发表机构
Institute of Theoretical Physics, Jagiellonian University; Doctoral School of Exact and Natural Sciences, Jagiellonian University; Department of Physics, Temple University; RIKEN-BNL Research Center, Brookhaven National Laboratory; Physics Department, Brookhaven National Laboratory（雅盖隆大学理论物理研究所; 雅盖隆大学数理博士学院; 天普大学物理系; 布鲁克海文国家实验室理研-布鲁克海文研究中心; 布鲁克海文国家实验室物理部）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究联合拟合 HERA DIS 与 p+p 前向强子产生数据，求解 BK 方程，验证 CGC 框架的普适性，并采用 Hessian 与贝叶斯方法完整处理不确定性。
AI 中文摘要
许多实验提供了胶子饱和的可能迹象，包括 HERA 深度非弹性散射（DIS）中的几何标度、RHIC 上 d+Au 碰撞相对于 p+p 碰撞中前向粒子产额的抑制，以及 RHIC 和 LHC 上质子-核碰撞中前向快度区双强子关联的背侧峰抑制。先前在色玻璃凝聚（CGC）框架内的研究主要集中于对 HERA 深度非弹性散射数据的拟合，并利用所得偶极子振幅来预测质子-核和质子-质子碰撞中的强子观测量。迄今为止，尚缺乏对 DIS 和前向粒子产生数据的联合拟合，以及对其相互作用的系统性研究。在本文工作中，我们聚焦于两个过程：包含 DIS 和 p+p 碰撞中的前向单举强子产生，并纳入来自 HERA、RHIC 和 LHC 的数据。我们求解 Balitsky-Kovchegov（BK）小-x 演化方程，并对组合数据集进行全局拟合。我们的分析考虑了碎裂函数的不确定性，并为拟合参数提供了最终不确定性。结果表明，CGC 形式体系有潜力在偶极子振幅层面上为这些不同过程提供普适描述。在这些会议论文中，在简要总结设置和结果之后，我们重点强调分析的一个特定方面，即完整的不确定性处理。我们通过两种独立方法验证了最终不确定性：Hessian 方法和贝叶斯推断方法，发现两者非常一致。
英文摘要
Many experiments have provided possible hints of gluon saturation, including geometric scaling in deep inelastic scattering (DIS) at HERA, the suppression of forward particle yields in d+Au collisions relative to p+p collisions at RHIC, and the suppression of away-side peaks in di-hadron correlations at forward rapidities in proton-nucleus collisions at RHIC and the LHC. Previous studies within the Color Glass Condensate (CGC) framework have primarily focused on fits to HERA deep inelastic scattering data, using the resulting dipole amplitudes to predict hadronic observables in proton-nucleus and proton-proton collisions. A simultaneous fit of DIS and forward particle production data, and a systematic study of their interplay, has so far been absent. In the work presented here, we focus on two processes: inclusive DIS and forward single inclusive hadron production in p+p collisions, incorporating data from HERA, RHIC, and the LHC. We solve the Balitsky-Kovchegov (BK) small-x evolution equation and perform a global fit to the combined datasets. Our analysis accounts for uncertainties in fragmentation functions and provides final uncertainties for the fitted parameters. The outcomes demonstrate the potential of the CGC formalism to provide a universal description of these diverse processes at the level of the dipole amplitude. In these proceedings, after very briefly summarizing the setup and our results, we highlight one particular aspect of the analysis, namely the complete uncertainty treatment. We validated the final uncertainties with two independent methods: the Hessian method and the Bayesian inference method, finding very good agreement.
Comments7 pages, 2 figures, 1 table. Proceedings of the 33rd International Workshop on Deep Inelastic Scattering and Related Subjects (DIS2026), 4-8 May 2026, Bologna, Italy
