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Significance calculation and a new analysis method in searching for new physics at the LHC

  • Experimental Physics
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Abstract.

The LHC experiments have great potential in discovering many possible new particles up to the TeV scale. The significance calculation of an observation of a physics signal with known location and shape is no longer valid when either the location or the shape of the signal is unknown. We find the current LHC significance calculation of new physics is over-estimated and strongly depends on the specifics of the method and the situation it applies to. We describe general procedures for significance calculation and comparing different search schemes. A new method uses maximum likelihood fits with floating parameters and scans the parameter space for the best fit to the entire sample. We find that the new method is significantly more sensitive than current method and is insensitive to the exact location of the new physics signal we search.

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References

  1. Particle Data Group, S. Eidelman et al. , Phys. Lett. B 592, 1 (2004)

    Article  ADS  Google Scholar 

  2. ATLAS Collaboration, ATLAS Detector and Physics Performance: Technical Design Report, 2, CERN-LHCC-99-015, ATLAS-TDR-15

  3. ATLAS notes on searching for new particles at the LHC, available at CERN Document Server http:/ cdsweb.cern.ch/, for example, ATL-PHYS-2003-005 by S. Asai et al.

  4. CMS notes on searching for new particles at the LHC, available at CERN Document Server http:/ cdsweb.cern.ch/, for example, CMS-NOTE-2003-033 by S. Abdullin et al.

  5. Y. Gao, New Analysis Strategy to Search for New Particles at LHC, hep-ex/0310011

  6. E.L. Lehmann, A Theory of some Multiple Decision Problems, Ann. Math. Stat., 28(1), 1 (1957)

    Google Scholar 

  7. R. O'Neill and G.B. Wetherill, The Present State of Multiple Comparison Methods, J. R. Stat. Soc. B, Methodol., 33(2), 218 (1971)

    Google Scholar 

  8. Liang Lu, Ph.D thesis, Southern Methodist University; the detailed results of this work are described in this thesis

  9. The R Project for Statistical Computing, http:/ www.r-project.org/

  10. B. Venables, An Introduction to R, ISBN 3-900051-12-7

  11. B. Ripley, R Data Import/Export, ISBN 3-900051-10-0

  12. An Introduction to SAS, http:/ www.itc.virginia.edu research sas training/v8/

  13. Documentation for MathWorks Products, Release 14 with Service Pack 2, http:/ www.mathworks.com/

  14. W. Verkerke, D. Kirkby, The RooFit Toolkit for Data Modeling, http:/ roofit.sourceforge.net/

  15. Private communication with D. Kirkby and W. Verkerke, authors of the RooFit package

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Correspondence to Yongsheng Gao.

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Gao, Y., Lu, L. & Wang, X. Significance calculation and a new analysis method in searching for new physics at the LHC. Eur. Phys. J. C 45, 659–667 (2006). https://doi.org/10.1140/epjc/s2005-02456-9

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  • DOI: https://doi.org/10.1140/epjc/s2005-02456-9

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