Bayesian inference of the fluctuating proton shape

DOI10.1016/j.physletb.2022.137348OpenAlexW4225809630MaRDI QIDQ2172282

Chun Shen, Björn Schenke, Heikki Mäntysaari, Wen-bin Zhao

Publication date: 15 September 2022

Published in: Physics Letters. B (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2202.01998

Mathematics Subject Classification ID

Bayesian inference (62F15) Nuclear physics (81V35) Statistical mechanics of random media, disordered materials (including liquid crystals and spin glasses) (82D30) Constrained dynamics, Dirac's theory of constraints (70H45) Inelastic and multichannel quantum scattering (81U35) Mathematical modeling or simulation for problems pertaining to relativity and gravitational theory (83-10)

Uses Software

• emcee
• GitHub

Cites Work

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• Ensemble samplers with affine invariance
• Mass dependence of vector meson photoproduction off protons and nuclei within the energy-dependent hot-spot model
• The shape of the proton at high energies
• Quantum Chromodynamics at High Energy

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