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Boosted Decision Trees for Supersymmetry Searches

Boosted Decision Trees for Supersymmetry Searches. Timothy Brooks Year 1 PhD Student Royal Holloway University of London. Boosted Decision Tree Separation. SU4 mSUGRA Point Backgrounds considered: Ttbar production W+Z production Comparisons made to Multi-lepton cuts.

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Boosted Decision Trees for Supersymmetry Searches

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  1. Boosted Decision Trees for Supersymmetry Searches Timothy Brooks Year 1 PhD Student Royal Holloway University of London

  2. Boosted Decision TreeSeparation SU4 mSUGRA Point Backgrounds considered: Ttbar production W+Z production Comparisons made to Multi-lepton cuts. Precut requires NLeptons >= 3 Trained on full MC sample (without cuts) to maximise training sample. 400 trees used here. s = 63.4 b = 32.8 Z = 8.96

  3. Boosted Decision TreeSignificance 5 σ excess at 31.15 pb-1 Effect of over boosting investigated. Significance estimation needs to include background uncertainties. Need to move to Di-lepton + 4 jet analysis. Aim is to investigate if a BDT run on control and expected signal regions can extract the top component in the signal region. To recover higher statistics, channels with jet multiplicities lower than 4 will be investigated.

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