The Large Hadron Collider - From Big Data to Physics Discovery
The discovery of the Higgs boson at the Large Hadron Collider (LHC) in July 2013 was marked as a major breakthrough in high energy physics. The outstanding performance of the data processing chains played an important role in this discovery. Each second 100 TB of raw data from the detectors was reduced using smart data reduction techniques and sent to the LHC Computing GRID for further analysis. Over the first 3 years of data collection, the experiments have accumulated more than 100 petabytes of useful data on the GRID. In this seminar, I will present an overview of the online and offline (GRID) data processing strategies used in the discovery of the Higgs boson. I will also discuss the latest results from the ATLAS, CMS and LHCb experiments.
Dr. Markus Elsing is a particle physicist and an expert in event reconstruction algorithms for particle detectors. For the past 12 years he has been the leader of the Data Processing Group of the ATLAS experiment at the Large Hadron Collider, CERN. Since 2002, he is responsible for the simulation and reconstruction software for the central tracking detector of the experiment. His group is responsible for the ATLAS GRID data management system and for the ATLAS Tier-0 computing facility for prompt reconstruction at CERN. His research interests are in novel reconstruction techniques, precision electroweak physics and searches for the Higgs Boson and new physics.
|Last modified:||02 October 2015 10.55 p.m.|