ALCF tackles LHC’s data
Argonne physicists are using Mira to perform simulations of Large Hadron Collider (LHC) experiments with a leadership-class supercomputer for the first time, shedding light on a path forward for interpreting future LHC data. Researchers at the Argonne Leadership Computing Facility (ALCF) helped the team optimize their code for the supercomputer, which has enabled them to simulate billions of particle collisions faster than ever before.
At CERN’s Large Hadron Collider (LHC), the world’s most powerful particle accelerator, scientists initiate millions of particle collisions every second in their quest to understand the fundamental structure of matter.
With each collision producing about a megabyte of data, the facility, located on the border of France and Switzerland, generates a colossal amount of data. Even after filtering out about 99 percent of it, scientists are left with around 30 petabytes (or 30 million gigabytes) each year to analyze for a wide range of physics experiments, including studies on the Higgs boson and dark matter.