Jefferson Lab: Thomas Jefferson National Accelerator Facility is a U.S. Department of Energy Office of Science national laboratory. Jefferson Lab's unique and exciting mission is to expand our knowledge of the universe by studying the basic building blocks of matter within the nucleus: subatomic particles known as quarks and gluons.
- Our Experimental Program in Hall A/C
- Our Experimental Program in Hall D
- Neutral Particle Spectrometer: An instrument built by our group with a science program of 8 approved experiments at Jefferson Lab
Electron-Ion Collider: The EIC will be a particle accelerator that collides electrons with protons and nuclei to produce snapshots of those particles’ internal structure—like a CT scanner for atoms. The electron beam will reveal the arrangement of the quarks and gluons that make up the protons and neutrons of nuclei. The force that holds quarks together, carried by the gluons, is the strongest force in Nature. The EIC will allow us to study this “strong nuclear force” and the role of gluons in the matter within and all around us. What we learn from the EIC could power the technologies of tomorrow.
- Meson Structure Functions: How the bulk of the Universe’s visible mass emerges and how it is manifest in
the existence and properties of hadrons are profound questions that probe into the heart of strongly interacting matter. The lightest pseudoscalar mesons appear to be the key to the further understanding of the emergent mass and structure mechanisms. Our group studies meson structure functions taking advantage of unprecedented acceptance for forward scattered particles that is enabled by the far forward region at the EIC. - Detectors: EEEMCAL, hpDIRC
- AI4EIC: Artificial Intelliogence (AI) will be an essential part of future experiments like the Electron Ion Collider, a new $2B high-luminosity facility capable to collide high-energy electron beams with high-energy proton and ion beams that will be built at BNL in approximately 10 years from now to unlock the secrets of the "glue" that binds the building blocks of visible matter in the universe.
AI can provide new insights and discoveries from both experimental and computational data produced at user facilities.