March 18, 2024

thumbnail
Teasing Strange Matter from Ordinary

New insights reveal details of how strange matter forms.

March 15, 2024

thumbnail
Searching for the Decay of Nature’s Rarest Isotope: Tantalum-180m

The first results from the MAJORANA experiment dramatically improve current limits on this rare isotope’s decay.

March 13, 2024

thumbnail
Measuring the Thickness of the Neutron Skin with Ultra-Relativistic Heavy Ion Collisions

Researchers determined the neutron skin of lead-208 from experimental data collected in lead-lead collisions at the CERN Large Hadron Collider.

March 8, 2024

thumbnail
Statisticians and Physicists Team Up to Bring a Machine Learning Approach to Mining of Nuclear Data

Bayesian statistical methods help improve the predictability of complex computational models in experimentally unknown research.

March 4, 2024

thumbnail
The “Nested Doll” Nucleus Nitrogen-9 Stretches the Definition of a Nucleus to the Limit

Nitrogen-9 has only two neutrons to its seven protons and decays to an alpha particle by emitting five of its protons in stages.

February 26, 2024

thumbnail
Novel Theory-Based Evaluation Gives a Clearer Picture of Fusion in the Sun

Theoretical calculations and experimental data combine to reduce uncertainty in a key reaction rate in modelling high-energy solar neutrinos.

February 22, 2024

thumbnail
Physicists Remotely Sense Radioactive Decay to Probe Fundamental Forces and Particles

The Project 8 and He6-CRES collaborations use a new technique to set an upper limit on neutrino mass and prepare to test the nature of the weak force.

February 14, 2024

thumbnail
Scientists Locate the Missing Mass Inside the Proton

Nuclear physicists have found the location of matter inside the proton that comes from the strong force - a fundamental force that holds protons together.

February 7, 2024

thumbnail
Gluon Spins Align with the Proton They’re In

A measurement tracking ‘direct’ photons from polarized proton collisions points to positive gluon polarization.

February 2, 2024

thumbnail
Machine Learning Techniques Enhance the Discovery of Excited Nuclear Levels in Sulfur-38

Forefront nuclear physics capabilities and machine-learning data analyses combine to generate new information on quantum energy levels in sulfur-38.