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Enhancing Efficiency in Data Analysis for Bs->Mu+Mu- Using Period Pattern Analysis

This study analyzes the impact of low efficiency in data from different trigger periods on the resolution of key selection variables in the Bs->Mu+Mu- analysis. The degradation of L00 efficiency affects resolution, particularly in Period 13, leading to wider distribution tails and decreased significance in uncertainty distributions. The study focuses on decay length preselection criteria and explores the effects on core distribution widths and opening angles. The analysis aims to quantify the issue, investigate distribution widths, tail percentages, and inefficiencies. Enhancing efficiency is crucial for improving the accuracy of key selection variables and overall analysis results.

leonard-rowe
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Enhancing Efficiency in Data Analysis for Bs->Mu+Mu- Using Period Pattern Analysis

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  1. L00 Efficiency seems low in new data • J/Psi Muons from jpmm dimuon trigger periods 12-17. Good CDF Muons • Lower L00 efficiency degrades resolution • Lower Resolution will effect key selection variables in our BsMu+Mu- analysis • Preselection on decay length(2D Lxy, 3D L3D) and lifetime (ctau) uncertainty • Selection on decay length significance for Lxy and L3D, ctau, and Pointing Angles

  2. Low Level Variables • Period 17 looks the worst, with a wide distribution • Matches with worst periods in terms of L00 efficiency • Other periods don’t follow any clear pattern, widths are sometimes narrower in later periods

  3. Period 13 looks bad as well How does this affect analysis variables?

  4. Example Period 13 Uncertainty Lxy Decay length uncertainty has a longer tail

  5. 3D Uncertainty Tail present in 3D distribution also

  6. Example Period 13 Significance Problem in uncertainty distributions effects significance variables Width of core distribution also wider

  7. Opening Angles (cont.) Opening angle distributions look fine

  8. Conclusions and Further Work: • Low level distributions and key selection variables for Bs->mumu analysis effected • Loss of resolution probably due to efficiency in L00 • We want to be able to quantify the problem • Investigate increase in widths of distributions • % of distributions in the tails • Look for patterns in the inefficiencies (vs. Run, phi or z).

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