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Top Quark Mass Measurement at CDF Run II

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Title: Top Quark Mass Measurement at CDF Run II


1
Top Quark Mass Measurementat CDF Run II
  • Jean-Francois Arguin
  • University of Toronto
  • HEP Seminar
  • University of Toronto
  • February 1st, 2005

2
Outline
  • Introduction to top quark physics
  • Why measuring Mtop?
  • Experimental setup
  • Mtop measurement using kinematic information
  • Reducing the systematics
    calibration
  • Conclusion and Outlook

3
The Top Quark
  • Discovered only recently (1995 at CDF, DØ)
  • No real surprise existence is required for
    viability of the Standard Model (SM)
  • Guarantee absence of triangle anomalies
    renormalizability
  • Absence of FCNC, e.g.
  • Agreement with measured decay rate

Most striking characteristics huge mass!
How large? 40 times Comparable to gold
nucleus
4
Top Production and Decay
  • Concentrate on QCD production (also single-top
    EWK production exists)
  • Production at Tevatron
  • 85
  • 15
  • Decay in SM
  • Thus,

5
Top Production and Decay
  • W bosons decay either hadronically or
    leptonically.
  • W decays define channel
  • Dilepton 5
  • Leptonjets 30
  • All-hadronic 44
  • In this talk always
  • leptonjets channel

6
Top Quark Physics
  • Large mass ?very different behavior than other
    quarks
  • Only known particles decaying to a real boson
  • So short-lived
  • (tt5x10-25sec)
  • ? It decays before hadronizing!
  • Last feature has interesting
  • experimental consequences
  • can observe bare quark!

Top quark measurements
7
Motivation for Mtop inside SM framework
  • At tree level, EW theory
  • depend on 3 quantities, e.g. can choose
  • Fine structure constant a
  • Fermi constant GF
  • MZ
  • However, radiative corrections
  • must be included
  • Example parameter ?
  • Receives corrections dominated by Mtop
  • quadratic dependence on Mtop!

8
Motivation for Mtop inside SM framework
  • Many precision EWK measurements depend on Mtop
  • Therefore, high accuracy Mtop measurement is
    crucial for
  • Consistency check of SM
  • Constrain unknown model parameters ? MHiggs
  • Sensitivity to new physics

9
Motivation for Mtop beyond SM
  • Top quark mass so large, can it be a special
    particle?
  • Beyond SM top quark plays a role in many
    theories
  • mSugra Large Mtop provoke electroweak symmetry
    breaking (EWSB) at the weak scale
  • In some dynamical EWSB theories (topcolor) top
    quark sees additional gauge interaction,
    resulting top condensates responsible for EWSB.
  • MSSM in a similar situation than SM superpartner
    are constrained by Mtop
  • Precise measurements of the top quark
  • mass will help constrain these theories

10
Summary of Mtop Measurements
  • Direct Mtop meas. In Run I world ave.
  • Higgs mass fit
  • Run II Goals

11
The Tevatron
  • Proton-antiproton collisions at
  • Run II c.m. upgrade (1.8 TeV to 1.96 TeV)
  • ? 35 increase in

12
The CDF Detector
  • Calorimeters
  • Central, wall, plug calorimeter
  • Coverage
  • EM reso.
  • HAD reso.
  • CDF II general purpose
  • solenoidal detector
  • 7 layers of silicon tracking
  • Coverage
  • B-tagging eff. 30
  • COT drift chamber
  • coverage
  • Resolution
  • Muon chambers
  • Scintillator, proportional chamber interspersed
    with absorber
  • Provide muon ID up-to

13
Challenges of Mtop Measurement
  • Statistical limitations
  • Small statistics 25 b-tag leptonjets ev. / 100
    pb-1
  • Complicated final state to reconstruct
  • Observed final state
  • Complications
  • 12 possible jet-parton assignments
  • B-tagging helps a lot
  • Neutrino momentum diluted by missing ET
    measurement
  • Jet resolution is poor (130/ET-1/2)
  • Systematics limitations
  • Currently completely dominated by jet energy
    scale uncertainty
  • Current understanding set a lower limit of 3 GeV
    on the top mass uncertainty

14
The Kinematic Analysis
  • Advantage
  • Simple, robust
  • Less assumptions
  • Published Run I ?baseline for Run II
  • Disadvantage
  • Use of information not optimal

15
Selecting Leptonjets Events
  • Final state
  • Lepton selection
  • One isolated e or µ ET (pT)gt20GeV with ID
  • Electron EM cluster with expected shower shape,
    matched track
  • Muon track matched to muon stub, expected
    deposited E in calo.
  • Large missing ETgt20GeV
  • Measured in calorimeters
  • Infer pT(neutrino)
  • gt4 jets
  • Reconstructed with cone algorithm from
    calorimeter towers
  • ETgt15 GeV (8 GeV on 4th jet)

After these selections S/B 1
16
B-Tagging and Sample Division
  • B-tagging
  • Require B-tagging
  • S/B 3 (gt1-tag)
  • S/B 20 (2-tags)
  • Leptonjets sample division
  • Consider four subsamples
  • ? Better statistical power by fitting events
    with different sensitivity to Mtop

17
Top Quark Mass Reconstruction
  • Chi-square kinematic fit
  • Keep combination with lowest ?2
  • B-tag improves a lot Mtop resolution

More correct combinations with b-tags!
18
Mtop Templates
  • Histograms are fitted with analytic functions
    parameterized by the true top mass
  • Obtain probability density functions of
    reconstructed top mass as a function true Mtop

Reco. Mass and p.d.f.s vs true Mtop
19
Background contamination
Background templates
  • Background sources
  • gt1-tag events
  • Wjets mistag
  • QCD multijets
  • Wheavy flavor
  • Others (WW/WZ, single top)
  • 0-tag events
  • QCD multijets
  • Wjets

20
Extracting Mtop
  • Unbinned likelihood fit
  • Compare data reconstructed mass distributions
    with p.d.f.s extracted from Monte Carlo
  • Background constrained to expectations
  • Combined fit multiply subsamples likelihood
  • Likelihood fit sanity check

Unbiased fit!
21
Systematic Uncertainties
JES dominates!
  • Systematics sources
  • Jet energy scale Completely dominates (come back
    later)
  • ISR, FSR confuse jet from top decays with
    initial and final state radiation jets
  • Other syst. PDFs, generators, background
    modelling, jet resolution are small

22
Results on Data
  • Fit applied to data
  • Final result

23
Dominant Systematics Jet Energy Scale (JES)
  • Are jets observed in data well-modeled by MC?
  • Source of uncertainties
  • Fragmentation governed by non-perturbative QCD.
    Affect JES
  • Particles momentum distribution
  • Out-of-cone energy
  • Detector response
  • Non-linear for hadronic particles in CDF
  • Underlying event
  • deposits energy in jet cone

24
Possible solution calibration
  • JES, future limitation for Mtop
  • Uncertainties from JES already dominate
    statistical uncertainty
  • Knowledge of JES will improve, but has
    limitations
  • Understanding of QCD
  • LHC top measurements will be even more
    compromised by JES
  • Extrapolation to ttbar events
  • Standard JES calibration requires extrapolation
    to ttbar environment
  • Calibration samples Photonjet, dijet, min. bias
  • Differences with ttbar Jet flavor composition,
    Q2 scale, color flow, less busy

Fully in situ JES calibration using can provide
an elegant solution!
25
Principles Calibration
  • How does it work?
  • Identify jets coming from W
  • Reconstruct their invariant mass mjj
  • mjj strongly dependent on JES (GeV)
  • MW uncertainty is completely negligible (lt 50
    MeV)
  • mjj mostly independent of Mtop
  • How does it solve the two previous problems?
  • No additional uncertainty from extrapolating JES
    from photon-jet, dijet events to ttbar
  • JES uncertainty becomes statistical, will scale
    with luminosity!

mjj distribution can be used to constrain
jet energy scale!
26
Reconstructing
  • How to reconstruct Mjj?
  • Which jet come from W?
  • No ambiguity when 2 b-tags
  • Otherwise keep all possible mjj and consider
    them equally
  • This method works well because
  • Less combinatorics for mjj than Mtop
  • 25 better uncert. than kinematic fit
  • More correct comb. considered
  • More sensitivity to JES

27
Adding a Dimension to the Measurement
  • Show 2-D templates Mtop, JES
  • Extend the machinery
  • Determine simultaneously Mtop and JES
  • mt and mjj templates
  • Each template depend on Mtop and JES
  • For optimal constraint on JES combine a priori
    uncertainty and

28
Constraint by
  • mjj templates
  • Approximately independent of Mtop
  • Measuring mjj gives constraint on JES independent
    of true top mass
  • mjj provides an orthogonal determination of JES!

29
B-jets Energy Scale
  • Can we assume b-jets energy scale be set by
    W-gtjj?
  • Estimated differences between W-jets and b-jets
  • Harder fragmentation ?Mtop 0.2GeV/c2
  • Semileptonic decays ?Mtop0.4GeV/c2
  • Color flow ?Mtop0.3GeV/c2
  • Additional uncertainties arising from b-jets
    is 0.5 GeV/c2
  • Check through future in situ measurements of

LEP constraints on B-quark Fragmentations
30
JES measurement with
  • Mjj will be use for two purposes
  • Independent cross-check of JES
  • Calibration in Mtop measurement
  • If cross-check is satisfying, will combine
    information on JES
  • improve s(JES) by 30!

s(JES) with addition of
31
Mtop measurement using
  • Combine fit of mt and mjj improve s(Mtop) by 15!
  • Future of the technique
  • Both stat. and JES uncert. will scale with
    luminosity
  • Expect ?Mtop2-3GeV/c2
  • with
  • reach CDF goals

Total Mtop uncertainty with of combined fit
32
Conclusion
  • Top quark mass measurement is one of highest
    priority of Tevatron
  • Related to Higgs mass through radiative
    corrections
  • Important role for beyond SM physics
  • Top mass measurement is a complicated task
  • Few events available
  • Event topology is complicated
  • Large uncertainty from jet energy scale
  • We demonstrated
  • Kinematic analysis provide robust Mtop
    measurement
  • calibration can provide crucial
    improvement in understanding of jet energy scale
  • very important for the future of the
    measurement at the Tevatron and LHC

33
More Research Achievements
  • Many services to the CDF collaboration
  • Develop improved top-specific jet corrections
    (original work)
  • Develop underlying event and multiple interaction
  • Participated to CDF primary vertex finder
  • Develop conversion photonjet balancing technique
    (original work)
  • Responsible for the jet reconstruction software
  • Largely responsible for jet corrections software
    structure
  • Maintain and develop many pieces of code
    (including calorimetry)
  • Wrote calorimeter software documentation
  • Plus
  • Beauty, charm physics experience from BaBar

34
Potential for Physics Outreach
  • Significant TA experience
  • Significant undergraduate student supervision (in
    HEP context)
  • Educational experience outside
  • Graduate formation effective communication for
    physicists
  • Strong communication skills
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