Exploring the proton’s mass distribution is one of the major goals of the US hadron physics facilities, including Jefferson Lab 12GeV and the future Electron-Ion Collider. New theory development utilizes the artificial intelligence/machine learning application of the Bayesian method to unbiasedly extract the gravitational form factors from experiments and reveal that the proton mass distribution is dominated by gluonic matter. Lawrence Berkeley National Laboratory, published in Physical Review Letters.
