U.S. Department of Energy awards announced in July will advance Lawrence Berkeley National Laboratory (Berkeley Lab) R&D to develop a more effective and compact particle-beam system for cancer treatment, improve particle-beam performance using artificial intelligence, and develop a high-power, rapid-fire laser system for both tabletop and large-scale applications.
Nobel laureate Ernest Lawrence – founder of Berkeley Lab, inventor of the cyclotron, and a native of Canton, South Dakota – will be honored with a memorial highway in his home state.
Today, the hard X-ray system for LCLS-II achieved “first light,” demonstrating its performance in readiness for the experimental campaigns ahead. Berkeley Lab oversaw the construction and delivery of the powerful magnetic components, called undulator segments, for the hard X-ray system.
While COVID-19 risks had led to a temporary halt in fabrication work on high-power superconducting magnets built by a collaboration of three U.S. Department of Energy national labs for an upgrade of the world’s largest particle collider at CERN in Europe, researchers at Berkeley Lab are still carrying out some project tasks.
In a multiyear effort involving three U.S. national laboratories, researchers have successfully built and tested a powerful new focusing magnet that represents a new use for niobium-tin, a superconducting material. The eight-ton device – about as long as a semitruck trailer – set a record for the highest field strength ever recorded for an accelerator focusing magnet, and raises the standard for magnets operating in high-energy particle colliders.
The international Muon Ionization Cooling Experiment (MICE) collaboration, a U.K.-based effort that includes researchers at Berkeley Lab, has made a major step forward in the quest to create an accelerator for subatomic particles called muons.
There wasn’t as much buzz about the particle physics applications of quantum computing when Amitabh Yadav began working on his master’s thesis in the field at Delft University of Technology in the Netherlands a couple of years ago, he recalled.
If you study the detector readout shortly after a particle collision at CERN’s Large Hadron Collider (LHC), “It looks like somebody fired a shotgun at a target,” said Eric Rohm, a physics researcher from the University of South Carolina who spent August 2019 to December 2019 working on a quantum-computing project at Berkeley Lab. With the planned upgrade of the LHC, this seemingly scattershot picture will only become more complicated.
Giant-scale physics experiments are increasingly reliant on big data and complex algorithms fed into powerful computers, and managing this multiplying mass of data presents its own unique challenges. To better prepare for this data deluge posed by next-generation upgrades and new experiments, physicists are turning to the fledgling field of quantum computing.
Lucy Linder grew up near CERN, the largest high-energy physics laboratory in the world, but during her youth she didn’t pay much attention to the science taking place there. Her academic pursuits, though, would steer her on a circuitous path that brought her close to home – and to the wide world of particle physics research at CERN.