They’ll work on experiments that search for dark matter particles and exotic neutrino decays that could help explain why there’s more matter than antimatter in the universe.
Toro and Schuster are being recognized for their contributions to the design of experiments that use particle accelerators to search for dark matter particles.
Edelen draws on machine learning to fine tune particle accelerators, while Kurinsky develops dark matter detectors informed by quantum information science.
A technique from the newest generation of quantum sensors is helping scientists to use the limitations of the Heisenberg uncertainty principle to their advantage.
This month marks the 30-year anniversary of the first website in North America, launched at SLAC. In this Q&A, one of the Wizards recalls the motivation that spawned the development and how it has changed the work of scientists.
The research could lead to a better understanding of extreme astrophysical environments and the development of compact high-energy radiation sources for science.
Bernhard Mistlberger has developed new methods to make Standard Model predictions more precise than ever. The European Physical Society recently awarded him the 2021 Gribov Medal for his contributions.