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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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)
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)
Dean, J., Ghemawat, S.: MapReduce: Simplified Data Processing on Large Clusters. Communications of the ACM 51(1), 107–113 (2008)
The LHCb Collaboration: The LHCb Detector at the LHC. Journal of Instrumentation 8, 8005+ (August 2008)
Beyer, M.: CP violation in particle, nuclear and astrophysics. Lecture Notes in Physics. Springer, Heidelberg (2002)
Lindner, R.: LHCb Collection, http://cdsweb.cern.ch/record/1087860
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)
Bird, I., et al.: LHC computing Grid: Technical Design Report. LCG-TDR-001 CERN-LHCC-2005-024 (2005)
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
The DIRAC team, DIRAC Website (2010), https://lhcb-comp.web.cern.ch/lhcb-comp/DIRAC/default.htm
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)
The ganga team, ganga (2010), http://ganga.web.cern.ch/ganga/index.php
de Olivia, E.C., et al.: LhcB Computing Technical Design Report, CERN/LHCC/205-019 (2005)
Koppenburg, P., The LHCb Collaboration: Reconstruction and analysis software environment of LHCb. Nuclear Physics B (Proceedings Supplements) 156, 213–216 (2006)
Barrand, G., et al.: GAUDI A software architecture and framework for building HEP data processing application. Computer Physics Communications 140, 45–55 (2001)
The Gaudi team, Gaudi (2010), http://proj-gaudi.web.cern.ch/proj-gaudi/
The DaVinci team, DaVinci (2010), http://lhcb-release-area.web.cern.ch/LHCb-release-area/DOC/davinci/
Antcheva, I., et al.: ROOT – A C++ framework for petabyte data storage, statistical analysis and visualization. Computer Physics Communications 180, 2499–2512 (2009)
The ROOT team, ROOT (2010), http://root.cern.ch
The GaudiPython team, GaudiPython (2010), https://twiki.cern.ch/twiki/bin/view/LHCb/GaudiPython
Barrand, G.B., et al.: Python-based physics analysis environment for LHCb. In: Proceedings of Computing in High Energy and Nuclear Physics (2004)
The Bender team, Bender (2010), https://lhcb-comp.web.cern.ch/lhcb-comp/Analysis/Bender/index.html
Author information
Authors and Affiliations
Editor information
Rights 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)