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arXiv · 2208.00396

Bayesian inference of the fluctuating proton shape in DIS and hadronic collisions

Heikki Mäntysaari·Björn Schenke·Chun Shen·Wenbin Zhao
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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 $\mathrm{J}/\psi$ 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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Heikki Mäntysaari, Björn Schenke, Chun Shen, Wenbin Zhao. 2022-07-31. Bayesian inference of the fluctuating proton shape in DIS and hadronic collisions. https://arxiv.org/abs/2208.00396

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