The proton is not a smooth ball but a tangle of quarks and gluons in constant motion, exchanging energy. Finding out exactly how energy, pressure, and spin are distributed inside it is impossible to do directly: measurements yield only sparse, noisy points. It's like trying to guess a face from a few blurry photos taken from different angles.
Scientists applied a method that learns from many examples: first, they generated thousands of plausible curves describing how proton properties change during particle scattering. Then a 'noisy' algorithm gradually turned random lines into credible ones, checking them against real data. In this way, they managed to reconstruct three key characteristics of the proton: its 'gravitational form factors'—across the entire energy range, even when only one or two data points were available.
The reconstructed curves allowed them to extract important numbers — the so-called low-energy constants. Their values helped compute a quantity that shows how the proton 'resists' external pressure. This is a step toward understanding where the proton's mass comes from and how the strong force that binds quarks together works.
as written by the authors arXiv:2602.19267
We develop a generative framework based on denoising diffusion for the model-independent reconstruction of hadronic form factors from sparse and noisy data. The generative prior is built from a large ensemble of synthetic curves drawn from ten distinct functional classes rooted in different theoretical approaches to hadron structure. Applied to the proton gravitational form factors $$A(t)$$, $$J(t)$$, and $$D(t)$$, the framework yields non-parametric reconstructions consistent with lattice QCD across the full kinematic range $$0\le -t\le 2~\mathrm{GeV}^{2}$$, remaining robust even when only one or two conditioning points are retained. The densely sampled output enables a direct extraction of the chiral low-energy constants $$c_8=-4.6\pm 0.8~\mathrm{GeV}^{-1}$$ and $$c_9=-0.61\pm 0.19~\mathrm{GeV}^{-1}$$. Using these values at the physical pion mass, we obtain $$D(0)=-4.3\pm 0.8$$ for the nucleon $$D$$-term.
The proton is almost 99% energy from quark–gluon interactions, not from the mass of the quarks themselves, as if a person's weight were determined mostly by their internal tension, not their body.
In Liu Cixin's novel 'The Three-Body Problem,' aliens manipulate protons by unfolding them into multidimensional structures — recovering the proton's internal properties could be a first step toward such technologies.