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MC BDT numbers in third and fourth preshower bins
MC BDT numbers in third and fourth preshower bins
(I) Variables used for training
(1) nCh (2) nBtow (3) nEtow (4) ptBalance (5) R3x3jet7 (6) R2x2jet7 (7) R2x1jet7 (8) R2x1c3x3 (9) R2x1c2x2
(10) R2x2c3x3 (11) nU (12) nV (13) fiveStripU/twentyfiveStripU (14) fiveStripV/twentyfiveStripV (15) ePre1
(16) ePre2 (17) ePost
(II) Preselection Cuts
(i) z vertex cut -100cm<z<100cm
(ii) Neutral fraction of jet matched to photon >0.9
(iii) cos(phi_gamma - phi_jet)<-0.8
(iv) |eta_jet|<0.8
(v) ptGamma > 7.0 GeV
(vi) ptJet > 5.0 GeV
(vii) 1.08 < eta_gamma<2.0
(viii) Number of hits in each SMD plane > 3
(ix) Away side jet neutral fraction <0.9
I) Background rejection vs signal efficiency plots
Third preshower bin Fourth preshower bin
II) BDT discriminant output
Third preshower bin Fourth preshower bin
III) Efficiency plots
Third preshower bin Fourth preshower bin
Preshower bin | #signal, #background | Optimal-cut | S/sqrt(S+B) | Nsig | Nbkg | EffSig | EffBkg |
Third (0<Pre1<4MeV) | 265,11217 | -0.0341 | 4.59 | 168 | 1173 | 0.63 | 0.105 |
Fourth (4<Pre1<10MeV) |
224, 19596 | -0.0659 | 3.24 | 124 | 1339 | 0.55 | 0.068 |
Note: Numbers quoted in this table are what we hope to get after scaling prompt photon and QCD background to 3.1 pb-1.
We still have huge QCD background and should probably think of running private simulation with parameters adjusted to pytune 320(perugia0).
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