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DØ Search for the Higgs Boson in Multijet Events Alex Melnitchouk

DØ Search for the Higgs Boson in Multijet Events Alex Melnitchouk University of Mississippi For the DØ Collaboration. PANIC 05 Santa Fe, NM, October 2005. Introduction.

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DØ Search for the Higgs Boson in Multijet Events Alex Melnitchouk

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  1. DØSearch for the Higgs Boson in Multijet Events Alex Melnitchouk University of Mississippi For the DØ Collaboration PANIC 05Santa Fe, NM, October 2005

  2. Introduction • Two analyses are presented in this talk: ZHnnbbandb(b)hb(b)bb • ZHnnbb: a DØ Search for the Standard Model Higgs • b(b)hb(b)bb: SUSY Higgs Search at DØ • In both analyses final state contains b-jets  need good understanding of calorimeter response and b-tagging

  3. DØ Calorimeter and Tracking System • Uranium/Liquid Argon Sampling Calorimeter • Three modules: -- central calorimeter (CC) -- two end-cap calorimeters (EC) • Central Fiber and Silicon Miscrostrip Tracker Fiber Tracker end-view One-Quarter r-z View of Tracking System End-View Silicon Microstrip Tracker Unit cell

  4. SM Higgs boson production • gg fusion • Dominates at hadron machines • Usefulness depends on the Higgs decay channel • In association with W, Z (higgsstrahlung) • Important at hadron colliders since can trigger on 0/1/2 high-pT leptons • ttH and bbH associated production • High-pT lepton, top reconstruction, b-tag • Low rate at the Tevatron • Vector Boson Fusion • Two high-pT forward jets help to “tag” event • Important at LHC

  5. Low Mass Region Higgs Searches. Why ZH  nnbb s(pp H + X) [pb] √s = 2 TeV ggH HW Hqq HZ Hbb Htt MH [GeV] MH < 135 GeV: H  bb • Higgs produced in gluon fusion has too large QCD/bb background • Search for (W/Z)H production where W/Z decay leptonically • qq’  W* WH  ℓnbb • Bkgd: Wbb, WZ, tt, single top • qq  Z*  ZH  ℓ+ℓ-bb • Bkgd: Zbb, ZZ, tt • qq  Z*  ZH nnbb • Bkgd: QCD, Zbb, ZZ, tt • Cross-Sectin x Branching Fraction  0.01 pb (almost as large as qq’  W* WH  ℓnbb ) • Tag b-jets • Disentangle H  bb peak in di-b-jet mass spectrum B(Znn)=20% H bb Excluded at LEP

  6. ZHnnbb searches n Z Z n b H b • Missing ET from Znn and 2 b jets from Hbb • Large missing ET > 25 GeV • 2 acoplanar b-jets with ET > 20 GeV, |h| < 2.5 • Backgrounds • “physics” • W+jets, Z+jets, top, ZZ and WZ • “instrumental” • QCD multijet events with mismeasured jets • Huge cross section & small acceptance • Strategy • Trigger on events with large missing HT • HT defined as a vector sum of jets’ ET • Estimate “instrumental” background from data • Search for an event excess in di-b-jet mass distribution

  7. More selection variables • Suppress “physics” background • In addition to missing ET > 25 GeV and two jets with ET > 20 GeV • Veto evts. with isolated tracks  reject leptons from W/Z • HT = S|pT(jets)| < 200 GeV  for tt rejection • Reduce “instrumental” background • Jet acoplanarity Df(dijet) < 165 • Various missing energy/momentum variables • ET calculated using calorimeter cells • HT = – |SpT(jet)| … jets • PTtrk = – |SpT(trk)| … tracks • PT,2trk = – |SpT(trk in dijet)| … tracks in jets • Form various asymmetries • Asym(ET,HT) = (ET – HT)/(ET+HT) • Rtrk = |PTtrk – PT,2trk|/PTtrk  In signal like events they all peak at ~ 0 and are aligned

  8. Example: ET,HT Asymmetry n Z Z n b H Signal MC b Instrumental bkgd MC • In signal events there is PT balance between Higgs and Z-boson  PT balance between nn and bb  Asymmetry(ET,HT) = (ET – HT)/(ET+HT) peaks at 0 • Instrumental background (calorimeter mismeasurements of multijet events)  Large Asymmetry(ET,HT) ET HT n n ET in QCD event with mis-measured jet Jet2 Jet1 b b

  9. Background Estimation Data Instrumental bkgd. from sidebands Double Gaussian Exponential Data: 2140 Expected: 2125 signal sideband sideband Physics bkgd. from MC

  10. ZHnnbb: Distributions before b-tagging Total Data : 2140 Expect : 2125

  11. Singly b-tagged events Total Data : 132 Expect : 145

  12. ZHnnbb: Doubly b-tagged events Total Data : 9 Expect : 6.4

  13. Results (double b-tag) Bkgd. composition (%) Systematic uncertainty (%)

  14. SUSY Higgs • SUSY Higgs sector consists of more than one Higgs particle • e.g. Minimal Supersymmetric Model (MSSM) : • two complex scalar Higgs doublets • two VEV’s v1 and v2 (tan=v1/v2) • 5 Higgs particles : h0, H0, A0, H+, H- In this talk: Search for Neutral Higgses • At large tan Higgs coupling to down-type quarks i.e. b-quarks is enhanced with respect to the Standard Model: at tree level ~tan production cross-section rises as tanb2 • CP-conservation in the Higgs sector is assumed  Mass degeneracy (100-130 GeV: h0,H0,A0 ; higher mass: h0,A0 or H0,A0) Total signal cross-section is assumed to be twice that of the A boson

  15. Higgs boson production in association with b quarks J. Campbell, R. Ellis, F. Maltoni, S. Willenbrock S. Dawson, C. Jackson, L. Reina, D. Wackeroth • Two ways to calculate b(b)f processes gbbh • Both calculations are available at NLO and agree within uncertainties gbbh gg,qqbbh

  16. SUSY Higgs boson search Fitting outside signal region (±1s of peak) • Multijet trigger • L1: 3 jets of > 5 GeV, L2: HT > 50 GeV, L3: 3 jets with ET > 15 GeV • Offline: at least 3 b-tagged jets • pT and h cuts optimized for Higgs mass and # of required jets • Look for excess in di-jet mass • Signal rates and kinematics are normalized to NLO calculations • Bkgd. shape determined from doubly b-tagged data by applying tag rate function to non-b-tagged jets

  17. b(b)h:Cross-check of bkgd. method: doubly b-tag sample • Jet tag rate is estimated from data • Singly b-tag + TRF di-jet spectrum agrees with doubly b-tag sample • Additional cross-check is done with ALPGEN MC • Normalization of MC HF multi-jet processes (mainly bbjj + some bbbb) is left as a free parameter in the fit • HF bkgd. agrees within with ALPGEN within ~10%

  18. Signal acceptance and systematics • Signal acceptance is ~ 0.3–1% depending on mA and final state Acceptance breakdown (%) • Systematics on signal efficiency is 21% total: • b-tagging (15%), JES/resolution (9%), signal simulation (5%), trigger (9%), luminosity measurement (6.5%) • Systematic uncertainties for background estimation ~ 3%

  19. Results • Expected and measured 95% C.L. upper limits on the signal cross section • The 95% C.L. upper limits on tanb as a function of mA and for two scenarios of MSSM • No mixing in stop sector: Xt = 0 • Xt = At –mcotb, At – tri-linear coupling, m = –0.2 TeV • Maximal mixing: Xt = √6×MSUSY, MSUSY= 1 TeV • With 5 fb-1 of data, assuming the current performance, can probe tanb values down to 20-30 depending on the mass, model

  20. Expected Improvements in b-tagging Impact parameter resolution 200 SMT 2a simulation 180 D0 data, 2a 160 140 L0-noL1 120 No L1 (ip), um 100 80 s 60 40 20 0 0.1 1 10 100 PT, GeV/c Continue improving b-tagging (Neural Net) the NN tagger combines the 3 b-tagging algorithms used in DØ Layer Zero of the Silicon Tracker Upgrade Layer Zero detector is scheduled to be installed in spring 2006

  21. Tevatron Performance

  22. Summary • Standard Model and SUSY Higgs searches in multijet events at the Tevatron/DØ Run II have started • Upgraded accelerator and DØ are performing well, more data are being accumulated (1 fb-1 on tape !) • Work is in progress on improving b-tagging (algorithms, silicon tracker upgrade) • Stay tuned for new results

  23. Next Slide is a Backup Slide

  24. Multi-b-jet background estimation Full multi-jet data sample Calculate TRF (ET & 3 regions of h) Doubly b-tagged data sample Apply TRF Triply b-tagged background shape Fit outside to real triply b-tagged distribution Tag Rate Function Correct TRF for HF contamination (~ 8%) Cross-check of bkgd. estimation method

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