ATLAS data challenge 2: a massive monte carlo production on the grid

  • Authors:
  • Santiago González de la Hoz;Javier Sánchez;Julio Lozano;Jose Salt;Farida Fassi;Luis March;D. L. Adams;Gilbert Poulard;Luc Goossens

  • Affiliations:
  • Edificio de Institutos de Investigación, IFIC- Instituto de Física Corpuscular, Valencia, Spain;Edificio de Institutos de Investigación, IFIC- Instituto de Física Corpuscular, Valencia, Spain;Edificio de Institutos de Investigación, IFIC- Instituto de Física Corpuscular, Valencia, Spain;Edificio de Institutos de Investigación, IFIC- Instituto de Física Corpuscular, Valencia, Spain;Edificio de Institutos de Investigación, IFIC- Instituto de Física Corpuscular, Valencia, Spain;Edificio de Institutos de Investigación, IFIC- Instituto de Física Corpuscular, Valencia, Spain;Brookhaven National Laboratory, Upton, NY;CERN, European Organization for Nuclear Research, Geneva 23, Switzerland;CERN, European Organization for Nuclear Research, Geneva 23, Switzerland

  • Venue:
  • EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
  • Year:
  • 2005

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Abstract

The study and validation of the ATLAS Computing Model started three years ago and will continue for few years in the context of the so-called Data Challenges (DC). DC1 was conducted during 2002-03; the main goals achieved were to set up the simulation data production infrastructure in a real worldwide collaborative effort and to gain experience in exercising an ATLAS wide production model. DC2 (from May until December 2004) is divided into three phases: (i) generate Monte Carlo data using GEANT4 on three different Grid projects: LCG, GRID3 and NorduGrid; (ii) simulate the first pass reconstruction of real data expected in 2007, and (iii) test the Distributed Analysis model. Experience with the use of the system in world-wide DC2 production of ten million events will be presented. We also present how the three Grid flavours are operated. Finally we discuss the first prototypes of Distributed Analysis systems.