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Enhanced Signal Detection with MVA: Achieving Higher Sensitivity in HWW130.dR Analysis

This study explores the improvements in signal detection when applying MVA (Matrix Variable Analysis) techniques to HWW130.dR measurements. By utilizing cut-based methods alongside MVA, we achieve an increase in sensitivity, showcasing an effective strategy to optimize signal identification. The results indicate that MVA provides approximately 20% more signal sensitivity compared to traditional cut-based approaches. Key metrics such as S=0.31, B=1.44, and MVA-based outcomes demonstrate the viability of MVA for enhanced analysis in high-energy physics experiments.

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Enhanced Signal Detection with MVA: Achieving Higher Sensitivity in HWW130.dR Analysis

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  1. HWW130

  2. dR<0.43  0.33 S , 1.6 B

  3. Cut-based S=0.26 B=1.44 MVA S=0.26  B( cut-based) = 1.44 / B(MVA)=1.20 B(MVA)=1.44  S=0.31  20% more signalwith MVA

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