# Nuclear suppression in diffractive vector meson production within the color glass condensate framework

## TL;DR

This paper conducts a Bayesian analysis of diffractive J/ψ production in photon-proton and photon-nucleus collisions using the Color Glass Condensate framework, highlighting challenges and nuclear suppression effects.

## Contribution

It introduces a global K-factor to improve the description of data and provides predictions for J/ψ cross sections and nuclear suppression within the CGC framework.

## Key findings

- Simultaneous description of γ+p and γ+Pb data is challenging.
- Introducing a global K-factor improves data agreement.
- Predictions for J/ψ cross sections and nuclear suppression are provided.

## Abstract

We perform a global Bayesian analysis of diffractive $\mathrm{J}/\psi$ production in $\gamma+p$ and $\gamma+\mathrm{Pb}$ collisions within a Color Glass Condensate based framework. Using data from HERA and the LHC, we find that a simultaneous description of $\gamma+p$ and $\gamma+\mathrm{Pb}$ observables is challenging. Introducing a global $K$-factor to account for theoretical uncertainties improves the agreement with data and enhances the framework's predictive power. We present predictions for integrated $\mathrm{J}/\psi$ cross sections at different photon-nucleus energies and study their $A$-dependence relative to a no-saturation baseline, quantifying nuclear suppression and providing insights into the onset of saturation effects.