p$ (dashed, lower corner) and $\gamma+\mathrm{Pb}$ (dotted, upper corner) data separately. The numbers presented at the top of the figure are the median values along with their corresponding 90% credible intervals.
  • Figure 2: Integrated $W$ dependent and $|t|$-differential cross sections from two separate fits containing only $\gamma+p$ (full), or only $\gamma+\mathrm{Pb}$ (dashed) data using the standard parameter setup. The uncertainty bands indicate the 68% credible intervals from 25 posterior sample runs of the model.
  • Figure 3: Posterior distribution obtained in the global analysis result with (full, upper corner) and without (dash-dotted, lower corner) the model extension by the normalization factor $K$. The numbers presented at the top of the figure are the median values along with their corresponding 90% credible intervals.
  • Figure 4: Integrated $W$ dependent and $|t|$-differential cross sections from the fit containing $\gamma+p$ and $\gamma+\mathrm{Pb}$ data in the standard parameter setup (dash-dotted) and including an additional $K$ factor (full) the uncertainty bands indicate the 68% credible intervals from 25 posterior sample runs of the model.