Sergio Lopez-Caceres

Sergio’s work focuses on automating radioactive beam delivery using AI/ML tools. At the ATLAS user facility, the CARIBU source generates beams of radioactive isotopes through the spontaneous fission of Californium-252, supporting advanced experiments in nuclear physics. However, beam extraction and transport currently depend on manual tuning methods, which are labor-intensive and limit research efficiency. By applying AI/ML techniques, Sergio aims to streamline beam delivery, reduce downtime, and enhance scientific productivity.

Additionally, Sergio contributed to enhancing nuclear physics research capabilities with the LSU-Argonne Conversion Electron Spectrometer (LACES). This detector enables the measurement of transition multipolarities in low-energy, high-multipole-order transitions, electric monopoles, and heavily converted isomeric transitions—important properties for studying nuclear structure.

Education

Doctor of Philosophy, Louisiana State University