Natalie Roe, who joined Lawrence Berkeley National Laboratory (Berkeley Lab) as a postdoctoral fellow in 1989 and has served as Physics Division director since 2012, has been named the Lab’s Associate Laboratory Director (ALD) for the Physical Sciences Area. Her appointment was approved by the University of California today and was effective July 1, 2020. The announcement follows an international search.
Even an underground experiment 4,600 feet below a mountain in Central Italy, and a telescope instrument more than a mile high atop an Arizona mountaintop could not escape the impacts of the COVID-19 pandemic. In these videos, a Berkeley Lab scientist and two Berkeley Lab-affiliated researchers share their experiences of working in international collaborations during the COVID-19 pandemic.
Marjorie Shapiro, an experimental particle physicist and faculty senior scientist at Berkeley Lab, has been accustomed to working remotely and observing extreme social distancing from some colleagues for years, given that the scientific experiment she supports is 5,800 miles away.
Largely unaffected by the pandemic, the Daya Bay reactor neutrino experiment in Shenzen, China, has continued to pump data to remote supercomputers for analyses.
The Sanford Underground Research Facility in South Dakota, which is home to the LUX-ZEPLIN dark matter search project, has begun a transition toward increased operations.
Two Berkeley Lab scientists and a visiting scientist are among the newest elected members of the American Academy of Arts and Sciences – a 240-year-old honorary society that recognizes accomplished scholars, scientists and artists in academia, the humanities, arts, business, and government.
In a machine learning challenge dubbed the 2020 Large Hadron Collider Olympics, a team of cosmologists from Berkeley Lab developed a code that best identified a mock signal hidden in simulated particle-collision data.
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.