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MVA Results Selection efficiency before

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Presentation on theme: "MVA Results Selection efficiency before"— Presentation transcript:

1 MVA Results Selection efficiency before
Inc B DiMuon: 72,852 events = 0.285% Tau 2 3 Mu: 12,443 events = 11.6% Selection efficiency after MVA Cut on variable ‘MVA_FisherResponse’ at optimum value (geometrical cuts only) Inc B DiMuon: 5,623 events = 0.022% Tau 2 3 Mu: 7,300 events = 6.8%

2 MVA Results Selection efficiency after MVA + further cuts Cut on:
Muon PIDmu > 5, muon PIDK < 20, muon PIDp < -20 Muon track fit χ2/ndof < 2 Tau vertex direction > Tau vertex IP χ2 < 150 Inc B DiMuon: 21 events = very small! Tau 2 3 Mu: 1,012 events = 0.95%

3 MVA Results Selection efficiency after MVA + further cuts
Need ~ 1 background event and ~ 1% signal selection to be competitive Need to include L0 trigger response – expect ~ 10% Investigate further using DOCA, nShared, clonefinder, IPS mu etc...

4 Heidelberg approach Use a loose preselection: DLL(mu – pi) > - 20
Tau mass window +/- 120MeV Tau vertex fit χ2 < 100 Signal preselection: 56,369/106,695 = 52.8% Background preselection: 9,439,259/25,574,200 = 36.9% Apply Heidelberg cuts →

5 Heidelberg approach Heidelberg Manchester Cut variable Signal (N-1)
Background (N-1) Min Pt(μ) > 0.35 GeV 3.4% 50.0% 23,962 1,320,946 Max Pt(μ) > 1.1 GeV 4.5% 75.0% 14,694 339,060 Min IPS(μ) > 2.5 15.2% 85.7% 10,474 81,071 Max IPS(μ) > 6.0 4.6% 10,460 79,851 Mass(2μ) > 240 MeV 0.3% 10,140 60,317 DLL(μ-π) > -2.5 5.5% 80.0% 9,604 25,654 DLL(μ-K) > 6 21.2% 98.1% 7,043 5,781 Nshared ≤ 2 1.1% 6,925 5,353 ‘Clonefinder’ 4.0% 6,726 5,098 DOCA(μ, μ) < 0.065mm 3.1% 66.7% 4,670 510 χ2 (τ vertex) < 5.8 9.6% 90.0% 4,147 319 cos(Ф) > 0.8% 95.5% 3,299 127 IPS(τ) > 7.0 18.3% 94.4% 1,105 (1,084) 105 (105)

6 Heidelberg approach Heidelberg Manchester Cut variable Signal (N-1)
Background (N-1) Min Pt(μ) > 0.35 GeV 3.4% 50.0% 12.6% 11.1% Max Pt(μ) > 1.1 GeV 4.5% 75.0% 9.7% Min IPS(μ) > 2.5 15.2% 85.7% 6.8% Max IPS(μ) > 6.0 4.6% 1.9% Mass(2μ) > 240 MeV 0.3% 2.8% DLL(μ-π) > -2.5 5.5% 80.0% DLL(μ-K) > 6 21.2% 98.1% 21.0% Nshared ≤ 2 1.1% 3.0% ‘Clonefinder’ 4.0% 3.9% DOCA(μ, μ) < 0.065mm 3.1% 66.7% 17.0% χ2 (τ vertex) < 5.8 9.6% 90.0% 15.3% cos(Ф) > 0.8% 95.5% 41.2% IPS(τ) > 7.0 18.3% 94.4% 67.1%


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