Posted 2/5/2024, 2:53:03 PM
Machine Learning Doubles Data on Quantum Properties of Sulfur-38 Nucleus
- Researchers used machine learning to analyze data and determine the unique quantum "fingerprint" of the sulfur-38 nucleus.
- The goal was to test theories about nuclear forces by studying how protons and neutrons rearrange within the sulfur-38 nucleus.
- The experiment initiated movement of protons and neutrons in sulfur-38 using a nuclear reaction and measured the resulting gamma ray emissions.
- The machine learning analysis significantly improved data classification compared to other techniques.
- The results doubled existing data on the quantum energy levels in sulfur-38, providing new information to compare against theoretical nuclear models.