Skip to main content

The Computing Framework for Physics Analysis at LHCb

  • Conference paper
Applied Parallel and Scientific Computing (PARA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7134))

Included in the following conference series:

  • 1761 Accesses

Abstract

The analysis of high energy physics experiment data is a good example for the need of real-time access and processing of large data sets. In this contribution we introduce the basic concepts and implementations of high energy data analysis on the example of the LHCb experiment at the LHC collider. Already now, but even more once running under nominal conditions it will produce unprecedented amounts of data for years. The contribution will also discuss the potential of parts of the existing implementations to be used in the analysis middleware for future dedicated projects on fast distributed analysis frameworks for LHC data.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Schmelling, M., et al.: RAVEN-a Random Access, Visualization and Exploration Network for the Analysis of Petabyte Sized Data Sets. Poster at the 4th International Conference Distributed Computing and Grid-Technologies in Science and Education (2010)

    Google Scholar 

  2. Ballintijn, M., et al.: Parallel interactive data analysis with PROOF. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 559, 13–16 (2006)

    Article  Google Scholar 

  3. Dean, J., Ghemawat, S.: MapReduce: Simplified Data Processing on Large Clusters. Communications of the ACM 51(1), 107–113 (2008)

    Article  Google Scholar 

  4. The LHCb Collaboration: The LHCb Detector at the LHC. Journal of Instrumentation 8, 8005+ (August 2008)

    Google Scholar 

  5. Beyer, M.: CP violation in particle, nuclear and astrophysics. Lecture Notes in Physics. Springer, Heidelberg (2002)

    Book  Google Scholar 

  6. Lindner, R.: LHCb Collection, http://cdsweb.cern.ch/record/1087860

  7. Lamanna, M.: The LHC computing grid project at CERN. Nuclear Instruments and Methods in Physics Reseacrch Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 534, 1–6 (2004)

    Article  Google Scholar 

  8. Bird, I., et al.: LHC computing Grid: Technical Design Report. LCG-TDR-001 CERN-LHCC-2005-024 (2005)

    Google Scholar 

  9. Bargiotti, M., Smith, A.C.: DIRAC data management: consistency, integrity and coherence of data. Journal of Physics: Conference Series 119, 062013 (2008), http://iopscience.iop.org/1742-6596/119/6/062013

    Google Scholar 

  10. The DIRAC team, DIRAC Website (2010), https://lhcb-comp.web.cern.ch/lhcb-comp/DIRAC/default.htm

  11. Mościcki, J.T., et al.: Ganga: A tool for computational-task management and easy access to Grid resources. Computer Physics Communications 180, 2303–2316 (2009)

    Article  Google Scholar 

  12. The ganga team, ganga (2010), http://ganga.web.cern.ch/ganga/index.php

  13. de Olivia, E.C., et al.: LhcB Computing Technical Design Report, CERN/LHCC/205-019 (2005)

    Google Scholar 

  14. Koppenburg, P., The LHCb Collaboration: Reconstruction and analysis software environment of LHCb. Nuclear Physics B (Proceedings Supplements) 156, 213–216 (2006)

    Google Scholar 

  15. Barrand, G., et al.: GAUDI A software architecture and framework for building HEP data processing application. Computer Physics Communications 140, 45–55 (2001)

    Article  MATH  Google Scholar 

  16. The Gaudi team, Gaudi (2010), http://proj-gaudi.web.cern.ch/proj-gaudi/

  17. The DaVinci team, DaVinci (2010), http://lhcb-release-area.web.cern.ch/LHCb-release-area/DOC/davinci/

  18. Antcheva, I., et al.: ROOT – A C++ framework for petabyte data storage, statistical analysis and visualization. Computer Physics Communications 180, 2499–2512 (2009)

    Article  Google Scholar 

  19. The ROOT team, ROOT (2010), http://root.cern.ch

  20. The GaudiPython team, GaudiPython (2010), https://twiki.cern.ch/twiki/bin/view/LHCb/GaudiPython

  21. Barrand, G.B., et al.: Python-based physics analysis environment for LHCb. In: Proceedings of Computing in High Energy and Nuclear Physics (2004)

    Google Scholar 

  22. The Bender team, Bender (2010), https://lhcb-comp.web.cern.ch/lhcb-comp/Analysis/Bender/index.html

Download references

Author information

Authors and Affiliations

Authors

Editor information

Kristján Jónasson

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Britsch, M. (2012). The Computing Framework for Physics Analysis at LHCb. In: Jónasson, K. (eds) Applied Parallel and Scientific Computing. PARA 2010. Lecture Notes in Computer Science, vol 7134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28145-7_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28145-7_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28144-0

  • Online ISBN: 978-3-642-28145-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics