Brookhaven’s Computing Center Reaches 300 Petabytes of Stored Data

The Scientific Data and Computing Center (SDCC) at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory now stores more than 300 petabytes of data. That’s far more data than would be needed to store everything written by humankind since the dawn of history — or, if you prefer your media in video format, all the movies ever created.

10 Years Later, Higgs Boson Discoverers Publish Refined Measurements

Particle physics changed forever on July 4, 2012. That was the day the two major physics experiments at CERN’s Large Hadron Collider (LHC), CMS and ATLAS, jointly announced the discovery of a particle that matched the properties of the Higgs boson—a particle theorized decades earlier. The discovery cemented the final piece in the Standard Model of particle physics. Now physicists from the CMS and ATLAS Collaborations detail high-precision results from their latest Higgs boson studies.

HL-LHC Accelerator Upgrade Project receives approval to move full-speed-ahead from Department of Energy

The U.S. DOE has given the U.S. High-Luminosity Large Hadron Collider Accelerator Upgrade Project approval to move full-speed-ahead in building and delivering components for the HL-LHC, specifically, cutting-edge magnets and accelerator cavities that will enable more rapid-fire collisions at the collider.

Berkeley Lab Scientists Contribute to New Exploration of Higgs Boson Interactions

A new analysis, featuring important contributions by Berkeley Lab scientists, strongly supports the hypothesis that the Higgs boson interacts with muons, which are heavier siblings of electrons and the lightest particles yet to reveal evidence for these interactions.

Another Win for the Standard Model: New Study Defies Decades-Old ‘Discrepancy’ With High-Precision Measurement

A new study dives into a decades-old discrepancy from a Standard Model of particle physics pillar known as “lepton flavor universality,” and provides strong evidence to resolve it.

Berkeley Lab Cosmologists Are Top Contenders in Machine Learning Challenge

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.