EPJ Web of Conferences (Jan 2020)

Evolution of the ATLAS analysis model for Run-3 and prospects for HL-LHC

  • Elmsheuser Johannes,
  • Anastopoulos Christos,
  • Boyd Jamie,
  • Catmore James,
  • Gray Heather,
  • Krasznahorkay Attila,
  • McFayden Josh,
  • Meyer Christopher John,
  • Sfyrla Anna,
  • Strandberg Jonas,
  • Suruliz Kerim,
  • Theveneaux-Pelzer Timothee

DOI
https://doi.org/10.1051/epjconf/202024506014
Journal volume & issue
Vol. 245
p. 06014

Abstract

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With an increased dataset obtained during the Run-2 of the LHC at CERN, the even larger forthcoming Run-3 data and the expected increase of the dataset by more than one order of magnitude for the HL-LHC, the ATLAS experiment is reaching the limits of the current data production model in terms of disk storage resources. The anticipated availability of an improved fast simulation will enable ATLAS to produce significantly larger Monte Carlo samples with the available CPU, which will then be limited by insufficient disk resources. The ATLAS Analysis Model Study Group for Run-3 was setup at the end of Run-2. Its tasks have been to analyse the efficiency and suitability of the current analysis model and to propose significant improvements. The group has considered options allowing ATLAS to save, for the same sample of data and simulated events, at least 30% disk space overall, and has given recommendations on how significantly larger savings could be realised for the HL-LHC. Furthermore, suggestions were made to harmonise the current stage of analysis across the collaboration. The group has now completed its work: key recommendations will be the new small sized analysis formats DAOD_PHYS and DAOD_PHYSLITE and the increased usage of a tape carousel mode in the centralised production of these formats. This proceeding reviews the recommended ATLAS analysis model for Run-3 and the status of its implementation. It also provides an outlook to the HL-LHC analysis.