New measurements at RHIC provide evidence for quark ‘deconfinement’ and insight into the unimaginable temperature of the hottest matter on Earth.
Study reveals that initial state conditions set up particle flow patterns, helping zero in on key properties of matter that mimics the early universe.
Theorists' hydrodynamic flow calculations accurately describe data from collisions of photons with lead nuclei at the ATLAS experiment.
Suppression of a telltale sign of quark-gluon interactions indicates gluon recombination in dense walls of gluons.
Quantum interference between dissimilar particles offers new approach for mapping gluons in nuclei, and potentially harnessing entanglement.
Physicists show that black holes and dense state of gluons—the “glue” particles that hold nuclear matter together—share common features.
In conflict with a long-held explanation of cadmium isotope motion, a new experiment found that cadmium-106 may rotate instead of vibrate.
Nuclear physicists test whether next generation artificial intelligence and machine learning tools can process experimental data in real time.
Particles choose partners for short-range correlations differently when farther apart in light nuclei versus when packed closer together in heavy nuclei.
As machine learning tools gain momentum, a review of machine learning projects reveals these tools are already in use throughout nuclear physics.
New measurements show the proton’s electromagnetic structure deviates from theoretical predictions.
Nuclear physicists find that the internal structures of protons and neutrons may be altered in different ways inside nuclei.
