Bayesian inference of the fluctuating proton shape in DIS and hadronic collisions
Abstract
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 J/ 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.
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