论文标题
贝叶斯的贝叶斯推断质子形状波动和耐药碰撞
Bayesian inference of the fluctuating proton shape in DIS and hadronic collisions
论文作者
论文摘要
我们通过在彩色玻璃冷凝器框架中进行贝叶斯分析来确定模型参数的可能性分布,这些模型参数描述了小$ x $的逐个事件波动的质子几何形状。发现来自HERA的独家$ \ Mathrm {J}/ψ$生产数据可很好地限制模型参数,我们证明可以从LHC的PB+PB碰撞的模拟中获得互补约束。
We determine the likelihood distribution for the model parameters describing the event-by-event fluctuating proton geometry at small $x$ by performing a Bayesian analysis within the Color Glass Condensate framework. The exclusive $\mathrm{J}/ψ$ production data from HERA is found to constrain the model parameters well, and we demonstrate that complementary constraints can be obtained from simulations of Pb+Pb collisions at the LHC.