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Tau-pair analysis in the ILD detector

Tau-pair analysis in the ILD detector. Taikan Suehara (ICEPP, The Univ. of Tokyo) T. Tanabe (ICEPP Tokyo), A. Miyamoto, K. Fujii, T. Yoshioka, K. Ikematsu, N. Okada (KEK), H. Ito (ICRR Tokyo), R. Yonamine (Sokendai). with ILD Group. Tau-pair process. Difficulty on decay analysis.

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Tau-pair analysis in the ILD detector

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  1. Tau-pair analysisin the ILD detector Taikan Suehara(ICEPP, The Univ. of Tokyo) T. Tanabe (ICEPP Tokyo), A. Miyamoto, K. Fujii,T. Yoshioka, K. Ikematsu, N. Okada(KEK),H. Ito(ICRR Tokyo), R. Yonamine (Sokendai) with ILD Group

  2. Tau-pair process Difficulty on decay analysis [Observables] P(e-)=80%, P(e+)=30%, 500 fb-1 • σ, AFB(bg suppression) • Polarization P(t)↑Decay angle determination σ=2600 fb-1 (e-Le+R)σ=2000 fb-1 (e-Re+L) radiative events: ~70%

  3. ILDAnalysis framework ILCstandard sample(SLAC SM stdhep files) • Centered production result can be accessible as DST LCIO files on grid. • Original Marlin processor to collect information for analysis to ROOT trees. • Analysis by ROOT macros. • Tracking • Particle Flow • Flavor tagging Mass production on grid ILD standardreco.output ILD standardMCsimulation output 13M events SMfull processes(luminosity: 0.1~50 fb-1)tausignal: 500 fb-1 Analysis code ILD detector • Vertex: Si pixel (3x2 layers) • Silicon Tracker: 4 layers • TPC(main tracker) • ECAL/HCAL (<1cm2/9cm2 pixel) • Solenoid(3.5Tesla) • Muon detector

  4. σ and AFB analysis • Key task: background separation • Apply cuts through all standard model background. • Add more bhabha & gg -> tt events with preselection. • 1 fb-1 for bhabha, 5-10 fb-1 for gg -> tt • Main backgrounds and efficient cuts • Bhabha: e/m/p separation • Drop electron-electron events: 3% loss on signal • Drop events with Evis~500GeV • gg -> tt : same final state,huge cross section in low Evis region • Drop by opening angle and Evis cuts • WW -> lnln : same final state if l=t • Drop by opening angle (some fractions remain)

  5. Selections BG suppression cuts • # Track<=6 • 1(+)+1(-) clusters • Opening angle >178deg • |cosq|t < 0.95 • < 2 electrons, < 2 muons • 70 < Evis < 450 GeV Purity ~ 90% (almostbg free) Cuts modified since TILC09 to obtain compatibility to SiD. Evis [GeV]

  6. σ, AFB σ: 0.29% (e-Le+R), 0.32% (e-Re+L) stat. error(count based) AFB: 52.36 ± 0.25% (e-Le+R), 44.19 ± 0.28% (e-Re+L) Sufficient statistics obtained.

  7. Taupolarization • “polarimeter vector”can be reconstructedfrom decay kinematics to obtain polarization. • Various dependence by decay modesopposite behavior on leptonic and hadronic mode. • ~90% of taus decay to 5 decay modesno dominant decay mode • Decay modeidentification is importanthigh granular ECAL is effective for photon separation → Mode selection and polarization reconstruction were studied in the events passing AFB cuts.

  8. Decay modes in Apol analysis 5 main decay modes • Separated by lepton-ID (high eff.) • Polarization information is lost by two missing neutrinos • 「1 charged p」,moderate BR, good for pol. derivation • 「1 charged p+2g」 photon separation (detector) • 「1 chargedp+4g」or「3 charged p」 • Track separation (3-prong, detector) r (770 MeV mass, 150 MeV width) a1 (1260 MeV mass, 250-600 MeV width) Minimize stat. error by combining decaymodes

  9. Mode selection • Parameters for mode selection • Lepton-ID (e, m) simple id by following observables(optimum lepton-ID in Marlin cannot be used due to a technical problem in the mass production DSTs) • Energy deposit of ECAL vs. HCAL(electron ID) • Momentum by track vs. energy deposit in CAL (muon ID) • Energy and number of neutral particles • Exclude neutral particle tagged as hadrons • Invariant masses (all visible, photons) • ρ, p0ID • Compare cut-basedand neural-net.

  10. Mode selection result Neural net Cut-based (Cut might not be fully optimized, but anyway)neural netgives better result. near 90%efficiency and purity in r mode →high photon separation performance in ILD?

  11. Optimal observable • Polarizationcalculation varies by decay modes. • Energies and angles of/between daughters • Better if single criterion can be used in all decay modes. → optimal observable w • w = (P(tR) – P(tL)) (-1 < w < 1), one w/tau candidate • w = 1: 100% tR, w = -1: 100% tL, w = 0: no tendency • expression ofwdiffers by decay modes, but w canbe summed up through all decay modes.(multi-dimensional fit in each decay mode is not needed) • Developed in LEP.

  12. Optimal observable (x: lepton energy / tau energy) (2 energies and 3angles, 5parameters) (4. a1: now working…)

  13. Optimal observable distribution • Apply w formula on sample ofinitial polarization P(e+, e-) = (30%, 80%) • SM separation cutapplied • Neural netis used for mode selection

  14. Polarization of tau • Summed up 4wdistributions • Process backgroundis excluded (short statistics) • Obtain P(t) • Obtain P(t) stat. error with 500 fb-1 P(t) = -63.82 ± 0.66% (e-Le+R) P(t) = +50.83 ± 0.79% (e-Le+R)

  15. Tau flight direction • should help with polarization measurement • 3 degrees of freedom of tau four-vector • 3 constraints: • tau/hadron angle from two-body decay kinematics • tau track must meet the hadron track at a point (1-prong) or the vertex (3-prong) • can be solved for tau direction analytically hadron a sneak preview of this concept will be shown for 1-prong events using first-order approximation for tracks (using line segment instead of helix) θ tau IP neutrino

  16. Tau flight direction (1-prong events) tau direction in lab frame tau direction residual (reco – mc) tau (tau reco – tau mc) • hadron dir (reco) • tau dir (reco) • tau dir (mc) hadron (hadron reco – tau mc) x,y residuals look similar tau direction successfully reconstructed (3-prong work next) better than assuming tau dir = hadron dir (rms: 0.0059 > 0.0050)

  17. Summary • Cross section, angular distribution and polarization analysis is performed in the ILD detector model with full simulation. • >90% purity is obtained by scanning all SM events. Sufficient statistics is obtained for cross section and angular distribution. • ~90% purity and efficiency are obtained in mode separation for polarization analysis. • 0.7-0.8% stat. error of polarization for 500 fb-1 data with optimal observable method.

  18. backup

  19. ILD_00 detector for full simulation

  20. Flavor dependent Z’ model • Additional Z’ boson can make tau-pair production cross section and angular distribution deviated from SM. • If the coupling to Z’ (-> Z’ decay branching ratio) is flavor dependent, measuring tau-pair production can be the main process to measure Z’ properties. Branching ratio of Z’with a model parameter f Deviation of angular dependence by Z’

  21. Required precision for s and AFB • 1% precision for cross section and AFB can detect ~5 TeV Z’

  22. A sample of tau polarization effect tau pion neutrino p p p spin spin 0 spin Left-handed tau pion Left-handed neutrino p p p spin spin 0 spin Left-handed tau pion Left-handed neutrino Spinviolation! Pionstend to go opposite direction to tau

  23. A sample of tau polarization effect neutrino p spin tau antineutrino p p Left neutrino spin spin electron Left-handed tau Right anti-neutrino p spin Electrons tend to go tau direction Left electron Opposite correlation to pions→ decay identification purity is important!

  24. Tau flight direction backup • three algebraic equations (normalized): • Eq. 3 introduces 2-fold ambiguity • we choose the solution which is consistent with connecting the IP and the tau->had+nu vertex hadron θ tau IP neutrino

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