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

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.

preprint2022arXivOpen access
Heikki MäntysaariBjörn SchenkeChun ShenWenbin Zhao
hep-phnucl-th
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Open access4 authors2 topics
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Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Heikki MäntysaariBjörn SchenkeChun ShenWenbin Zhao

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