With this increase came a desire to maximize cost efficiency by dynamically provisioning resources on an as-needed basis. With the increase in LHC collision energy last year, the demand for data assimilation, event simulations, and large-scale computing increased as well. Located just outside Batavia Illinois, Fermilab serves as one of the Tier 1 data centers for Cern’s CMS experiment.
#Jeff higgs Offline#
The raw data from the CMS is recorded every 25 nanoseconds at a rate of approximately 1 petabyte per second.Īfter online and offline processing of the raw data at the CERN Tier 0 data center, the datasets are distributed to 7 large Tier 1 data centers across the world within 48 hours, ready for further processing and analysis by scientists (the CMS collaboration, one of the largest in the world, consists of more than 3,000 participating members from over 180 institutes and universities in 43 countries).įermilab is one of 16 National Laboratories operated by the United States Department of Energy. This detector is 69 feet long, 49 feet wide and 49 feet high, and sits in a cavern 328 feet underground near the village of Cessy in France. The high energy particle collisions turn mass in to energy, which then turns back in to mass, creating new particles that are observed in the CMS detector. It explores nature on smaller scales than any human invention has ever explored before. The theorists behind this discovery were awarded the 2013 Nobel Prize in Physics.ĭeep underground on the border between France and Switzerland, the LHC is the world’s largest (17 miles in circumference) and highest-energy particle accelerator. The Higgs boson (sometimes referred to as the God Particle), responsible for providing insight into the origin of mass, was discovered in 2012 by the world’s largest experiments, ATLAS and CMS, at the Large Hadron Collider (LHC) at CERN in Geneva, Switzerland. He wrote the guest post below to share the story of how AWS provided computational resources that aided in an important scientific discovery.
My colleague Sanjay Padhi is part of the AWS Scientific Computing team.
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