Researchers have channeled the universe’s earliest light – a relic of the universe’s formation known as the cosmic microwave background (CMB) – to solve a missing-matter mystery and learn new things about galaxy formation. Their work could also help us to better understand dark energy and test Einstein’s theory of general relativity by providing new details about the rate at which galaxies are moving toward us or away from us.
The U.S. Department of Energy has formally approved a key milestone in the High-Luminosity LHC Accelerator Upgrade Project being carried out at eight U.S. institutions, including the DOE’s Berkeley Lab.
Berkeley Lab researchers participated in a study that used machine learning to scan for new particles in three years of particle-collision data from CERN’s ATLAS detector.
A team of researchers at Berkeley Lab used a quantum computer to successfully simulate an aspect of particle collisions that is typically neglected in high-energy physics experiments, such as those that occur at CERN’s Large Hadron Collider.
A research team with participation by Berkeley Lab physicists has used artificial intelligence to identify more than 1,200 possible gravitational lenses – objects that can be powerful markers for the distribution of dark matter. The count, if all of the candidates turn out to be lenses, would more than double the number of known gravitational lenses.
A new study, led by a theoretical physicist at Berkeley Lab, suggests that never-before-observed particles called axions may be the source of unexplained, high-energy X-ray emissions surrounding a group of neutron stars.
Berkeley Lab has a long history of participating in neutrino experiments and discoveries in locations ranging from a site 1.3 miles deep at a nickel mine in Ontario, Canada, to an underground research site near a nuclear power complex northeast of Hong Kong, and a neutrino observatory buried in ice near the South Pole.
Borrowing a page from high-energy physics and astronomy textbooks, a team of physicists and computer scientists at Berkeley Lab has successfully adapted and applied a common error-reduction technique to the field of quantum computing.
Crews working on the largest U.S. experiment designed to directly detect dark matter completed a major milestone last month, and are now turning their sights toward startup after experiencing some delays due to global pandemic precautions.
Kevin Lesko, a spokesperson for the LUX-ZEPLIN (LZ) dark matter experiment and senior physicist at Berkeley Lab, shares his insights about the mysteries of dark matter, what we know about it, and what we hope to learn about it from LZ, in this Q&A interview at Sanford Lab.