1. C.Clement07-02-23 6 MLP networks in 5 different η regions ROOT TMultiLayerPerceptron Weight events with pT x weight(type) Signal training samples: z->ee,W->ev/+jets, ttbar Background samples: Jn.root n=1,..,8 Loosen precuts to have enough statistics to train Eta region dependent precut No overlap b/w training and estimate sample 1 Bin1 Eta RegionTraining region Bin 1 |  |<0.8 Bin 2 0.8<|  |<1.37 Bin 3 1.37<|  |<1.51.2<|  |<1.7 (B) 1.3<|  |<1.6 (S) Bin 4 1.5<|  |<1.751.3<|  |<2.2 (B) 1.5<|  |<1.75 (S) Bin 5 1.75<|  |<2.01.3<|  |<2.2 (B) 1.75<|  |<2.0 (S) Bin 6 2.0<|  |<2.35 A tool for electron identification at AOD level

2. C.Clement07-02-23 |  |<0.8 0.8<|  |<1.37 1.5<|  |<1.75 1.75<|  |<2.0 AbsTrack_El_d0 EM37_El_DeltaEta El_Ehad1OverEt El_EoverP El_calRatio El_e2tsts1 El_emins1 El_etcone El_f1 El_fracs1 El_weta1 El_weta2 El_wtots1 n_El_TRTratio 2.0<|  |<2.35 AbsTrack_El_d0 EM37_El_DeltaEta El_Ehad1OverEt El_EoverP El_calRatio El_e2tsts1 El_emins1 El_etcone El_f1 El_fracs1 El_weta1 El_weta2 El_wtots1 1.37<|  |<1.5 AbsTrack_El_d0 EM37_El_DeltaEta El_Ehad1OverEt El_EoverP El_calRatio El_etcone El_weta1 El_weta2 n_El_TRTratio 2 Same variables As the december discriminant

3. C.Clement07-02-23 Compare performance with official isEM Find TMVA cut that gives in each eta region the same rejection as isEM and compare resulting efficiency. N(signal after precutA & isEM)  (isEM) = --------------------------------------- N(signal precutA) N(bkg after precutA & isEM) f(isEM) = ------------------------------------- N(bkg after precutA) N(signal after precutA & precut & Discriminant>X)  (MLP) = ----------------------------------------------------- N(signal precutA) N(bkg after precutA & precut & Discriminant>X) f(MLP) = ----------------------------------------------------- N(bkg after precutA) precutA = 1.El_author==1 2.El_p_T>15GeV Adjust X cut so that f(MLP) = f(isEM) 3 Definition of efficiency and fake rate Look so far only at marginal efficiency of isEM or MLP wrt to an EM cluster Unchanged definition Previously 20GeV Now 15 to fully exploit 15GeV diem trigger

4. C.Clement07-02-23 4 Determine automatically cut on MLP discriminant TMLP vs isEM Efficiency and fake rate for isEM and MLP...

5. C.Clement07-02-23 4 Efficiency and fake rate for isEM and MLP... TMLP vs isEM

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10. C.Clement07-02-23 Now it is much clearer!

11. C.Clement07-02-23 AND all isEM flags Fake rateEfficiency With TRT0.00110.78 W/o TRT0.00320.92 isEM with and without TRT (|  |<0.8) Conclusion: 1) all this work was totally useless! 2) free up your mind of what other people want you to do 3) fix the TRT info in reconstruction?

12. C.Clement07-02-23 Some susy thoughts concerning ee/emu/mumu... Very preliminary... Non Universal Higgs Mass modles (NUHM)  ” γ”Benchmark point consistent with b→sγ and g-2 measurements  2 body decay of the chi02 not allowed -> no characteristic 2-body endpoint  SN-ATLAS-2006-058  Gluino, squark all in the range 500-650 GeV dominant (65%) or chargino production b 1 ~ → chi02, chi-1, chi-2  Plenty of eμ! Z or W in the decays

13. C.Clement07-02-23 mSUGRA focus point  ”In most mSUGRA parameter space the neutralino relic density is larger than Ω DM ”  Focus point region (m 1/2 << m o ) the lightest neutalino has enhanced χχ annihilation XS  Most abundant g~→ χ o tt g~→ χ +/- tb  Plenty of e μ !

14. C.Clement07-02-23 mSUGRA Snowmass point 5  One of the old historical point, might well be excluded by cosmological costraints  g~ → t 1 t (40% of g~ decays)  And largge B(t1 → χ +/- b) χ +/- decays to W...  Should be plenty of eμ! Investigate SU3, SU8 simulated samples What about AMSB, GMSB, split- SUSY,...? Look at ration Nee/Nemu But in general many tops and charginos which give uncorrelated dilepton flavor  Opposed to slepton production which give same flavor leptons First attempt yesterday: 200k SU3 simulated events # dielectron events = 3258 # dimuon = 266!!! # electron-muon = 2443 Something is wrong...