publication . Preprint . 2011

Partial Wave Analysis using Graphics Cards

Berger, Niklaus;
Open Access English
  • Published: 30 Aug 2011
Abstract
Partial wave analysis is a key technique in hadron spectroscopy. The use of unbinned likelihood fits on large statistics data samples and ever more complex physics models makes this analysis technique computationally very expensive. Parallel computing techniques, in particular the use of graphics processing units, are a powerful means to speed up analyses; in the contexts of the BES III, Compass and GlueX experiments, parallel analysis frameworks have been created. They provide both fits that are faster by more than two orders of magnitude than legacy code and environments to quickly program and run an analysis. This in turn allows the physicists to focus on the...
Subjects
free text keywords: Physics - Data Analysis, Statistics and Probability, High Energy Physics - Experiment
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[1] J. J. Dudek, R. G. Edwards, B. Joo, M. J. Peardon, D. G. Richards, C. E. Thomas, Phys. Rev. D83 (2011) 111502. [arXiv:1102.4299 [hep-lat]].

[2] J. Z. Bai et al. [ BES Collaboration ], Phys. Rev. D68 (2003) 052003. [hep-ex/0307058].

[3] T. R. Halfhill, Microprocessor Report 01/28/08, 1-6 (2008).

[10] N. Berger, B.J. Liu, and J.K. Wang, J. Phys. Conf. Ser. 219, 042031 (2010).

[11] GPUPWA package, available at http://sourceforge.net/projects/gpupwa/.

[12] AMPTOOLS package, available at http://sourceforge.net/projects/amptools/.

[13] R. Brun, and F. Rademakers, Nucl. Instrum. Meth. A389, 81-86 (1997).

[14] ROOTPWA package, available at http://sourceforge.net/projects/rootpwa/.

[15] Amplitude Analysis in Hadron Spectroscopy, workshop at European Centre for Theoretical Studies in Nuclear Physics and Related Areas, Trento (2011), http://www.ect.it/.

[16] F. James, M. Roos, Comput. Phys. Commun. 10, 343-367 (1975).

[17] S. N. Dymov, V. S. Kurbatov, I. N. Silin, S. V. Yaschenko, Nucl. Instrum. Meth. A440, 431-437 (2000).

Abstract
Partial wave analysis is a key technique in hadron spectroscopy. The use of unbinned likelihood fits on large statistics data samples and ever more complex physics models makes this analysis technique computationally very expensive. Parallel computing techniques, in particular the use of graphics processing units, are a powerful means to speed up analyses; in the contexts of the BES III, Compass and GlueX experiments, parallel analysis frameworks have been created. They provide both fits that are faster by more than two orders of magnitude than legacy code and environments to quickly program and run an analysis. This in turn allows the physicists to focus on the...
Subjects
free text keywords: Physics - Data Analysis, Statistics and Probability, High Energy Physics - Experiment
Download from

[1] J. J. Dudek, R. G. Edwards, B. Joo, M. J. Peardon, D. G. Richards, C. E. Thomas, Phys. Rev. D83 (2011) 111502. [arXiv:1102.4299 [hep-lat]].

[2] J. Z. Bai et al. [ BES Collaboration ], Phys. Rev. D68 (2003) 052003. [hep-ex/0307058].

[3] T. R. Halfhill, Microprocessor Report 01/28/08, 1-6 (2008).

[10] N. Berger, B.J. Liu, and J.K. Wang, J. Phys. Conf. Ser. 219, 042031 (2010).

[11] GPUPWA package, available at http://sourceforge.net/projects/gpupwa/.

[12] AMPTOOLS package, available at http://sourceforge.net/projects/amptools/.

[13] R. Brun, and F. Rademakers, Nucl. Instrum. Meth. A389, 81-86 (1997).

[14] ROOTPWA package, available at http://sourceforge.net/projects/rootpwa/.

[15] Amplitude Analysis in Hadron Spectroscopy, workshop at European Centre for Theoretical Studies in Nuclear Physics and Related Areas, Trento (2011), http://www.ect.it/.

[16] F. James, M. Roos, Comput. Phys. Commun. 10, 343-367 (1975).

[17] S. N. Dymov, V. S. Kurbatov, I. N. Silin, S. V. Yaschenko, Nucl. Instrum. Meth. A440, 431-437 (2000).

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