SingleTop Production at CDF Rainer Wallny University of

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Single-Top Production at CDF Rainer Wallny University of California, Los Angeles On behalf of

Single-Top Production at CDF Rainer Wallny University of California, Los Angeles On behalf of the CDF Collaboration 2007 Europhysics Conference on High Energy Physics July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester

The Tevatron Accelerator • World’s highest energy collider (until 2008) – Proton-antiproton Synchrotron –

The Tevatron Accelerator • World’s highest energy collider (until 2008) – Proton-antiproton Synchrotron – Experiments CDF and DØ • Run I (1992 -1996) – s = 1. 8 Te. V – 100 pb-1 int. luminosity • Major upgrade to accelerator complex – Main Injector (x 5) – Pbar Recycler (x 2) • Run II (2001 -2009) – – s = 1. 96 Te. V Current peak luminosity ~28. 0 x 1031 cm-2 s-1 Both experiments have now > 2. 5 fb-1 on tape. Aim for 4 -9 fb-1 int. luminosity in Run II Design goal • Only place in the world to produce top quarks. July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 2

Top Quark Production at the Tevatron • At the Tevatron, top quarks are primarily

Top Quark Production at the Tevatron • At the Tevatron, top quarks are primarily produced in pairs via the strong interaction: NLO = 6. 7± 0. 8 pb • The Standard Model also predicts a single top production via the electroweak interaction: ( st ~ ½ tt) s-channel NLO = 0. 88± 0. 07 pb t-channel NLO = 1. 98± 0. 21 pb July 19 th, 2007 The single top quark production mode was not yet observed – first evidence reported recently … Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 3

Why measure Single Top Production ? • Source of single ~100% polarized top quarks:

Why measure Single Top Production ? • Source of single ~100% polarized top quarks: Direct measurements – Test V-A structure of W-t-b vertex – Access to the top quark spin • Allows direct Measurement of CKMMatrix Element Vtb: Ratio from Bs oscillations Not precisely measured – st ~|Vtb|2 – indirect determinations: Vtb ~0. 999… – verify Vtb s-channel July 19 th, 2007 t-channel Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 4

Sensitivity to New Physics and WH • Single top rate can be altered due

Sensitivity to New Physics and WH • Single top rate can be altered due to the presence of New Physics: - t-channel signature: Flavor changing neutral currents (t-Z/γ/g-c couplings) Z c - s-channel signature: Heavy W boson, charged Higgs H+, Kaluza Klein excited WKK t • s-channel single top has the same final state as WH l bb => benchmark for WH search! 1. 25 t (pb) W , H+ s (pb) Tait, Yuan PRD 63, 014018(2001) July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 5

Single Top Candidate Selection Event Selection: Electron • 1 Lepton, ET >15 Ge. V,

Single Top Candidate Selection Event Selection: Electron • 1 Lepton, ET >15 Ge. V, | |< 2. 0 CDF W(l ) + 2 jets Candidate Event: W Close-up View of Layer 00 Silicon Detector • Missing ET (MET) > 25 Ge. V • 2 Jets, ET > 15 Ge. V, | |< 2. 8 Jet 2 • Veto QCD, Conversions, Cosmics • At least one b-tagged jet, (secondary vertex tag) 12 mm Run: 205964, Event: 337705 Electron ET= 39. 6 Ge. V, Missing ET = 37. 1 Ge. V Jet 1: ET = 62. 8 Ge. V, Lxy = 2. 9 mm Jet 2: ET = 42. 7 Ge. V, Lxy = 3. 9 mm Number of Events / 955 pb-1 Jet Single Top Background S/B W(l ) + 2 jets 74 15500 ~1/210 ~ 0. 6 W(l ) + 2 jets + b-tag 38 550 ~1/15 ~ 1. 6 July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester S/ B 6

Background Estimate W+HF jets (Wbb/Wcc/Wc) Top/EWK (WW/WZ/Z→ττ, ttbar) • W+jets normalization from data and

Background Estimate W+HF jets (Wbb/Wcc/Wc) Top/EWK (WW/WZ/Z→ττ, ttbar) • W+jets normalization from data and heavy flavor (HF) fractions from ALPGEN Monte Carlo, calibrated in generic multijet data • MC normalized to theoretical cross-section Non-W (QCD) b • Fit low missing ET data and extrapolate into signal region tt Di non-W Z/ • Multijet events with semileptonic b-decays or mismeasured jets Wbb W+HF jets (Wbb/Wcc/Wc) Mistags Wcc Wc • W+jets normalization from data and heavy flavor (HF) fraction from MC Mistags (W+2 jets) • Falsely tagged light quark or gluon jets • Mistag probability parameterization obtained from inclusive jet data July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 7

Signal and Background Event Yield CDF Run II Preliminary, L=955 pb-1 Event yield in

Signal and Background Event Yield CDF Run II Preliminary, L=955 pb-1 Event yield in W+2 jets s-channel 15. 4 ± 2. 2 t-channel 22. 4 ± 3. 6 tt 58. 4 ± 13. 5 Diboson 13. 7 ± 1. 9 Z + jets 11. 9 ± 4. 4 Wbb 170. 9 ± 50. 7 Wcc 63. 5 ± 19. 9 Wc 68. 6 ± 19. 0 Non-W 26. 2 ± 15. 9 Mistags 136. 1 ± 19. 7 Single top 37. 8 ± 5. 9 Total background 549. 3 ± 95. 2 Total prediction 587. 1 ± 96. 6 Observed July 19 th, 2007 Single top hidden behind background uncertainty! Makes counting experiment impossible! 644 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 8

Jet Flavor Separation • Even with a reconstructed secondary vertex required, about 50% of

Jet Flavor Separation • Even with a reconstructed secondary vertex required, about 50% of the background in the W + 2 jets sample do NOT contain b quarks • Train Neural Network with secondary vertex tracking information (25 input variables) to distinguish b/c/light quark jets • Replaces Yes-No decision by a continuous variable - used in all analyses mistags / charm …………. beauty Background Estimate Neural Network Fit • Obtain good jet-flavor separation! W+bottom 299. 0 56. 8 292. 8 26. 3 W+charm 148. 1 39. 4 171. 6 53. 8 Improves sensitivity by ~15 -20%! Mistags 140. 0 19. 8 179. 5 42. 5 Sum 587. 1 96. 6 644. 0 July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 9

Analysis Techniques Likelihood Analysis Neural Network Analysis Matrix Element Analysis July 19 th, 2007

Analysis Techniques Likelihood Analysis Neural Network Analysis Matrix Element Analysis July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 10

The Likelihood Function Analysis Nsig Unit Area Nbkg Background. Wbb ttbar Signal tchan schan

The Likelihood Function Analysis Nsig Unit Area Nbkg Background. Wbb ttbar Signal tchan schan Leading Jet ET (Ge. V) i, indexes input variable Uses 8 (5) kinematic variables for t-channel (s-channel) Likelihood Function i. e. M(Wb), HT, Qx. Eta, Neural Network flavor separator, Madgraph Matrix Elements etc. July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester Expected signal significance: 2. 0 11

Kinematic Variables HT = ET(lepton, MET, Jets) Qx. Eta(un-tagged jet) Mass(W, b) Unit area

Kinematic Variables HT = ET(lepton, MET, Jets) Qx. Eta(un-tagged jet) Mass(W, b) Unit area Background Wbb ttbar July 19 th, 2007 Signal tchan schan Background Wbb ttbar Signal Background tchan schan Signal tchan schan Wbb ttbar Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 12

Analysis Techniques Likelihood Analysis Neural Network Analysis Matrix Element Analysis July 19 th, 2007

Analysis Techniques Likelihood Analysis Neural Network Analysis Matrix Element Analysis July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 13

Neural Network Analysis • combine 18 input variables into one powerful discriminant (i. e

Neural Network Analysis • combine 18 input variables into one powerful discriminant (i. e b-tagging flavor separator, M(W, b), M(j 1, j 2), HT, number of soft jets, angular variables, etc. . ) • Continuous output between -1 (bkg like) and +1 (sig like) • Three networks: s-channel, t-channel and combined s+t channel Expected signal significance: 2. 6 July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 14

Neural Network Analysis - Separate Search t-channel Wbb • Two NN’s trained separately for

Neural Network Analysis - Separate Search t-channel Wbb • Two NN’s trained separately for s-channel and t-channel (same input variables) July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 15

Analysis Techniques Likelihood Analysis Neural Network Analysis Matrix Element Analysis July 19 th, 2007

Analysis Techniques Likelihood Analysis Neural Network Analysis Matrix Element Analysis July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 16

Matrix Element Method • Pioneered by top quark mass analyses • Now applied to

Matrix Element Method • Pioneered by top quark mass analyses • Now applied to a search! • Calculate event probability density for signal and background Integration over part of the phase space Φ 4 W(Ejet, Epart) gives the probability of measuring a jet energy Ejet when Epart was produced Leading Order matrix element (Mad. Event) E pa rto E jet n Inputs only lepton and 2 jets 4 -vectors! Parton distribution functions c July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 17

Kinematic Variables Used in Matrix Element Analysis • Input to the Matrix Element Analysis

Kinematic Variables Used in Matrix Element Analysis • Input to the Matrix Element Analysis are the measured four-vectors of the Lepton, Jet 1 and Jet 2 in the W+2 jets data (>=1 b-tagged jet) Lepton July 19 th, 2007 Jet 1 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester Jet 2 18

Event Probability Discriminant (EPD) • We compute probabilities for signal and background hypothesis per

Event Probability Discriminant (EPD) • We compute probabilities for signal and background hypothesis per event Use full kinematic correlation between signal and background events • Define ratio of probabilities as event probability discriminant (EPD): ; b = Neural Network b-tagger output Background-like Expected signal significance: 2. 5 Signal-like July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 19

Results July 19 th, 2007 Rainer Wallny - Single Top Production at CDF -

Results July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 20

CDF Single Top Results Likelihood Neural Networks Matrix Element No evidence of signal s+t<2.

CDF Single Top Results Likelihood Neural Networks Matrix Element No evidence of signal s+t<2. 7 pb at 95% C. L. No evidence of signal s+t<2. 6 pb at 95% C. L. p-value = 1. 0% (2. 3 ) s+t=2. 7(+1. 5/-1. 3)pb Expected signal significance 2. 0σ Expected signal significance 2. 6σ Expected signal significance 2. 5σ July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 21

Single Top Candidate Event t-channel single top production has a kinematic peculiarity: - Distinct

Single Top Candidate Event t-channel single top production has a kinematic peculiarity: - Distinct asymmetry in Q x distribution: Signal region EPD>0. 9 lepton charge (Q) x pseudo-rapidity =-log (tan /2) of untagged jet Jet 1 Run: 211883, Event: 1911511 Lepton Jet 2 Central Electron Candidate Charge: -1, Eta=-0. 72 MET=41. 6 Ge. V Jet 1: Et=46. 7 Ge. V Eta=-0. 6 b-tag=1 Jet 2: Et=16. 6 Ge. V Eta=-2. 9 b-tag=0 Qx. Eta = 2. 9 (t-channel signature) EPD=0. 95 July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 22

Compatibility of CDF Results • Performed common pseudo-experiments CDF Run II Preliminary – Use

Compatibility of CDF Results • Performed common pseudo-experiments CDF Run II Preliminary – Use identical events – ME uses 4 -vectors of lepton, Jet 1/Jet 2 as inputs – LF/NN uses several sensitive variables LF (ME) – 1. 2% of these pseudo-experiments fluctuated as unlucky as the observed data SM Theory – Correlation among analyses: ~60 -70% ME NN (L F) July 19 th, 2007 (NN) • Extensive cross-checks performed • Next round of analysis will shed some light on this issue – coming soon! LF Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 23

Conclusions • Single top production – measures |Vtb| directly – probes physics beyond the

Conclusions • Single top production – measures |Vtb| directly – probes physics beyond the Standard Model – serves as a benchmark for Higgs boson searches at the Tevatron • Presented three multi-variate analysis techniques to improve Signal/Background separation – Individual sensitivity ~ 2. 0 -2. 5σ – Combined sensitivity 3σ using all three discriminants • Two of the three analyses show deficit in the signal region, one analysis observes a 2. 3σ hint of the signal at almost the Standard Model rate – Compatibility of the analyses is ~1% – We have ~ twice the data available, we are improving our analyses and we expect the results to converge for the next update => Expect news on CDF single top analyses soon ! July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 24

BACKUP slides July 19 th, 2007 Rainer Wallny - Single Top Production at CDF

BACKUP slides July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 25

Search for Heavy W Boson • Search for heavy W boson in W +

Search for Heavy W Boson • Search for heavy W boson in W + 2, 3 jets • Assume Standard Model coupling strengths (Z. Sullivan, Phys. Rev. D 66, 075011, 2002) • Perform fit to MWjj distribution New Result! July 19 th, 2007 W Previous Limits: • CDF Run I: M(W R) > 566 Ge. V/c 2 at 95% C. L. • D 0 Run II: M(W R) > 630 Ge. V/c 2 at 95% C. L. Limit at 95% C. L. M(W´) > 760 Ge. V/c 2 for M(W´) > M(νR) M(W´) > 790 Ge. V/c 2 for M(W´) < M(νR) Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 26

Four Fold Ambiguity in building m(W, b) 1) Neutrino Pz: • Neutrino px, py

Four Fold Ambiguity in building m(W, b) 1) Neutrino Pz: • Neutrino px, py from MET • Pz from W-mass constraint Mtop • This yields two solutions: Smaller solution is correct 67. 6% 2) Mlνb reconstruction: • Assumption that tagged jet is from top • In double tagged events, take jet with larger Qlept x ηjet Parton/Jet matching t-channel s-channel 1 tag 96. 6% 51. 1% 2 tags 61. 9% 68. 5% Mlνj 2~170 Ge. V/c 2 • Works well for t-channel only July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 27

Hypothesis Test (ME-Analysis) • • We use the CLs/CLb Method L. Read, J. Phys.

Hypothesis Test (ME-Analysis) • • We use the CLs/CLb Method L. Read, J. Phys. G 28, 2693 (2002) T. Junk, Nucl. Instrum. Meth. A 434, 435 (1999) developed at LEP Define Likelihood ratio test statistic: CDF Run. II Preliminary, L=955 pb-1 b s+b Most sensitive bins: Median (‘expected’) p-value = 0. 6% (2. 5 ) Observed p-value = 1. 0% (2. 3 ) July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 28

Cross-Checks in Data Control Regions (ME-Analysis) • Validate method using data without looking at

Cross-Checks in Data Control Regions (ME-Analysis) • Validate method using data without looking at single top candidates • Compare the Monte Carlo prediction of the shape of the discriminant to various control samples in data • W+2 jets data (require no b-tagged jet) CDF Run II Preliminary Dilepton+2 jets Lepton+4 jets • b-tagged dilepton+2 jets data (99% ttbar) • b-tagged lepton+4 jets data (85% ttbar) July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 29

Sources of Systematic Uncertainty CDF Run. II Preliminary, L=955 pb-1 Systematic (-1 /+1 )

Sources of Systematic Uncertainty CDF Run. II Preliminary, L=955 pb-1 Systematic (-1 /+1 ) s-channel t-channel All Single top Shape Variations Jet Energy Scale -1. 4% / 1. 3% -2. 4% / 1. 8% -2. 0% / 1. 6% Initial State Radiation 1. 1% / -2. 0% 2. 6% / 2. 0% / 0. 3% Final State Radiation 1. 3% / 1. 4% 3. 4% / 2. 2% 2. 6% / 1. 9% Parton Dist. Function 1. 0% / -0. 6% 1. 7% / -0. 3% 1. 4% / -0. 4% 1% 2% 1. 6% 6. 1% 7. 8% 7. 4% Luminosity 6% 6% 6% Neural Net b-tagger N/A N/A Mistag Model N/A N/A Non-W Model N/A N/A Q 2 Scale in Alpgen MC N/A N/A Total Rate Uncertainty 9. 1% 11. 3% 10. 5% N/A Monte Carlo Generator Event Det. Efficiency • All rate and shape systematic uncertainties are included as nuisance parameters in the analyses! July 19 th, 2007 Rainer Wallny - Single Top Production at CDF - 2007 EPS Conference Manchester 30