A team led by Berkeley Lab researchers has enlisted powerful supercomputers to calculate a quantity, known as the “nucleon axial coupling” or gA, that is central to our understanding of a neutron’s lifetime.
VIDEO: A recap of the Berkeley Lab Physics Photowalk. (Credit: Marilyn Chung/Berkeley Lab) Dozens of photographers visited the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) on Wednesday, May 16 – coinciding with the International Day of Light – to creatively capture scenes of science at Lab facilities including the Advanced Light Source,
The team behind Project Jupyter, an effort pioneered by Fernando Pérez, an assistant professor of statistics at UC Berkeley and staff scientist in the Usable Software Systems Group at Berkeley Lab’s Computational Research Division, has been honored with an Association of Computing Machinery Software System Award for developing a tool that has had a lasting influence on computing.
Just five years after joining Berkeley Lab as a Physics Division fellow, Zach Marshall is co-leading an international team of researchers in search of supersymmetry — the theory that every known particle has a “superpartner” particle. Now with funding from an early career award announced last November, Marshall and his team are building a powerful super-scheduling platform that will help particle physicists process more data faster without investing in costly new computing infrastructure.
Julian Borrill, who leads the Computational Cosmology Center in Berkeley Lab’s Computational Research Division, has been elected co-spokesperson of CMB-S4, a next-generation ground-based experiment to study the faint relic radiation from the Big Bang.
Scientists have decoded faint distortions in the patterns of the universe’s earliest light to map huge tubelike structures invisible to our eyes – known as filaments – that serve as superhighways for delivering matter to dense hubs such as galaxy clusters.
Berkeley Lab is offering a special tour to photographers on Wednesday, May 16, 2018, in a local event that is part of a Global Physics Photowalk 2018 competition. Follow @BerkeleyLab and #LBNLphotowalk online for updates on the local event.
A team of researchers from the Department of Energy’s Berkeley Lab and Joint Genome Institute took one of the most popular clustering algorithms in modern biology and modified it to run quickly, efficiently and at scale on distributed-memory supercomputers.
Berkeley Lab physicists and their collaborators have demonstrated that computers are ready to tackle the universe’s greatest mysteries – they used neural networks to perform a deep dive into data simulating the subatomic particle soup that may have existed just microseconds after the big bang.