20-27 July 2011
Alpes Congrès - Alpexpo
Europe/Paris timezone

Distributed processing and analysis of ATLAS experimental data

22 Jul 2011, 11:30
15m
Lesdiguières (Alpes Congrès - Alpexpo)

Lesdiguières

Alpes Congrès - Alpexpo

Parallel session talk Detector R & D and data handling Detector R & D and Data Handling

Speaker

Mr Dario Barberis (Genoa University/INFN)

Description

The ATLAS experiment is taking data steadily since Autumn 2009, collecting close to 1 fb-1 of data (several petabytes of raw and reconstructed data per year of data-taking). Data are calibrated, reconstructed, distributed and analysed at over 100 different sites using the World-wide LHC Computing Grid and the tools produced by the ATLAS Distributed Computing project. In addition to event data, ATLAS produces a wealth of information on detector status,luminosity, calibrations, alignments, and data processing conditions. This information is stored in relational databases, online and offline, and made transparently available to analysers of ATLAS data world-wide through an infrastructure consisting of distributed database replicas and web servers that exploit caching technologies. This paper reports on the experience of using this distributed computing infrastructure with real data and in real time, on the evolution of the computing model driven by this experience, and on the system performance during the first two years of operation

Primary author

Naoko Kanaya (ICEPP,University of Tokio)

Presentation Materials