Summer16 Samples:
Spring16 samples (MiniAODv2):
BACKGROUND reHLT:
BACKGROUND without HLT:
Work Log for H->hh->tautaubb
fMass_withNu_350_DY_Embed_.pdf, fMass_withNu_350_DY_MC_.pdf
where:
fMass_withSVFit_350_DY_Embed_.pdf, fMass_withSVFit_350_DY_MC_.pdf
BDT_ggHTohh-limit.pdf
shape from 1M or 2M
svMass__1.0_DYttLep_method2.pdf: 
shape from 1L or 2L
svMass__1.0_DYttLep_method3.pdf:
shape from 1M or 2M
svMass__1.0_DYttLep_method2.pdf:
DYttlepEstimate.txt
comparison_fMassKinFit_scale_t_qcd1.5-10.pdf, comparison_fMassKinFit_scale_t_qcd3.0-10.pdf
1M1NonM.zip, 2M.zip
table4.txt
corrMatrix_kinFitGreater200.pdf
BDT_Eff_11_4.pdf
corrMatrix_kinFitGreater200_newKinFit.pdf
table2_oldKinFit_noChi2Cut.txt
1) tau 1 -- kOneProng0PiZero: pt1_1_0.pdf
2) tau 1 -- kOneProng1PiZero: pt1_1_1.pdf
3) tau 1 -- kThreeProng0PiZero: pt1_1_10.pdf
Due to not being able to access ByMediumCombinedIsolationDBSumPtCorr3Hits, we looked into using variable byCombinedIsolationDeltaBetaCorrRaw3Hits for isolation.
From the results ( eventDisplay) of 7 events passing:
| Diboson | generator | Number of events | xsec (pb) | SF |
|---|---|---|---|---|
| /VVTo2L2Nu_13TeV_amcatnloFXFX_madspin_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM | MG5_aMCNLO | 2944584 | 11.95 | |
| /ZZTo2L2Q_13TeV_amcatnloFXFX_madspin_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM | MG5_aMCNLO | 15492017 | 3.22 | |
| /ZZTo4L_13TeV_powheg_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM | Powheg | 6638328 | 1.256 (LO) |
|
| /WWToLNuQQ_13TeV-powheg/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM | MG5_aMCNLO | 5235265 | 1.212 | |
| /WZTo2L2Q_13TeV_amcatnloFXFX_madspin_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM |
MG5_aMCNLO | 26517272 | 5.52 (LO) |
|
| /WZTo1L3Nu_13TeV_amcatnloFXFX_madspin_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM | MG5_aMCNLO | 1654964 | 3.05 | |
| /WZTo1L1Nu2Q_13TeV_amcatnloFXFX_madspin_pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v3/MINIAODSIM | MG5_aMCNLO | 19309898 | 10.71 | |
| /WZJToLLLNu_TuneCUETP8M1_13TeV-amcnlo-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM | MG5_aMCNLO | 19500618 | 4.708 | |
| Single top | generator | Number of events | xsec (pb) | SF |
| /ST_s-channel_4f_leptonDecays_13TeV-amcatnlo-pythia8_TuneCUETP8M1/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM | MG5_aMCNLO | 1000000 | 10.32*0.108*3 (NLO) | |
| /ST_tW_antitop_5f_inclusiveDecays_13TeV-powheg-pythia8_TuneCUETP8M1/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM | Powheg | 967600 | 35.6(approx. NNLO) | |
| /ST_tW_top_5f_inclusiveDecays_13TeV-powheg-pythia8_TuneCUETP8M1/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM | Powheg | 998400 | 35.6(approx. NNLO) | |
| /ST_t-channel_top_4f_inclusiveDecays_13TeV-powhegV2-madspin-pythia8_TuneCUETP8M1/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM | Powheg | 67240808 | 136.02 (NLO) | |
| /ST_t-channel_antitop_4f_inclusiveDecays_13TeV-powhegV2-madspin-pythia8_TuneCUETP8M1/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM | Powheg | 38811017 | 80.95 (NLO) | |
| ttbar | generator | Number of events | xsec (pb) | SF |
| /TT_TuneCUETP8M2T4_13TeV-powheg-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM | Powheg | 92925926 | 831.76 (NNLO) | |
| W+jets | generator | Number of events | xsec (pb) | SF |
| /WJetsToLNu_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM | LO MG5 | 99699582 | 61526.7 (NNLO) | |
| W+jets HT-binned | generator | Number of events | xsec (pb) | SF |
| /WJetsToLNu_HT-100To200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext2-v1/MINIAODSIM | LO MG5 | 39617787 | 1345 (LO) |
61526.7/50690 = 1.214 |
| /WJetsToLNu_HT-200To400_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext2-v1/MINIAODSIM | LO MG5 | 19914590 | 359.7 (LO) |
61526.7/50690 = 1.214 |
| /WJetsToLNu_HT-400To600_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM |
LO MG5 | 5796237 | 48.91 (LO) |
61526.7/50690 = 1.214 |
| /WJetsToLNu_HT-600To800_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM | LO MG5 | 14908339 | 12.05 (LO) |
61526.7/50690 = 1.214 |
| /WJetsToLNu_HT-800To1200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM | LO MG5 | 6200954 | 5.501 (LO) |
61526.7/50690 = 1.214 |
| /WJetsToLNu_HT-1200To2500_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM | LO MG5 | 6627909 | 1.329 (LO) |
61526.7/50690 = 1.214 |
| /WJetsToLNu_HT-2500ToInf_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM | LO MG5 | 2384260 | 0.03216 (LO) |
61526.7/50690 = 1.214 |
| DY+jets | generator | Number of events | xsec (pb) | SF |
| /DYJetsToLL_M-50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v2/MINIAODSIM |
MG5_aMCNLO | 49144274 | 5765.4 (NNLO) | 5765.4/4895=1.178 |
| /DYJetsToLL_M-200to400_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext2-v2/MINIAODSIM |
295242 | 7.67 (MCM) | 5765.4/4895=1.178 | |
| /DYJetsToLL_M-400to500_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM |
287262 | 0.423(MCM) | 5765.4/4895=1.178 | |
| /DYJetsToLL_M-500to700_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM |
280940 | 0.24(MCM) | 5765.4/4895=1.178 | |
| /DYJetsToLL_M-700to800_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM |
276235 | 0.035(MCM) | 5765.4/4895=1.178 | |
| /DYJetsToLL_M-800to1000_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM |
271768 | 0.03 (MCM) | 5765.4/4895=1.178 | |
| /DYJetsToLL_M-1000to1500_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM |
258620 | 0.016(MCM) | 5765.4/4895=1.178 | |
| /DYJetsToLL_M-1500to2000_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM |
258625 | 0.002 (MCM) | 5765.4/4895=1.178 | |
| /DYJetsToLL_M-2000to3000_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6_ext1-v1/MINIAODSIM |
255342 | 0.00054 (MCM) | 5765.4/4895=1.178 |
| Diboson | generator | Number of events | xsec (pb) | SF |
|---|---|---|---|---|
| MG5_aMCNLO | 2944584 | 12.05 (LO) |
||
| MG5_aMCNLO | 15498581 | 3.38 (LO) |
||
| Powheg | 6638328 | 1.256 (LO) |
||
| MG5_aMCNLO | 5235265 | 45.85 (LO) |
||
| MG5_aMCNLO | 25996157 | 5.52 (LO) |
||
| Powheg | 2000000 | 4.42965 (LO) |
||
| MG5_aMCNLO | 1654964 | 3.05 (LO) |
||
| MG5_aMCNLO | 19500618 | 10.96 (LO) |
||
| Single top | generator | Number of events | xsec (pb) | SF |
| MG5_aMCNLO | 1000000 | 10.32*0.108*3 (NLO) | ||
| Powheg | 5388717 | 35.6*(1-0.676*0.676) (approx. NNLO) | ||
| Powheg | 5405726 | 35.6*(1-0.676*0.676) (approx. NNLO) | ||
| Powheg | 3279200 | 136.02*0.108*3 (NLO) | ||
| Powheg | 1682400 | 80.95*0.108*3 (NLO) | ||
| ttbar | generator | Number of events | xsec (pb) | SF |
| /TTJets_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISpring16MiniAODv2-PUSpring16RAWAODSIM_reHLT_80X_mcRun2_asymptotic_v14-v1/MINIAODSIM | MG5_aMCNLO | 38261382 | 831.76 (NNLO) | |
| /TT_TuneCUETP8M1_13TeV-powheg-pythia8/RunIISpring16MiniAODv2-PUSpring16RAWAODSIM_reHLT_80X_mcRun2_asymptotic_v14_ext3-v1/MINIAODSIM | Powheg | 92925926 | 831.76 (NNLO) | |
| W+jets | generator | Number of events | xsec (pb) | SF |
| /WJetsToLNu_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISpring16MiniAODv2-PUSpring16RAWAODSIM_reHLT_80X_mcRun2_asymptotic_v14_ext1-v1/MINIAODSIM | MG5_aMCNLO | 47502020 | 61526.7 (NNLO) | |
| W+jets HT-binned | generator | Number of events | xsec (pb) | SF |
| LO MG5 | 27546978 | 1345 (LO) |
61526.7/50690 = 1.214 | |
| LO MG5 | 14888384 | 359.7 (LO) |
61526.7/50690 = 1.214 | |
| LO MG5 | 1963464 | 48.91 (LO) |
61526.7/50690 = 1.214 | |
| LO MG5 | 3722395 | 12.05 (LO) |
61526.7/50690 = 1.214 | |
| LO MG5 | 6314257 | 5.501 (LO) |
61526.7/50690 = 1.214 | |
| LO MG5 | 246737 | 1.329 (LO) |
61526.7/50690 = 1.214 | |
| LO MG5 | 253561 | 0.03216 (LO) |
61526.7/50690 = 1.214 | |
| DY+jets | generator | Number of events | xsec (pb) | SF |
| /DYJetsToLL_M-50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16RAWAODSIM_reHLT_80X_mcRun2_asymptotic_v14_ext1-v1/MINIAODSIM | MG5_aMCNLO | 91350867 | 6025.2 (NNLO) |
| Diboson | generator | Number of events | xsec (pb) | SF |
|---|---|---|---|---|
| /VVTo2L2Nu_13TeV_amcatnloFXFX_madspin_pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | MG5_aMCNLO | 2944584 | 12.05 (LO) |
|
| /ZZTo2L2Q_13TeV_amcatnloFXFX_madspin_pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | MG5_aMCNLO | 15498581 | 3.38 (LO) |
|
| /ZZTo4L_13TeV_powheg_pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | Powheg | 6638328 | 1.256 (LO) |
|
| /WWTo1L1Nu2Q_13TeV_amcatnloFXFX_madspin_pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | MG5_aMCNLO | 5235265 | 45.85 (LO) |
|
| /WZTo2L2Q_13TeV_amcatnloFXFX_madspin_pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | MG5_aMCNLO | 25996157 | 5.52 (LO) |
|
| /WZTo3LNu_TuneCUETP8M1_13TeV-powheg-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | Powheg | 2000000 | 4.42965 (LO) |
|
| /WZTo1L3Nu_13TeV_amcatnloFXFX_madspin_pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | MG5_aMCNLO | 1654964 | 3.05 (LO) |
|
| /WZTo1L1Nu2Q_13TeV_amcatnloFXFX_madspin_pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | MG5_aMCNLO | 19500618 | 10.96 (LO) |
|
| Single top | generator | Number of events | xsec (pb) | SF |
| /ST_s-channel_4f_leptonDecays_13TeV-amcatnlo-pythia8_TuneCUETP8M1/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | MG5_aMCNLO | 1000000 | 10.32*0.108*3 (NLO) | |
| /ST_tW_antitop_5f_NoFullyHadronicDecays_13TeV-powheg_TuneCUETP8M1/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | Powheg | 5388717 | 35.6*(1-0.676*0.676) (approx. NNLO) | |
| /ST_tW_top_5f_NoFullyHadronicDecays_13TeV-powheg_TuneCUETP8M1/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | Powheg | 5405726 | 35.6*(1-0.676*0.676) (approx. NNLO) | |
| /ST_t-channel_top_4f_leptonDecays_13TeV-powheg-pythia8_TuneCUETP8M1/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | Powheg | 3279200 | 136.02*0.108*3 (NLO) | |
| /ST_t-channel_antitop_4f_leptonDecays_13TeV-powheg-pythia8_TuneCUETP8M1/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | Powheg | 1682400 | 80.95*0.108*3 (NLO) | |
| ttbar | generator | Number of events | xsec (pb) | SF |
| /TTJets_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISpring16MiniAODv2-PUSpring16RAWAODSIM_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | MG5_aMCNLO | 37604900 | 831.76 (NNLO) | |
| /TT_TuneCUETP8M1_13TeV-powheg-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0_ext4-v1/MINIAODSIM | Powheg | 182123200 | 831.76 (NNLO) | |
| W+jets | generator | Number of events | xsec (pb) | SF |
| /WJetsToLNu_TuneCUETP8M1_13TeV-amcatnloFXFX-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | MG5_aMCNLO | 9908534 | 61526.7 (NNLO) | |
| /WJetsToLNu_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | LO MG5 | 25431330 | 61526.7 (NNLO) | |
| W+jets HT-binned | generator | Number of events | xsec (pb) | SF |
| /WJetsToLNu_HT-100To200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0_ext1-v1/MINIAODSIM | LO MG5 | 27546978 | 1345 (LO) |
61526.7/50690 = 1.214 |
| /WJetsToLNu_HT-200To400_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0_ext1-v1/MINIAODSIM | LO MG5 | 14888384 | 359.7 (LO) |
61526.7/50690 = 1.214 |
| /WJetsToLNu_HT-400To600_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | LO MG5 | 1963464 | 48.91 (LO) |
61526.7/50690 = 1.214 |
| /WJetsToLNu_HT-600To800_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | LO MG5 | 3722395 | 12.05 (LO) |
61526.7/50690 = 1.214 |
| /WJetsToLNu_HT-800To1200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0_ext1-v1/MINIAODSIM | LO MG5 | 6314257 | 5.501 (LO) |
61526.7/50690 = 1.214 |
| /WJetsToLNu_HT-1200To2500_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | LO MG5 | 246737 | 1.329 (LO) |
61526.7/50690 = 1.214 |
| /WJetsToLNu_HT-2500ToInf_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | LO MG5 | 253561 | 0.03216 (LO) |
61526.7/50690 = 1.214 |
| DY+jets | generator | Number of events | xsec (pb) | SF |
| /DYJetsToLL_M-50_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0_ext1-v1/MINIAODSIM | MG5_aMCNLO | 49877138 | 6025.2 (NNLO) | |
| /DYJetsToLL_M-50_HT-100to200_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0_ext1-v1/MINIAODSIM | 8434125 | |||
| /DYJetsToLL_M-50_HT-200to400_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0_ext1-v1/MINIAODSIM | 8683719 | |||
| /DYJetsToLL_M-50_HT-400to600_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0_ext1-v1/MINIAODSIM | 8317271 | |||
| /DYJetsToLL_M-50_HT-600toInf_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0_ext1-v1/MINIAODSIM | 4116330 | |||
| /DYJetsToLL_M-150_TuneCUETP8M1_13TeV-madgraphMLM-pythia8/RunIISpring16MiniAODv2-PUSpring16_80X_mcRun2_asymptotic_2016_miniAODv2_v0-v1/MINIAODSIM | 6108651 | 6.657 |
Q&A
https://twiki.cern.ch/twiki/bin/view/Sandbox/HTohhToTauTaubbQA11/3/2015
reRun.pdf10/16/2015
lumi594.key10/9/2015
mass.key ZPrimeTalk.pdf10/2/2015
eID_compare.pdf9/30/2015
trigger3.pdf9/29/2015
eTurnOn_withEMu.pdf eleID_ZPrime500.pdf eleID_ZPrime2000.pdf eleID_ZPrime5000.pdf eleTrigTurnOnCurve_ePt_em_barrel.pdf eleTrigTurnOnCurve_ePt_em_endcap.pdf9/28/2015
eleTrigTurnOnCurve_ePt_em.pdf9/25/2015
Electron trigger estimation using ee final state: eTrigger.pdf eleID_SUSY160.pdf eleID_ZPrime500.pdf eleID_ZPrime2000.pdf eleID_ZPrime5000.pdf9/16/2015
13TeV_et_ZPrime.pdf 13TeV_em_ZPrime.pdf9/15/2015
tables.pdf9/14/2015
13TeV_em.pdf 13TeV_et.pdf 13TeV_mt.pdf 13TeV_tt.pdf tauTrigTurnOnCurve_tPt_et.pdf, tauTrigTurnOnCurve_tPt_et_1p5To3.pdf, tauTrigTurnOnCurve_tPt_et_3To5.pdf tauTrigTurnOnCurve_tPt_mt.pdf, tauTrigTurnOnCurve_tPt_mt_1p5To3.pdf, tauTrigTurnOnCurve_tPt_mt_3To5.pdf tauTrigTurnOnCurve_tPt_et_5To10.pdf, tauTrigTurnOnCurve_tPt_et_10.pdf tauTrigTurnOnCurve_tPt_mt_5To10.pdf, tauTrigTurnOnCurve_tPt_mt_10.pdf9/9/2015
tauTrigTurnOnCurve_tPt_mt.pdf tauTrigTurnOnCurve_tPt_et.pdf8/20/2015
25ns vs 50ns compare_DY_et.pdf, compare_DY_em.pdf, compare_DY_mt.pdf, compare_WJets_et.pdf, compare_WJets_em.pdf, compare_WJets_mt.pdf compare_TTJets_et.pdf, compare_TTJets_em.pdf, compare_TTJets_mt.pdf7/12/2015
ZtoTauTau.pdf ZtoTauTau1.1.pdf ZtoTauTau_4ZPrime.pdf7/11/2015
tauTrigTurnOnCurve.pdf7/10/2015
13TeV_em.pdf 13TeV_et.pdf 13TeV_mt.pdf 13TeV_tt.pdf7/7/2015
13TeV_em.pdf 13TeV_mt.pdf 13TeV_tt.pdf7/5/2015
13TeV_tt.pdf genmet.pdf pfmet.pdf taus.pdf taufit.pdf7/28/2015
fit.pdf frame_H300_1.pdf H300_2.pdf H300_1.pdf7/17/2015
fMass_vis_350_DY_Embed_.pdf, fMass_vis_350_DY_MC_.pdf fMass_withMEt_350_DY_Embed_.pdf, fMass_withMEt_350_DY_MC_.pdf6/18/2015
13TeVSensetivity.pdf TTJet_OSTight_comparison.pdf DY_OSTight_comparison.pdf6/17/2015
ttYields.pdf6/16/2015
TTJet_comparison.pdf6/15/2015
tauTrigStudy.pdf6/9/2015
higgsPtRange_0_99999_mH300.pdf6/8/2015
higgsPtRange_0_99999.pdf higgsPtRangeBin50.zip higgsPtRangeBin20.zip higgsPtRangeBin10.zip6/5/2015
higgsPtRanges.zip5/20/2015
L1Trig1.2.pdf5/19/2015
L1Trig1.1.pdf5/18/2015
L1Trig.pdf5/11/2015
trigRate.pdf trigRateTau.pdf rates.txt trigRateClean.pdf trigRateExtraJet.pdf trigRateClean_015.pdf trigRate_015.pdf trigRateExtraJet_015.pdf5/5/2015
tau_35.pdf tau_30.pdf5/4/2015
patJetPt.pdf evtDump_patJets.txt l1TauPt_zoom.pdf 8TeV_SM_h2tautau_30.pdf 8TeV_SM_h2tautau_45.pdf taujet.txt5/1/2015
8TeV.pdf jetPt2.pdf evtDump.txt4/29/2015
l1TauPt.pdf jetPt.pdf4/27/2015
tauPt_2.pdf4/24/2015
tauPt_2.pdf4/22/2015
tauPt.pdf4/21/2015
l1vspat.pdf4/17/2015
2tag.pdf4/16/2015
012.zip4/15/2015
012.txt scale_tau_pt_01.pdf scale_jet_pt_01.pdf ttbarNorm_012.pdf4/14/2015
tauPtVariations.zip 0and1tag_pullsTable.pdf4/9/2015
0Tag_fits.zip 01tag_fits.zip4/2/2015
0and1tag.pdf3/18/2015
AN_materials_Mar18.zip3/17/2015
binning_0.1_25.txt3/13/2015
compareBinning.txt binningPlots.zip tt_ggHTohh-limit_unblind_0.05_25.txt tt_ggHTohh-limit_unblind_0.05_20.txt3/12/2015
binning_0.05_20.txt, binning_0.05_25.txt binning_0.1_20.txt, binning_0.1_25.txt3/11/2015
limit_0.05.txt limit_ceiling.txt3/9/2015
cutbased_default.txt tt_ggHTohh-limit_cutBased.txt tt_ggHTohh-limit_BDT.txt3/6/2015
Default_Limits.txt INFNVSBrown_limit.pdf3/5/2015
tt_ggHTohh-limit_12.txt tt_ggHTohh-limit_012.txt2/24/2015
Feb24_AN_material.zip2/17/2015
normalizationSystematics_massWindow.txt normalizationSystematics.txt2/13/2015
bSys_Systematics.txt bSys_Systematics_massWindow.txt ZTT_Systematic.txt ZTT_Systematic_massWindow.txt2/12/2015
BDT-Checks2.zip2/11/2015
BDT-Checks.zip2/9/2015
mlfit_el_br_300.txt mlfit_el_it_300.txt mlfit_rl.txt2/4/2015
comparison_BDT350_scale_t.pdf limit_automatic.pdf limit_automatic.txt bins_automatic.txt2/2/2015
comparison_fMassKinFit_Brown_pt_vs_Brown_iso.pdf comparison_fMassKinFit_Brown_iso_vs_Brown_region.pdf ZTT_yield.txt1/27/2015
Limit comparison: 1) cut based vs BDT (blinded): limit-cutBasedVSBDT-blind.pdf 2) cut based vs BDT (unblinded): limit-cutBasedVSBDT-unblind.pdf 3) BDT (blinded) vs BDT (unblinded): limit-BDT-blindVSBDT-unblind.pdf1/26/2015
comparison_Category_scale_btag_8TeV.pdf comparison_fMassKinFit_scale_t_Jan26.pdf, comparison_fMassKinFit_scale_j_Jan26.pdf, comparison_fMassKinFit_scale_btag_Jan26.pdf, limit_comparison_br_it_012_Jan26.txt1/25/2015
comparison_pt1_scale_t.pdf comparison_CSVJ1Pt_scale_j_8TeV.pdf1/23/2015
http://www.hep.wisc.edu/~elaird/12_bdt_templates/v1/
BDT_ggHTohh-limit.pdf
1/22/2015
lim_cb_012.txt, lim_cb_12.txt IT-limits.txt1/13/2015
BDT_1.0_DY_Embed_H350.pdf1/12/2015
svMass__1.0_DYttLep_method1.pdf:
shape from 1M or 2M
svMass__1.0_DYttLep_method2.pdf:
shape from 1L or 2L
svMass__1.0_DYttLep_method3.pdf:
shape from 1M or 2M
1/9/2015
svMass__1.0_DY_MC.pdf svMass__1.0_DY_Embed.pdf svMass__1.0_DYttLep_method1.pdf:
svMass__1.0_DYttLep_method2.pdf:
DYttlepEstimate.txt
1/8/2015
comparison_fMassKinFit_scale_t-1.pdf limit_comparison.txt DY_estimation.txt svMass_2015.1.8.pdf1/5/2015
differences.pdf12/19/2014
qcd_likelihoods.txt qcd_slides.pdf L2M_fit.pdf, L2M_arithmetic.pdf R2T_fit.pdf QCD_fit1.pdf, QCD_fit2.pdf QCD_arithmetic2.pdf12/17/2014
QCD_estimations.txt comparison_Italians_Brown_QCD_norm_from_OS_L_to_M.pdf tauTau_2jet1tag_prefit_8TeV_LIN.pdf tauTau_2jet2tag_prefit_8TeV_LIN.pdf12/15/2014
comparison_BrownNew_windows.pdf, comparison_BrownOld_BrownNewAfterWindows.pdf comparison_BrownOld_BrownNewBeforeWindows.pdf comparison_Italians_Brown_with_embedded.pdf12/11/2014
Status update: 1) QCD: We have been tracking down the differences in even selection and have reduced the difference in Same Sign Relaxed Data Sample from ~10% to ~1% dataC_difference_Before.pdf, dataC_difference_Now.pdf 2) Embedde DY: EmbeddedSample.pdf12/8/2014
scaleFactorCompare2.pdf svMass_4.pdf12/7/2014
svMass control mass with INFN QCD estimation method: svMass_2.pdf scaleFactorCompare.pdf12/5/2014
svMass__1.0.pdf BDT_260_1.5.pdf, BDT_300_1.5.pdf, BDT_350_1.5.pdf, BDT_1.5.zip BDT_260_1.0.pdf, BDT_300_1.0.pdf, BDT_350_1.0.pdf, BDT_1.0.zip12/3/2014
260_fMassKinFit_scale_t.pdf, 260_svMass_scale_t.pdf 300_fMassKinFit_scale_t.pdf, 300_svMass_scale_t.pdf 350_fMassKinFit_scale_t.pdf, 350_svMass_scale_t.pdf INFN old_vs_new_fMassKinFit_scale_t.pdf tauTau_2jet1tag_prefit_8TeV_LIN.pdf, tauTau_2jet1tag_prefit_8TeV_LIN_2xQCD.pdf tauTau_2jet2tag_prefit_8TeV_LIN.pdf, tauTau_2jet2tag_prefit_8TeV_LIN_2xQCD.pdf12/2/2014
1tag_svMass_scale_t.pdf, 1tag_svMass_scale_j.pdf 2tag_svMass_scale_t.pdf, 2tag_svMass_scale_j.pdf 1tag_fMassKinFit_scale_t.pdf, 1tag_fMassKinFit_scale_j.pdf 2tag_fMassKinFit_scale_t.pdf, 2tag_fMassKinFit_scale_j.pdf comparison_svMass_scale_t_qcd1.5-10.pdf, comparison_svMass_scale_t_qcd3.0-10.pdfcomparison_fMassKinFit_scale_t_qcd1.5-10.pdf, comparison_fMassKinFit_scale_t_qcd3.0-10.pdf
11/27/2014
scaleFactor_INFN.txt scaleFactors2.txt ControlPlots2.pdf11/26/2014
ControlPlots.pdf scaleFactor.txt comparison_fMassKinFit-1.pdf comparison_svMass-1.pdf11/25/2014
fits.txt comparison_fMassKinFit.pdf comparison_svMass.pdf http://www.hep.wisc.edu/~elaird/11_kinfit_version_compare/take2/
1M1NonM.zip, 2M.zip
11/24/2014
svMass_1MbTag_H350_inclusive.pdf comparison_brokenDY.pdf comparison_inclusiveDY.pdf dy.pdf11/23/2014
QCD_ControlPlots_1M.zip, QCD_ControlPlots_1M1Non1M.zip, QCD_ControlPlots_2M.zip11/21/2014
table18.txt svMass_1MbTag_H350.pdf BDT_both_1MbTag_H350.pdf slides: https://indico.cern.ch/event/349611/#2014-11-21
11/20/2014
overtrainingChecks.zip table17.txt svMass_iso1.5.pdf fMassKinFit_iso1.5.pdf11/19/2014
table16.txt11/18/2014
table15.txt yields.txt trigger_140.pdf11/17/2014
tt_limit_mass_windows.pdf tauTau_2jet1tag_prefit_8TeV_LIN-1.pdf tauTau_2jet2tag_prefit_8TeV_LIN-1.pdf trigger.pdf BDT.zip11/14/2014
PlotsDiff_H2hh2tautaubb_H300_Brown_INFN.pdf yield_table_v1.txt11/13/2014
triggerEff_new.pdf, triggerEff_old.pdf triggerEff_new_cut.pdf, triggerEff_old_cut.pdf yield_summary_3rdLeptVeto_newTrigWeight.txt, yield_summary_no3rdLeptVeto_newTrigWeight.txt, yield_summary_no3rdLeptVeto_oldTrigWeight.txt11/11/2014
simple_summary.txt table10.txt11/7/2014
Z. Mao, Brown University, HH->bb+tauhtauh with MVA
11/6/2014
slides_11_6.pdf chi2Corr.pdf bdtCheckPlots.pdf11/5/2014
table7.txt chi2KinFit2_fMassKinFit.pdf chi2KinFit2_related.pdf BDT_Eff_newKinFit.pdf H2hh350_corrMatrix_bkg.pdf H2hh350_corrMatrix_sig.pdf
11/4/2014
table4.txt
corrMatrix_kinFitGreater200.pdf
BDT_Eff_11_4.pdf
corrMatrix_kinFitGreater200_newKinFit.pdf
table2_oldKinFit_noChi2Cut.txt
11/3/2014
corrMatrix.pdf10/31/2014
Sync plots with correct trigger match: PlotsDiff_H2hh2bbtautau_H300_Brown_INFN_newTrigger.pdf BDT effeciency plot: BDT_Eff_diff_combined_10.31.pdf limit_table.txt chi2.pdf kinfit_v1.0.pdf10/30/2014
BDT_Eff_diff_combined_8.pdf10/29/2014
BDT variable compare with chi2 range fixed: BDT_Eff_diff_combined_chi2RangeFix.pdf ranking.pdf slides_10.29.pdf10/28/2014
BDT variable compare: BDT_Eff_diff_combined_mvaMetFix.pdf9/15/2014
syst_update.txt9/12/2014
New tau ID vs old tau ID: PlotsDiff_H2hh2tautau_H300_BrownOldID_BrownNewID.pdf9/11/2014
New tau id, mainly againstEleMVA3 -> againstEleMVA5: PlotsDiff_H2hh2tautau_H300_Brown_BrownOld.pdf9/4/2014
BDT_Eff_diff_combined2.pdf, [[https://twiki.cern.ch/twiki/pub/Sandbox/ZaixingSandbox/byIsolationMVA2raw_1_bTag_all.pdf] [byIsolationMVA2raw_1_bTag_all.pdf]], byIsolationMVA2raw_2_bTag_all.pdf, BDT_Eff_diff_combined4.pdf9/2/2014
check2.pdf8/29/2014
BDT_Eff_diff_combined.pdf, varsRank.zip, varsRank.txt check.pdf8/28/2014
BDT_Eff_combined.pdf8/27/2014
BDT Variables Comparison: BDT_Eff_diff_260.pdf, BDT_Eff_diff_300.pdf, BDT_Eff_diff_350.pdf8/20/2014
fit_xs.txt, slides2.pdf, fit_xs.pdf H2hh2tautaubb5.1.pdf8/19/2014
BDT vs svMass and mJJ: 2D_plot.pdf8/15/2014
Check Sync: checkSync.pdf, checkSync2.pdf8/14/2014
bins.txt slides1.pdf8/13/2014
Plots for comparing QCD/Data in OS relaxed region: BDT_checkForQCDData.pdf8/7/2014
Comparison Plots (noBtag): svMass_all_IsoCompare.pdf8/6/2014
Comparison Plots: svMass_bTag_IsoCompare.pdf, svMass_bTag_OSCompare.pdf Variables used for BDT training: SSTight_BDTTrainingVars.zip8/5/2014
Isolation range comparison: svMass_IsoCompare.pdf SSTight.zip slides.pdf7/31/2014
H2hh2tautaubb4.1.pdf H2hh2tautaubb4.2.pdf7/30/2014
H2hh2tautaubb4.pdf higgs tool: tauTau_2jet2tag_prefit_8TeV_LIN.pdf, tt_limit.pdf, tt_bestfit.pdf7/29/2014
1) sync without Met smearing: PlotsDiff_tautau_GGH_Brown_INFN_noSmearing.pdf7/24/2014
1) Update KS Test with better checks: KS_LL_withCheck2.zip7/22/2014
1) Update ChiSquare Test with correct error bars: XS_LL_fix.zip 2) Update KS Test with check: KS_LL_withCheck.zip7/17/2014
1) Compare tau pairs: BDT_onePair.pdf, BDT_multiplePairs.pdf7/14/2014
1) Chi Square Test : ChiSquare.zip 2) KS Test (10000 bins): KS.zip 3) Chi Square Test (iso 1.5): ChiSquare_1.5.zip 4) KS Test (10000 bins, iso 1.5): KS_LL_1.5.zip7/9/2014
1) Relax = iso > 3 with rejected events: LL: BDT_both_bTag_LL_iso3_update.pdf, iso1_bTag_LL.pdf, iso2_bTag_LL.pdf LT: BDT_both_bTag_LT_iso3_update.pdf, iso1_bTag_LT.pdf, iso2_bTag_LT.pdf TL: BDT_both_bTag_TL_iso3_update.pdf, iso1_bTag_TL.pdf, iso2_bTag_TL.pdf7/7/2014
1) Improved scaling and angle range: LL.zip, LT.zip, TL.zip 2) Relax now defined as iso > 3: BDT_both_bTag_LL_iso3.pdf, BDT_both_bTag_LT_iso3.pdf, BDT_both_bTag_TL_iso3.pdf7/3/2014
1) Iso Selection: IsoSelect.zip 2) QCD: QCD_MC.zip 3) systematics: syst.txt7/2/2014
Only consider leg1 or leg2 for tau pt binning: leg1: pt1_binned.pdf, pt1_binned_1.pdf, pt1_binned_2.pdf, pt1_binned_3.pdf leg2: pt2_binned.pdf6/30/2014
For each tau bin in 3 pt regions R1:(45,70), R2:(70,120), R3:(120,+) Separate events in 6 catagories: R1+R1, R2+R1, R2+R2, R3+R1, R3+R2, R3+R3 (1) Relaxed region = 1 or more tauIso > 1.5: ptRange_bTag_1.pdf, plots_1.zip (2) Relaxed region = 2 tauIso > 1.5: ptRange_bTag_2.pdf, plots_2.zip SyncNtuple: PlotsDiff_tautau_GGH_Brown_new_INFN_3.pdf patMET: PlotsDiff_tautau_GGH_Brown_rawMET_INFN.pdf6/18/2014
Bin pt in 3 regions instead of preforming a fit: 1) Data: pt1_bTag_noFit.pdf, tightPt_bTag_noFit.pdf, relaxPt_bTag_noFit.pdf 2) QCD MC: QCDratio_pt1_noFit.pdf, QCDratio_tightPt_noFit.pdf, QCDratio_relaxPt_noFit.pdf6/16/2014
QCD MC gen-matching: genMatch_QCDtotal_0_80.txt, genMatch_QCDtotal_80_140.txt, genMatch_QCDtotal_140.txt6/13/2014
Location for combined root file for limit calculation: /scratch/zmao/relaxed_regression3/combined.root6/12/2014
Scaling MC pt: 1) pt1_bTag_ScaleMC_0.950.pdf, tightPt_bTag_ScaleMC_0.950.pdf, relaxPt_bTag_ScaleMC_0.950.pdf 2) pt1_bTag_ScaleMC_1.050.pdf, tightPt_bTag_ScaleMC_1.050.pdf, relaxPt_bTag_ScaleMC_1.050.pdf 3) pt1_bTag_ScaleMC_1.500.pdf, tightPt_bTag_ScaleMC_1.500.pdf, relaxPt_bTag_ScaleMC_1.500.pdf 4) pt1_bTag_ScaleMC_0.500.pdf, tightPt_bTag_ScaleMC_0.500.pdf, relaxPt_bTag_ScaleMC_0.500.pdf QCD: QCDratio_1_relaxPt.pdf, QCDratio_False_tightPt.pdf6/11/2014
With 2 loose b tag: 1) tau 1 -- kOneProng0PiZero: pt1_loose_1_0.pdf 2) tau 1 -- kOneProng1PiZero: pt1_loose_1_1.pdf 3) tau 1 -- kThreeProng0PiZero: pt1_loose_1_10.pdf One iso < 1.5 the other iso > 1.5: tightPt_loose_bTag.pdf, relaxPt_loose_bTag.pdf Both iso > 1.5: tightPt_loose_bTag_relax.pdf, relaxPt_loose_bTag_relax.pdf Both iso > 1.5 with b tag: tightPt_bTag.pdf, relaxPt_bTag.pdf6/10/2014
pt1 update with WZjetsto2l2q: pt1_bTag_update.pdf| HadronicTauDecayModes: kNull = -1 | |
| kOneProng0PiZero | |
| kOneProng1PiZero | |
| kOneProng2PiZero | |
| kOneProng3PiZero | |
| kOneProngNPiZero | |
| kTwoProng0PiZero | |
| kTwoProng1PiZero | |
| kTwoProng2PiZero | |
| kTwoProng3PiZero | |
| kTwoProngNPiZero | |
| kThreeProng0PiZero | |
| kThreeProng1PiZero | |
| kThreeProng2PiZero | |
| kThreeProng3PiZero | |
| kThreeProngNPiZero | |
| kRareDecayMode |
6/9/2014
QCD plot from QCD samples with at least one leg iso > 1.5 and preselection:- 'QCD_Pt-50to80', 'QCD_Pt-80to120', 'QCD-120to170' : QCDratio.pdf
- 'QCD_Pt-50To150_bEnriched', 'QCD_Pt-150_bEnriched' : QCDratio_bEnriched.pdf
6/6/2014
- sync ntuple made with preselections:
6/2/2014
MC Validation: LTauMCValidation_ele.pdf, LTauMCValidation_mu.pdf pt bin: pt1_update.pdf5/30/2014
pt binned in pt1 and pt2, added DY1Jets: pt1_bTag_9.pdf MC Validation: LTauMCValidation_phi.pdf5/20/2014
pt binned in: 1) pt1 (0, 120, 180 +): pt1_bin.pdf 2) pt2 (0, 80, 120 +): pt2_bin.pdf 3) pt1 + pt2 (0, 120, 200+): pt1pt2_bin.pdf results in BDT distribution: 1) pt1: BDT_both_bTag_pt1.pdf 2) pt2: BDT_both_bTag_pt2.pdf 3) pt1 + pt2: BDT_both_bTag_pt1pt2.pdf MC Validation: LTauMCValidation.pdf5/19/2014
Updates on comparison between different iso regions: 1) BDT distribution: BDT_both_bTag_IsoRatio_new.pdf 2) pt1 distribution: pt1_bTag_IsoRatio_new.pdf Pt binned fit: 3 bins, (0, 120, 180+) pt1_ptBin.pdf5/16/2014
prelim slides: Prelim1.1.pdf5/15/2014
1) BDT Efficiency with different amount of variables for training: BDT_Eff_diff.pdf5/14/2014
1) BDT value comparison between 1.5<iso<4 and 4<iso<10: BDT_EWK_bTag_IsoRatio.pdf, BDT_QCD_bTag_IsoRatio.pdf, BDT_both_bTag_IsoRatio.pdf 2) Prolems in previous mTauTau plots with met consideration: solved bug with using -phi istead of 3.14 + pi. But most importantly, the high mass tail is likely due to events where the met is in the opposite direction of the taus. Since the taus are boosted, the combination of the tau and opposite met gives the 'true' tau a large invariant mass. To deal with this, the follow plot has been made so that it only accounted for events where the met is in the same direction as the tau. If the met was in the opposite direction, the visible tau components were used for 'true' tau. TMVARegApp_H2hh350_all_new_isobTag_new.pdf5/14/2014
1) BDT Efficiency with 2D cut update: BDT_Eff_2.0.pdf 2) Slides update: H2hh2tautaubb3.5.pdf5/13/2014
1) BDT Efficiency with 2D cut: BDT_Eff_new.pdf 2) Plots update with better QCD prediction: BDT2D_new.pdf 3) Slides for Thursday: H2hh2tautaubb3.4.pdf5/12/2014
1) diTau mass with regression: nuOn2Tau.pdf 2) updated 2d BDT plot: BDT2D_bTag_new.pdf 3) BDT training with one combined sample: BDT_both_bTag.pdf 4) BDT Rejection Efficiency: BDT_Eff_bTag.pdf5/10/2014
BDT training with QCD and MC separatly: 1) BDT_MC: BDT_EWK_bTag.pdf 2) BDT_QCD: BDT_QCD_bTag.pdf 3) BDT_2D: BDT2D_bTag.pdf5/9/2014
met with jet regression: 1) signal H350: TMVARegApp_H2hh350_all_new_isobTag_reg.pdf 2) tt: TMVARegApp_tt_eff_all_new_isobTag_reg.pdf5/8/2014
BDT results: 1) method I: BDT_bTag_m1.pdf 2) method II: BDT_bTag_m2.pdf gen jets are clustered using anti-kT algorithem with R = 0.5 process.patOverloadedJets = cms.EDProducer('PATJetOverloader', src = cms.InputTag(jets), genJets = cms.InputTag("ak5GenJets") )5/7/2014
H2hh2tautaubb3.1.pdf H2hh2tautaubb3.3.pdf5/5/2014
QCD translation using all 3 histograms from control regions: J1Pt_bTag.pdf, J2Pt_bTag.pdf H2hh2tautaubb3.pdf5/1/2014
b jet regression on signal and background: 1) mH260: mJJ_bTag_mH260.pdf, mJJReg_bTag_mH260.pdf 2) mH300: mJJ_bTag_mH300.pdf, mJJReg_bTag_mH300.pdf 3) mH350: mJJ_bTag_mH350.pdf, mJJReg_bTag_mH350.pdf4/30/2014
1) fixed data count and error bar problem: fixedDataCount.zip 2) added scale factor for MC: scale4MC.zip there are still problems as the fitted scale factor for MC almost always reach the limit (0.9 or 1.1)4/25/2014
bTag_withPrediction.zip Imporved regression result after changing variables' default value from -99 to 0: 1) TMVARegApp_H2hh350_improvedVarRange.pdf 2) explored changes when trained with only events in signal region: TMVARegApp_H2hh350__improvedVarRange_onlySignalRegion.pdf 3) matched to b jet: TMVARegApp_H2hh350_bMatch.pdf 4) matched to b jet and exclude events without 2 matched gen b jets: TMVARegApp_H2hh350_forcedBMatch.pdf4/23/2014
bTag plots with : bTag_new.zip Regression applied on un-trained events: 1) with out JECUnc: TMVARegApp_H2hh350_old_both_iso_reg.pdf 2) with JECUnc: TMVARegApp_H2hh350_new_both_iso_reg.pdf 3) with JECUnc and b-tag: TMVARegApp_H2hh350_all_1_both_isobTag_reg.pdf4/22/2014
Regression Training with H2hh260, H2hh300, H2hh350 sample: Requirements: iso <1.5 on both tau candidates 1) TMVARegApp_H2hh350_new_all_both_iso_reg.pdf 2) require b-tag: TMVARegApp_H2hh350_new_all_both_isobTag_reg.pdf 3) require no soft leptons in both jets: TMVARegApp_H2hh350_new_all_both_softLept0iso_reg.pdf 4) require 1 jet containing soft lepton: TMVARegApp_H2hh350_new_all_both_softLept1iso_reg.pdf 5) require 2 jets containing soft lepton: TMVARegApp_H2hh350_new_all_both_softLept2iso_reg.pdf4/21/2014
Regression Training with H2hh350 sample: 1) Trained with leading CSV jet: TMVARegApp_H2hh260_all_J1_reg.pdf, TMVARegApp_H2hh300_all_J1_reg.pdf, TMVARegApp_H2hh350_all_J1_reg.pdf 2) Trained with second leading CSV jet: TMVARegApp_H2hh260_all_J2_reg.pdf, TMVARegApp_H2hh300_all_J2_reg.pdf, TMVARegApp_H2hh350_all_J2_reg.pdf 3) Trained with both jets: TMVARegApp_H2hh260_all_both_reg.pdf, TMVARegApp_H2hh300_all_both_reg.pdf, TMVARegApp_H2hh350_all_both_reg.pdf4/15/2014
bTag plots: bTag.zip revert bTag plots: revert_bTag.zip4/14/2014
Iso comparison: 1) iso1: iso1_combined_OS_allIso.pdf, iso1_combined_SS_allIso.pdf 2) iso2: iso2_combined_OS_allIso.pdf, iso2_combined_SS_allIso.pdf mJJ distribution with data: 1) Opposite Sign: mJJ_combined_OS_allIso.pdf, mJJ_combined_OS_tight.pdf, mJJ_combined_OS_relaxed.pdf 2) Same Sign: mJJ_combined_SS_allIso.pdf, mJJ_combined_SS_tight.pdf, mJJ_combined_SS_relaxed.pdf dPhi met tauPair: 1) same sign: dPhiMet_TauPair_combined_SS_relaxed.pdf, dPhiMet_TauPair_combined_SS_tight.pdf4/11/2014
Iso comparison: 1) mJJ: mJJ_combined_SS_tight.pdf, mJJ_combined_SS_relaxed.pdf 2) svMass: svMass_combined_SS_tight.pdf, svMass_combined_SS_relaxed.pdf 3) pt1: pt1_combined_SS_tight.pdf, pt1_combined_SS_relaxed.pdf4/7/2014
dPhi between Met and jets, taus and BDT training vars rank (trainned with H2hh350): 1) variable rank: BDT350.txt 2) dPhi between taus: dPhiMet_Tau1_combined_OS_tight.pdf, dPhiMet_Tau2_combined_OS_tight.pdf, dPhiMet_TauPair_combined_OS_tight.pdf, dPhiMet_SVTauPair_combined_OS_tight.pdf jets: dPhiMet_Jet1_combined_OS_tight.pdf, dPhiMet_Jet2_combined_OS_tight.pdf, dPhiMet_JetPair_combined_OS_tight.pdf4/6/2014
dPhi between Met and jets, taus: (Signal events have been increased by x100) 1) Same sign: - jets: dPhiMet_Jet1_combined_SS.pdf, dPhiMet_Jet2_combined_SS.pdf, dPhiMet_JetPair_combined_SS.pdf - taus: dPhiMet_Tau1_combined_SS.pdf, dPhiMet_Tau2_combined_SS.pdf, dPhiMet_TauPair_combined_SS.pdf 1) Opposite sign: - jets: dPhiMet_Jet1_combined_OS.pdf, dPhiMet_Jet2_combined_OS.pdf, dPhiMet_JetPair_combined_OS.pdf - taus: dPhiMet_Tau1_combined_OS.pdf, dPhiMet_Tau2_combined_OS.pdf, dPhiMet_TauPair_combined_OS.pdf4/3/2014
H2hh2tautaubb2.5.pdf3/31/2014
Added more samples including DYJetsToLL and W2JetsToLNu: data_mJJ_btag-2.pdf, data_ptJJ_btag-2.pdf, data_svMass_btag-2.pdf, data_pt1_btag-2.pdf, data_pt2_btag-2.pdf3/27/2014
1) CSV values for 2 jets: data_CSVJ1.pdf, data_CSVJ2.pdf 2) CSV values for 2 jets with 1 medium and 1 loose b-tag: data_CSVJ1_btag.pdf, data_CSVJ2_btag.pdf 3) mJJ and ptJJ with 1 medium and 1 loose b-tag: data_mJJ_btag.pdf, data_ptJJ_btag.pdf 4) svMass with 1 medium and 1 loose b-tag: data_svMass_btag.pdf 5) pt and eta of the 2 tau candidates with 1 medium and 1 loose b-tag: data_pt1_btag.pdf, data_pt2_btag.pdf, data_eta1_btag.pdf, data_eta2_btag.pdf3/26/2014
Same sign events study: QCD background table: QCD.txt Data sample with tt, tt-semi and ZZ: data_svMass.pdf, data_mJJ.pdf3/22/2014
Gen match plots: 1) dR distribution for H350: chargeSignVSGenBdR_H350_all.pdf, chargeSignVSGenTaudR_H350_all.pdf, chargeSignVSGenedR_H350_all.pdf, chargeSignVSGenmudR_H350_all.pdf 2) dR distribution for tt (full leptonic): chargeSignVSGenBdR_tt_all.pdf, chargeSignVSGenTaudR_tt_all.pdf, chargeSignVSGenedR_tt_all.pdf, chargeSignVSGenmudR_tt_all.pdf 3) dR distribution for tt (semi leptonic): chargeSignVSGenBdR_tt-semi_all.pdf, chargeSignVSGenTaudR_tt-semi_all.pdf, chargeSignVSGenedR_tt-semi_all.pdf, chargeSignVSGenmudR_tt-semi_all.pdf Gen match tables using closest matched gen particle, for e, mu, tau dR<02, for b dR<0.5: e(tau) indicates the second closest marched gen particle is a tau and dR<0.2 so the electron is likely to come from a tau decay. e(b) indicates the second closest marched gen particle is a b and dR<0.5 so the electron is likely to come from a b decay. 'sum' row is the sum of all catagories and can be compared with the 'total' row to double check if the catagories's been well defined. 1) H350: genMatch_H2hh350_all.txt 2) tt (full leptonic): genMatch_tt_all.txt 3) tt (semi leptonic): genMatch_tt_semi_all.txt1/27/2014
svEta plot with error bar: svEta_no_b_tag.pdf1/23/2014
TMVA training with Fisher and BDT methods: 1) input variables: variables_id_c1.pdf, variables_id_c2.pdf, variables_id_c3.pdf 2) classifier output: overtrain_Fisher.pdf, overtrain_BDT.pdf 3) classifier background rejection vs signal efficiency (ROC curve): rejBvsS.pdf1/17/2014
Pt distribution of reco tautau with matching gen Higgs. genHiggsPtvsTauTauPt.pdf1/16/2014
Full mass plots using Markov Chain SV Fit. mH_all.eps.pdf mH_all_svFit.eps.pdf mH_all_mix.eps.pdf12/16/2013
Skimming: # DoubleTau tau30JetSelector = cms.EDFilter("PFTauSelector", src=cms.InputTag("hpsPFTauProducer"), cut=cms.string("abs(eta) < 2.3 & pt > 30.0"), discriminators=cms.VPSet( cms.PSet(discriminator=cms.InputTag("hpsPFTauDiscriminationByDecayModeFinding"),selectionCut=cms.double(0.5)), ), filter=cms.bool(False) ) twoTaus = cms.EDFilter("CandViewCountFilter", src=cms.InputTag("tau30JetSelector"), minNumber=cms.uint32(2)) doubleTauPath = cms.Path(atLeastOneGoodVertexSequence + tau30JetSelector + twoTaus) skimConfig.paths.append("doubleTauPath") When using NSVFitStandalone, should we call: integrateMarkovChain() or integrateVEGAS()? Full mass calculated by:- tauTauCandP4 = (fullPt, fullEta, fullPhi, SVFitMass)
- J1 = CSV >= 0.679, pt > 20, |eta| < 2.4
- J2 = CSV >= 0.244, pt > 20, |eta| < 2.4
12/13/2013
Full mass visible: fullMass_visible.pdf Full mass with SVFit: fullMass_SVfit.pdf dR between tautau and jj: dRTauTauJJ.pdf12/9/2013
mTauTau plots remade with SVFit mass: mTauTau_no_b_tag_SVFitMass.pdf, mTauTau_2_b_tag_SVFitMass.pdf 2DMass_signal_no_b_tag.pdf, 2DMass_signal_2_b_tag.pdf 2DMass_tt_no_b_tag.pdf, 2DMass_tt_2_b_tag.pdf12/6/2013
Implimented SVFit for two hadronic tau legs (only svMass working now and svPt only gives 0). Rerun ntuple mass production. Met info plots: Mets.pdf Plots remade with higher statistics.- mTauTau: mTauTau_highStat.pdf
- mCSVsortedJJ: mJJ_highStat.pdf
- Leading CSV Jets: JetCSV_highStat.pdf
- 2D Mass: 2DMass_signal_highStat.pdf, 2DMass_tt_highStat.pdf
12/5/2013
Cut flow plot with iso < 1.5: CutFlow.pdf Discriminator: ByMediumCombinedIsolationDBSumPtCorr3Hits can be accessed by variable byMediumCombinedIsolationDeltaBetaCorr3Hits. Which is really just byCombinedIsolationDeltaBetaCorrRaw3Hits < 1 as shown: Iso.pdf. The variable is now stored in the ntuple as: CombinedIso1 and CombinedIso2 for the 2 legs. Started genenrating large amount of ntuple samples with byCombinedIsolationDeltaBetaCorrRaw3Hits < 1.5.12/4/2013
Event displayer was modified for this experiment and can be found at: https://github.com/elaird/supy-tflat
Due to not being able to access ByMediumCombinedIsolationDBSumPtCorr3Hits, we looked into using variable byCombinedIsolationDeltaBetaCorrRaw3Hits for isolation.
From the results ( eventDisplay) of 7 events passing:
- ttPtEta1:leg1.pt()>30 && abs(leg1.eta())<2.3
- ttPtEta2:leg2.pt()>30 && abs(leg2.eta())<2.3
- ttOs:charge==0
- tau1Hadronic:abs(leg1.userFloat("dZ"))<0.2 && leg1.tauID("decayModeFinding")>0
- tau2Hadronic:abs(leg2.userFloat("dZ"))<0.2 && leg2.tauID("decayModeFinding")>0
- ttMuonVeto1:leg1.tauID("againstMuonLoose2")>0
- ttMuonVeto2:leg2.tauID("againstMuonLoose2")>0
- ttElectronVeto1:leg1.tauID("againstElectronLoose")
- ttElectronVeto2:leg2.tauID("againstElectronLoose") && leg2.tauID("againstElectronLooseMVA3")
- ttIsolation1:leg1.tauID("byCombinedIsolationDeltaBetaCorrRaw3Hits")<4
- ttIsolation2:leg2.tauID("byCombinedIsolationDeltaBetaCorrRaw3Hits")<4
12/3/2013
Followed twiki [1] for tau id and isolation requirements:- againstMuonLoose on both legs. againstElectronLoose (highest pt tau) + againstElectronLoose+againstElectronLooseMVA3 (subleading pt tau)
- TauTau isolation: 3 Hit isolation: ByMediumCombinedIsolationDBSumPtCorr3Hits
12/2/2013
The difference in the number of gen taus with gen ele/mu is most likely a result of the cuts applied on the skimming proccess from AOD to PATuples. We required pt > 30 GeV for taus and pt > ~ 13 GeV for ele/mu. As we can see from the pt distribution of the gen leptons: gen_lep_pt.pdf, ele/mu/taus behave the same for pt > 50/100 GeV for leg1/leg211/28/2013
Plots:- Jet Pt: JetCSVPt.pdf
11/26/2013
Plots:- mJJ of 2 leading CSV jets: No requirements, 1 medium b tag, 2 medium b tag.
- ZZjets to 2l2q sample: Leptons from Z0 multiplicity
At least 1 DiTau Cut:
PtEtaCut1: leg1.pt()>30 && abs(leg1.eta())<2.3
PtEtaCut1: leg2.pt()>30 && abs(leg2.eta())<2.3
OS: charge==0
