Competències dels estudis de GEDI de la UIB ( UIB, 2009, 14-15)

Presented in Table 7.8 are the MC yields for strong and weakly producedγ+jets, the multijet estimate and the yield in data. The strongly producedγ+jets MC is normalized to the NLO cross section calculated by JETPHOX, resulting in an effective k-factor of 1.04. The weakly producedγ+jets MC is normalized to the cross section given bySHERPA. The multijet estimate is calculated in a conservative way by taking the maximum of the 3 estimates as the central value and using the maximum difference of the 3 as the error.

j,j η ∆ 0 1 2 3 4 5 6 7 10 2 10 3 10 4 10 Data MC γ

(a) Data and MC distributions of ∆ηj,j with

the γ+jets selection applied through the opposite hemispheres cut. j,j η ∆ 0 1 2 3 4 5 6 7 0 0.5 1 1.5 2 Data/MC γ

(b) Data/MC ratio as a function of ∆ηj,j with

theγ+jets selection applied through the opposite hemispheres cut.

Figure 7.4: ∆ηj,j with theγ+jets selection applied through the opposite hemispheres cut.

alized in Figure 7.4. This effect has been seen before in other V+jets studies from ATLAS including W+jets [42] and Z+jets [43] cross section measurements. This does not pose a problem to the method proposed in 7.3 unless the variousV+jets processes are modeled in- consistently. In order to cross check the modeling, the modifiedW _→`ν+jets control region described in 7.2.4 is used.

Strongly ProducedW→`ν+jets

mc12 8TeV.167761.Sherpa CT10 WenuMassiveCBPt70 140 BFilter.merge.NTUP SMWZ.e1620 a159 a171 r3549 p1328/ mc12 8TeV.167762.Sherpa CT10 WenuMassiveCBPt70 140 CJetFilterBVeto.merge.NTUP SMWZ.e1620 a159 a171 r3549 p1328/

mc12 8TeV.167763.Sherpa CT10 WenuMassiveCBPt70 140 CJetVetoBVeto.merge.NTUP SMWZ.e1620 a159 a171 r3549 p1328/ mc12 8TeV.167770.Sherpa CT10 WenuMassiveCBPt140 280 BFilter.merge.NTUP SMWZ.e1620 a159 a171 r3549 p1328/ mc12 8TeV.167771.Sherpa CT10 WenuMassiveCBPt140 280 CJetFilterBVeto.merge.NTUP SMWZ.e1620 a159 a171 r3549 p1328/

mc12 8TeV.167772.Sherpa CT10 WenuMassiveCBPt140 280 CJetVetoBVeto.merge.NTUP SMWZ.e1620 a159 a171 r3549 p1328/ mc12 8TeV.167779.Sherpa CT10 WenuMassiveCBPt280 500 BFilter.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167780.Sherpa CT10 WenuMassiveCBPt280 500 CJetFilterBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/

mc12 8TeV.167781.Sherpa CT10 WenuMassiveCBPt280 500 CJetVetoBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167788.Sherpa CT10 WenuMassiveCBPt500 BFilter.merge.NTUP SMWZ.e1620 s1499 s1504 r3658 r3549 p1328/ mc12 8TeV.167789.Sherpa CT10 WenuMassiveCBPt500 CJetFilterBVeto.merge.NTUP SMWZ.e1620 s1499 s1504 r3658 r3549 p1328/

mc12 8TeV.167790.Sherpa CT10 WenuMassiveCBPt500 CJetVetoBVeto.merge.NTUP SMWZ.e1620 s1499 s1504 r3658 r3549 p1328/ mc12 8TeV.167764.Sherpa CT10 WmunuMassiveCBPt70 140 BFilter.merge.NTUP SMWZ.e1714 a159 a171 r3549 p1328/ mc12 8TeV.167765.Sherpa CT10 WmunuMassiveCBPt70 140 CJetFilterBVeto.merge.NTUP SMWZ.e1714 a159 a171 r3549 p1328/

mc12 8TeV.167766.Sherpa CT10 WmunuMassiveCBPt70 140 CJetVetoBVeto.merge.NTUP SMWZ.e1714 a159 a171 r3549 p1328/ mc12 8TeV.167773.Sherpa CT10 WmunuMassiveCBPt140 280 BFilter.merge.NTUP SMWZ.e1741 a159 a171 r3549 p1328/ mc12 8TeV.167774.Sherpa CT10 WmunuMassiveCBPt140 280 CJetFilterBVeto.merge.NTUP SMWZ.e1714 a159 a171 r3549 p1328/

mc12 8TeV.167775.Sherpa CT10 WmunuMassiveCBPt140 280 CJetVetoBVeto.merge.NTUP SMWZ.e1714 a159 a171 r3549 p1328/ mc12 8TeV.167782.Sherpa CT10 WmunuMassiveCBPt280 500 BFilter.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167783.Sherpa CT10 WmunuMassiveCBPt280 500 CJetFilterBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/

mc12 8TeV.167784.Sherpa CT10 WmunuMassiveCBPt280 500 CJetVetoBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167791.Sherpa CT10 WmunuMassiveCBPt500 BFilter.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167792.Sherpa CT10 WmunuMassiveCBPt500 CJetFilterBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/

mc12 8TeV.167793.Sherpa CT10 WmunuMassiveCBPt500 CJetVetoBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167767.Sherpa CT10 WtaunuMassiveCBPt70 140 BFilter.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167768.Sherpa CT10 WtaunuMassiveCBPt70 140 CJetFilterBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/

mc12 8TeV.167769.Sherpa CT10 WtaunuMassiveCBPt70 140 CJetVetoBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167776.Sherpa CT10 WtaunuMassiveCBPt140 280 BFilter.merge.NTUP SMWZ.e1741 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167777.Sherpa CT10 WtaunuMassiveCBPt140 280 CJetFilterBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/

mc12 8TeV.167778.Sherpa CT10 WtaunuMassiveCBPt140 280 CJetVetoBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167785.Sherpa CT10 WtaunuMassiveCBPt280 500 BFilter.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167786.Sherpa CT10 WtaunuMassiveCBPt280 500 CJetFilterBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/

mc12 8TeV.167787.Sherpa CT10 WtaunuMassiveCBPt280 500 CJetVetoBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167794.Sherpa CT10 WtaunuMassiveCBPt500 BFilter.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/ mc12 8TeV.167795.Sherpa CT10 WtaunuMassiveCBPt500 CJetFilterBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/

mc12 8TeV.167796.Sherpa CT10 WtaunuMassiveCBPt500 CJetVetoBVeto.merge.NTUP SMWZ.e1714 s1581 s1586 r3658 r3549 p1328/

Weakly ProducedW→`ν+jets

mc12 8TeV.129918.Sherpa CT10 Wenu2JetsEW1JetQCD15GeV.merge.NTUP SMWZ.e1557 s1773 s1776 r4485 r4540 p1328/ mc12 8TeV.129919.Sherpa CT10 Wmunu2JetsEW1JetQCD15GeV.merge.NTUP SMWZ.e1575 s1773 s1776 r4485 r4540 p1328/ mc12 8TeV.129920.Sherpa CT10 Wtaunu2JetsEW1JetQCD15GeV.merge.NTUP SMWZ.e1575 s1773 s1776 r4485 r4540 p1328/

Table 7.9: MC samples used in the modifiedW _→`ν+jets control region.

7.5.1

W

_→`ν+jets Cross-Check

Using the modifiedW _→`ν+jets described in 7.2.4, the modeling of the high ∆ηj,j region can

be used as a cross-check of the γ+jets region which seems to have Data/MC ratios different from 1.

7.5.1.1 Signal and Background

The signal is modeled by MC samples shown in Table 7.9. The table includes strong and weakly producedW _→`ν+jets processes.

Cut Strong Weak Data Data/MC BCH Cleaning 9093564.52±3251.78 347423.89±209.17 14329762±3785 1.52±0.00 Lepton Trigger 679468.79±685.76 18223.03±48.07 1197758±1094 1.72±0.00 1 Lepton 406330.54±506.72 12536.83±39.91 510694±715 1.22±0.00 p` T >30 GeV 222613.62±320.28 8689.68±33.31 297425±545 1.29±0.00 pW T >150 GeV 217840.34±310.94 8542.54±33.03 267918±518 1.18±0.00 bveto 182004.32±292.48 5118.54±25.32 187904±433 1.00±0.00 jetpT >75 GeV 178979.36±289.08 5050.39±25.15 184425±429 1.00±0.00 jetpT >50 GeV 63148.62±132.78 3446.72±20.78 69568±264 1.04±0.00 ∆φj,Emiss T >1.0 46326.11±112.82 2603.04±18.07 50572±225 1.03±0.01 ∆φj,j<2.5 44942.72±110.69 2516.69±17.77 48988±221 1.03±0.01 Opp Hemispheres 17863.77±70.01 1224.86±12.38 19852±141 1.04±0.01 ∆ηj,j>4.8 257.50±10.92 116.49±3.83 393±20 1.05±0.06 mjj >1 TeV 222.74±10.14 112.22±3.76 354±19 1.06±0.07 CJV 118.26±8.14 93.29±3.43 228±15 1.08±0.08

Table 7.10: Yields of MC strongly producedW →`ν+jets, MC weakly producedW →`ν+jets and data as a function of the modified W → `ν+jets control region selection as described in 7.2.4.

pW

T required in the selection of the modified W →`ν+jets control region.

7.5.1.2 W _→`ν+jets Modified Control Region Yields

Table 7.10 contains the MC yields for strong and weakly produced W _→ `ν+jets and the yield in data. The strongly produced W →`ν+jets is normalized to the NLO cross section calculated by FEWZ which results in an effective k-factor of 1.1. The weakly producedW →

`ν+jets is normalized to the cross section given bySHERPA.

It is clear from Table 7.10 that the Data/MC ratio after the ∆ηj,j >4.8 does not have the

same feature seen in theγ+jets control region selection in Table 7.8. The corresponding dis- tributions are shown in Figure 7.5. Both sets of distributions have a feature of overprediction at very high ∆ηj,j but in the case ofW →`ν+jets it is not statistically significant enough to

j,j η ∆ 0 1 2 3 4 5 6 7 1 10 2 10 3 10 Data W MC

(a) Data and MC distributions of ∆ηj,j with the

modified W →`ν+jets selection applied through the opposite hemispheres cut.

j,j η ∆ 0 1 2 3 4 5 6 7 0 0.5 1 1.5 2 W Data/MC

(b) Data/MC ratio as a function of ∆ηj,j with the

modifiedW →`ν+jets selection applied through the opposite hemispheres cut.

Figure 7.5: ∆ηj,j with the modified W → `ν+jets selection applied through the opposite

hemispheres cut.