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Higgs to WW Analysis in CDF and ATLAS

Higgs to WW Analysis in CDF and ATLAS. R StDenis. Higgs to WW CDF and ATLAS. Reproduction of Previous Results:Identifying, datasets, Rows and columns Data Access and Strategy Standard Candle: s( Z) Shining the Light on CDF Plans for ATLAS. Higgs to WW Update.

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Higgs to WW Analysis in CDF and ATLAS

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  1. Higgs to WW Analysis inCDF and ATLAS R StDenis

  2. Higgs to WW CDF and ATLAS Reproduction of Previous Results:Identifying, datasets, Rows and columns Data Access and Strategy Standard Candle: s(Z) Shining the Light on CDF Plans for ATLAS

  3. Higgs to WW Update Reproduction of Note 7708 Results The yields of the previous 360pb-1 H->WW->lnln analysis have been reproduced apart from: some unresolved queries on the Phoenix cuts the fake estimate is taken as a scaling factor from the old analysis some unresolved queries on stubless muons plug data has not been included Each cut yield has been reproduced number by number for a Higgs Mass=160GeV

  4. Rows and Columns LeptonID Jet Veto Missing Et LeptonIsolation Columns: Events surviving each Cut. Reproduction of Note 7708 Results Rows: different parts of the detector, separated by cracks: What are the Rows for ATLAS?

  5. Muon Reco. Efficiency as EtaRome (Athena 10.0.4)

  6. And datasets… # events / pb-1 /0.4 (22.5o) Reproduction of Note 7708 Results Dilepton azumuthal separation, DFll

  7. Data Flow Validation in Progress < > MC: Sig or Bkg Ie. H->WW Data Stream: Et>18 Looking at Available Atlas MC DataSets Atlas TagDB will have Trigger Full Reco TopNtuple StNtuple (To be phased out) ObjectSelection Code: e,mu, MET,Jet ‘MakeClass’ Based (To be phased out) Object Based MTuple Dtuple

  8. Data Flow – and Strategy ObjectSelection Code: E,mu,jet,Met Z/g->ee Dtuple • Object Selection: tricky trigger efficiencies, MC/Data calibration of reconstruciton efficiency Hww>lnln Selection Code, weighting: Cuts: Mll, Isolation s(Z0) Proves analysis Hww>lnln Selection Code: Cuts: METdF(L-jet) Z0Bkg

  9. Shining the Light on CDF Z to ll Crossection*BR measurement In all channels:CEM-CEM,CEM-PLUG,PLUG-PLUG,CEM-CMU(X),CEM-CMUP, CMU(X)-CMUP (27 types) etc. Datasets based on trigger: Central Electron >18, Cmu >18, Plug +MET, CMX>18 Good run lists Trigger Efficiencies (measured from Z0) Reconstruction Efficiency relative to MC (measured from Z0)

  10. Shining a Candle on CDF Oops!: applied a correction twice Z to ee (tight, central) s*BR: 269.06±3.33(stat) ±2.11(sys) ±15.87(lum) Note 7708: s*BR: 259.3 ±3.3 (stat) ±5.4 (sys) ±15.4 (lum)

  11. More Bugs Scurry Z to mm(CMUP) Oops! Get different trigger efficiencies and MC/Data reconstruction factors # events Combined CMhUP-CM(UP/X/P/IO) Dilepton Invariant mass s*BR: 284.3±6.63(stat) ±9.87(sys) ±16.8(lum) Note 7708: s*BR: 260.9 ±3.5 (stat) ±5.8 (sys) ±15.4 (lum)

  12. Higgs to WW Update Crossections for Z > all combinations s*BR Dilepton Type Only statistical errors quoted, queries as to the SF correlation

  13. Higgs to WW Update Z > ee, mm weights

  14. Higgs to WW Update Z Mass for MC all channels Z Mass Dilepton Type

  15. Higgs to WW Update Z Mass for all Data channels Z Mass Dilepton Type

  16. Higgs to WW Update Z > ee, mm calculation Corrects the Z s for Z outside the mass window 66-166GeV Estimated using the number of same sign events Corrects the luminosity due to the luminous region being greater than that over which the luminosity measurement is made Acceptance is the number of MC events in the mass window after selection over the number of HepgZs in the mass window

  17. For ATLAS • Identify datasets and try to use Atlas General Ntuple – or fail! But create Dtuple • Identify the “Rows” for ATLAS dilepton combinations (a few experts would do!) • Measure Z cross section in Atlas: compute the same Trigger and reco efficiencies as in CDF. How far do we want to get involved in doing the actual studies? • Go the extra two cuts to get the Z background – and all backgrounds, Higgs to WW. • Put into an ATLAS Note

  18. Additional Slides

  19. Higgs to WW Update Reproduction of Note 7708 Results HWW analysis Event Cuts

  20. Higgs to WW Update Data Access Reorganisation Dtuple, an object based small Ntuple has been created for Analysis purposes The Hww Selection code has been modified to run from both TopNtuple and StNtuple Correct matching up of StNtuple variables to TopNtuple variables to be confirmed, along with Validation

  21. Higgs to WW Update Data Access Reorganisation Dtuple, an object based small Ntuple has been created for Analysis purposes The Hww Selection code has been modified to run from both TopNtuple and StNtuple Correct matching up of StNtuple variables to TopNtuple variables to be confirmed, along with Validation

  22. Higgs to WW Update Z to ee (tight, central) Cuts are the same as in ID efficiency Note 7309

  23. Higgs to WW Update Z to ll Crossection*BR measurement In the channels Z > two tight central electrons Z > two CMUP muons Both crosschecked using the old Mtuples and new Dtuples created from the original TopNtuples Gen 5.3.3 zewk6d and zewk6m MC datasets used Good run lists 0031(378pb-1) for muon and 1001(374pb-1) for electron data

  24. Higgs to WW Update Z to mm(CMUP) Cuts are the same as in ID efficiency Notes 3767 and 7956 (JP) apart from the tight cuts are for 3 stereo hits.

  25. Higgs to WW Update Ongoing work The Joint Physics efficiency Classes have been integrated into the code in readiness for transition to Gen 6 Ongoing investigations into finding better discriminating variables for the HWW event selection formation of good run lists for 6.1.2 data Measurement of WW crossection

  26. Higgs to WW Update Immediate Goals StNtuple Validation & migration Dtuple Validation & migration Incorporation of all exisitingdata Z crossection measurement with new data WW crossection measurement with new data Monte Carlo comparison of acceptances for H>WW using the JP weights Fake study for 50 GeV jets Study the effects of high luminosity on all above

  27. Higgs to WW Update Future Goals Neural Net Analysis Vector Boson Fusion Analysis

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