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Title: Search for New Phenomena in the CDF Top Quark Sample


1
Search for New Phenomena in the CDF Top Quark
Sample
  • Kevin Lannon
  • The Ohio State University
  • For the CDF Collaboration

2
Why Look in Top Sample?
  • Top only recently discovered
  • Top turned 10 in 2005
  • Samples still relatively small
  • Still plenty of room for unexpected phenomena
  • Top is really massive
  • Comparable to gold nucleus!
  • Yukawa coupling near unity
  • Special role in EWSB?
  • Many models include new physics coupling to top

5 orders of magnitude between quark masses!
3
What Might We Find?
  • Its not Standard Model top at all!
  • Charge not 2/3? Phys.Rev.D59091503,1999
    Phys.Rev.D61037301,2000
  • Spin not 1/2?
  • Its not only Standard Model top
  • Additional heavy particles decaying to high pt
    leptons, jets and missing energy (t )
    Phys.Rev.D64053004,2001 Phys.Rev.D65053002,200
    2
  • Heavy resonance decaying to tt Phys.Lett.B266419
    ,1991
  • t?Hb
  • ttH production Phys.Rev.D68034022,2003
  • Nothing but the Standard Model . . . .
  • Not as bad as it sounds
  • Test our abilities to calculate signal and
    background properties
  • Important at the LHC ? top becomes background to
    other searches
  • Constrains models that put new physics in the top
    sample

hep-ph/0504221
4
The Tevatron and CDF
  • Tevatron accelerator
  • Highest energy accelerator in the world (Ecm
    1.96 TeV)
  • World record for hadron collider luminosity
    (Linst 2.72E32 cm-2s-1)
  • Only accelerator currently making top quarks

Muon Detectors
Central Cal
Plug Cal
  • CDF Detector
  • Trigger on high pT leptons, jets and missing ET
  • Silicon tracking chamber to reconstruct displaced
    vertices from b decays

CentralTracker
Silicon Tracker
5
Tevatron Performance
Integrated Luminosity
Peak Luminosity
Todays Presentation 200 pb-1 1 fb-1
Analyzed by Summer
  • Integrated luminosity at CDF
  • Total delivered 2.3 fb-1
  • Total recorded 1.9 fb-1 ( 17? Run I!)
  • So far for top analyses, used up to 1 fb-1
  • More analyses with 1.0-1.2 fb-1 in progress for
    winter and spring
  • Doubling time 1 year
  • Future 4 fb-1 by 2007, 8 fb-1 by 2009

6
Triggering on Top
  • Need high efficiency, low fake rate trigger for
    high pT leptons
  • Relies on track trigger (XFT)
  • Fake rate increases with occupancy
  • Occupancy increases with luminosity
  • 3x higher than original design because Tevatron
    didnt reduce bunch spacing (392 ns ? 132 ns)

Z ? ee at low lum.9 add. Int./crossing
Fake tracks can be made from segments of
different real physical tracks.
Instrumenting additional layers reduces fake
rate. Efficiency stays high.
fake
Reduction factor 4
Missing segments
  • Upgrade put into operation in October
  • Efficiency 96 for high pT tracks
  • Fake track rejection factor 5-7

Trigger ? for muons without upgrade
7
Top Quark Production at Tevatron
(and LHC)
  • QCD pair production
  • ?NLO 6.7 pb
  • First observed at Tevatron in 1995

85
15
833 pb
87
13
s-channel
t-channel
  • EWK single-top production
  • s-channel ?NLO 0.9 pb
  • t-channel ?NLO 2.0 pb
  • Not observed yet

10.6 pb
247 pb
Associated tW
???
  • Other?

62 pb
8
Top Production Rates
Needle in haystack (approx.)
  • Efficient Trigger
  • 90 for high pT leptons
  • Targeted event selection
  • Distinctive final state
  • Heavy top mass
  • Advanced analysis techniques
  • Artificial Neural Networks
  • Like finding a needle in a haystack . . . .

One top pair each 1010 inelastic collisions at ?s
1.96 TeV
9
SM Top Quark Decays
BR(t?Wb) 100
  • Particular analysis usually focuses on one or two
    channels
  • New physics can impact different channels in
    different ways
  • Comparisons between channels important in search
    for new physics

10
Top Signatures
Dilepton
Lepton Jets
All Hadronic
11
Top Event Yields
  • To give an idea of CDF sample sizes . . . .
  • Based on top cross section of 6.7 pb
  • Background and signal numbers based on event
    yields from current analyses, scaled by
    luminosity
  • Assume no changes in event selection, efficiency,
    etc.

Luminosity 1 fb-1 1 fb-1 1 fb-1 4 fb-1 4 fb-1 4 fb-1
Total Top Events 6700 6700 6700 26,800 26,800 26,800
Decay Mode Dil. L J L J (b-tag) Dil. L J L J (b-tag)
Before Event Selection 330 1985 1985 1325 7940 7940
Selected Signal Events 50 480 290 190 1910 1140
Expected Background 40 2290 160 150 9150 670
  • LJ 2k signal events with 4 fb-1
    (signalbackground 1 5)
  • LJ (b-tag) 1k signal events with 4 fb-1
    (signalbackground 21)

12
Searching for New Physics
  • Precision study of top properties
  • Non-SM behavior from top quark
  • Evidence of something other than top in sample
  • Direct search for new phenomena in top sample
  • Resonant production
  • Non-SM decays
  • New particles with top-like signature
  • New particles produced in association with top

Vtb
13
Top Properties Working Group
Vtb
  • Studying all properties of top quark (except
    mass)
  • 150 faculty, postdocs, students
  • 15 papers (so far)
  • 50 active analyses

14
Precision Study Cross Section
  • Cross section
  • Measured in different final states
  • New physics can affect different final states
    differently
  • Different techniques used in same final state
  • Results combined at end for most precise answer
  • tt production calculated to NLO
  • Central value 6.7 pb 6.8 pb
  • Uncertainties 5.8pb 7.4 pb
  • For mtop 175 GeV/c2
  • Combined result
  • 7.3 ? 0.9 pb

NTop Nobs- Nbackground, or from fit
15
Two Best Measurements
  • Both in Lepton Jets Channel
  • Vertex Tag (weight 0.50, pull 0.88)
  • Uses b-tagging to increase ratio of signal to
    background
  • Counting experiment
  • Count Wjets events with a b-tag
  • Subtract expected background
  • Excess attributed to top
  • Kinematic Artificial Neural Net (weight 0.32,
    pull -1.14)
  • Uses kinematic variables to separate signal from
    background
  • Combines several variables in a neural network to
    increase sensitivity
  • Fit for the number of top events
  • Does not use b-tagging (lower signal to
    background ratio)

16
B-Tagging
  • b-tagging Identifying jets containing a b quark
  • Take advantage of long b lifetime
  • Look at precision tracking information for tracks
    within jet
  • Reconstruct secondary vertices displaced from
    primary
  • Efficiency
  • Per jet
  • 40 for b jet
  • 9 for c jet
  • 0.5 for light jet
  • Per event (tt )
  • 60 for single tag
  • 15 for double tag

17
Sample Composition
Number of events with an identified W ? 1 jets
695 pb-1
18
Lepton Jets Vertex Tag Result
  • One Tag HT Cut
  • 8.2 0.6 (stat.) 1.0 (sys.) pb
  • Two tags, no HT Cut
  • Cross check
  • 8.8 1.2 -1.1 (stat.) 2.0 -1.3 (sys.) pb

HT scalar sum of lepton, jet, and missing ET
19
Using Kinematics to Identify Top
  • Look for central, spherical events with large
    transverse energy
  • Signal PYTHIA tt monte carlo
  • Background ALPGEN HERWIG W 3p monte carlo
  • Normalized to unit area
  • HT ? scalar sum of lepton, jet, and missing ET
  • Aplanarity uses lepton, jet and missing ET
  • Max jet ? uses 3 highest ET jets all others use
    5 highest

20
Statistical Sensitivity
  • Evaluate expected fit fractional error using
    MC-based pseudo experiments
  • Single variable fits fit signal fraction using
    distributions of a single kinematic variable
  • Plotted
  • Points median fit fractional error
  • Error bars 68 interval

21
Multivariate Approach Neural Nets
  • Structure
  • Composed of nodes modeled after neurons in
    nervous system
  • Organized into layers
  • Input layer initialized by input variables
  • Hidden layer takes information from each input
    node and passes to output layer
  • Output node new discriminating variable with
    range 0,1
  • Training
  • Neural net output determined by exposure to
    training data
  • Iteratively adjust parameters to minimize error
  • Training accomplished through JETNET
    program(Peterson et al. CERN-TH/7135-94)

7 kinematic variables ? 7 input nodes
Output noderange 0,1signal 1
1 hidden layer, 7 hidden nodes
Information flow
22
Statistical Sensitivity
  • Evaluate expected fit fractional error using
    MC-based pseudo experiments
  • Single variable fits fit signal fraction using
    distributions of a single kinematic variable
  • NN fit NN output of data to NN templates
  • Plotted
  • Points median fit fractional error
  • Error bars 68 interval
  • NN Fit performs significantly better than single
    variable fits

23
Using NN to Fit Data
  • Basic Approach
  • Train NN to distinguish tt signal from
    backgrounds
  • PYTHIA tt MC as signal model
  • ALPGEN HERWIG W 3p MC as background model
  • Use this NN to make templates for fitting the
    data
  • Use same signal model as above
  • Also extract QCD multijet template from data
  • Supplement electroweak template with
    contributions from other processes WW,WZ, Z
    jets, single top
  • Fit templates to NN distribution from data
  • Binned maximum likelihood fit
  • Three component fit
  • Signal and electroweak float
  • QCD constrained to value estimated using
    isolation vs missing ET method

24
Lepton Jets Kinematic ANN Result
Sample Events Fitted tt ?(tt )
W ? 3 Jets 2102 324.6 ? 31.6 6.0 ? 0.6 ? 0.9 pb
W ? 4-Jet 461 166.0 ? 22.1 5.8 ? 0.8 ? 1.3 pb
25
Kinematics of b-Tagged Events
  • Looks like top!

26
Systematic Uncertainties
  • Main Systematic Uncertainties uncorrelated
  • Lepton Jets Vertex Tag
  • b-tagging efficiency 6.5
  • Background estimation 3.4
  • Kinematic ANN
  • Background shape modeling 10.2
  • Jet Energy Scale 8.3
  • For both results, uncertainty dominated by
    systematics
  • Both are working to reduce for 1.2 fb-1
    publications

27
Search for t ?Hb
Phys.Rev.Lett. 96 (2006) 042003
  • Compare top yield in four different channels
  • Measurements consistent with SM
  • Consider correlated effect of t?Hb decays on
    four channels
  • Exclude when changes make expectation
    inconsistent with data
  • Limits for 6 sets of MSSM parameters and less
    model-specific scenarios

Varying model parameters changes BR(t?Hb) BR(H
???) BR(H?cs) BR(H?tb) BR(H?Wh0) BR(H?WA0)
Shown here Variations as a function of tan?
particular set of MSSM parameters
28
MSSM Limits
  • Calculate BR(t?Hb) and H BRs as a function of
    MH and tan(?)
  • Use 6 different MSSM benchmarks
  • Results for Benchmark 1 shown below

29
Less Model Dependent Limit
  • Tauonic Higgs Model
  • Assume BR(H???) 1
  • i.e. MSSM with high tan(?)
  • Worst Limit
  • Find arbitrary combination of H BRs that give
    least stringent limit

30
t Production
  • Consider possible contribution to top sample
    from heavier particles with top-like signature
    (t)
  • Examples
  • 4th chiral generation consistent with precision
    EWK data Phys. Rev. D64, 053004 (2001)
  • Beautiful Mirrors Model additional generation
    of quarks that mix with 3rd generation Phys.
    Rev. D65, 053002 (2002)
  • Consider decay of t?Wq
  • Happens when mt lt mb mW
  • Precision EWK data suggests mass splitting
    between b and t small
  • Search for by fitting HT vs Mreco
  • HT sum of transverse momenta of all objects in
    event
  • Mreco Wq invariant mass reconstructed with a ?2
    fitter (same technique used in top mass
    reconstruction)

31
t Search Results
  • No evidence for t observed
  • Set 95 confidence level limits on ?t?BR(t?Wq)2
  • Exclude mt lt 258 GeV for BR(t?Wq) 100
  • Interesting behavior in high mass tails

32
Summary
There are many more CDF results than I could show
here.
  • Even More results on the public webpage
  • http//www-cdf.fnal.gov/physics/new/top/top.html
  • No deviations from Standard Model so far
  • Many results statistically limited
  • More results with 1-1.2 fb-1 coming soon
  • Results for 2fb-1 by this summer
  • Many new and updated analyses in progress
  • Improved cross section measurements
  • Single-top
  • Top charge
  • Flavor changing neutral currents
  • Direct search for t?Hb
  • http//www-cdf.fnal.gov/physics/new/top/top.html

33
The Future Top at LHC
  • Top physics will be easy at the LHC
  • Top cross section increases by factor of 100
  • Background cross sections increase by factor of
    10
  • Probe for new Physics
  • Mtt distribution
  • Associated Higgs production ttH
  • Even used for LHC detector calibrations
  • High precision results from Tevatron important
  • Discover new physics
  • 1-2 GeV/c2 precision on mass
  • Production and decay well understood

precision physics
34

Extra Slides
35
Top Cross Section vs Mass
36
Search for Resonant Production
  • Motivation
  • Some models predict particles decaying to top
    pairs
  • Should be visible as resonance in tt invariant
    mass spectrum
  • Example model Topcolor assisted technicolor
  • Extension to technicolor that includes new strong
    dynamics
  • Couples primarily to 3rd generation
  • Includes new massive gauge bosons topgluons and
    Z

37
Search for Resonant Production
  • Look for generic, spin 1 resonance (X0) decaying
    to top pairs
  • Assume ?X0 1.2?MX0
  • Test masses between 450 GeV and 900 GeV in 50 GeV
    increments
  • Results
  • No evidence for resonance
  • Set 95 confidence level limit for ?X0 at each
    mass
  • Exclude leptophobic Z with Mz lt 725 GeV

38
W Helicity in Top Decay
  • Helicity of W determined by V-A structure of EWK
    interaction
  • 70 longitudinal
  • 30 left-handed
  • Right handed forbidden

V-A Forbidden
W- Left-Handed fraction F-
W0 Longitudinal fraction F0
39
W Helicity in Top Decay
  • Can be tested by measuring W helicity angle ?
  • ? angle of the lepton relative to negative the
    direction of the top in the W rest frame.
  • Can also use Mlb2 ? 0.5(mt2-mW2)cos ?

40
W Helicity Results
  • Two CDF results with 955 pb-1
  • Use different kinematic fitters to reconstruct tt
    system cos?
  • Very consistent measurements of F0 and limits on
    F
  • F0 0.61 ?0.12(stat) ? 0.04 (syst) and F lt 0.11
    at 95 C.L.
  • F0 0.59 ? 0.12(stat) 0.07-0.06(syst) and F lt
    0.10 at 95 C.L.
  • One measurement with 750 pb-1
  • Uses Mlb and measures fraction of VA
  • FVA lt 0.29 at 95 C.L.
  • Assuming F0 0.7? F lt 0.09 at 95 C.L.

41
Top Quark Lifetime
  • Measure impact parameter of lepton from Lepton
    Jets top decay
  • Evidence of displaced top suggests
  • Production via decay of long-lived particle
  • New long-lived particle in top sample
  • Anomalous top lifetime

Templates for SM processes
Result c? lt 52.5 ?m at 95 confidence level
42
Sample Composition
Number of events with an identified W ? 1 jets
Event count before applying b-tagging
Wlight flavor From pretag using mistag matrix
Wheavy flavor From pretag using MC for HF
fraction and b-tagging eff.
Difference between observed and predicted
background attributed to top
Single Top and Diboson Estimated using
theoretical cross section
Non-W QCD Estimated from MET and lepton
isolation side-bands
43
The Search for Single Top
  • Standard Model
  • Rate ? Vtb2
  • Spin polarization probes V-A structure
  • Background for other searches (Higgs)
  • Beyond the Standard Model
  • Sensitive to a 4th generation
  • Flavor changing neutral currents
  • Additional heavy charged bosons
  • W or H
  • New physics can affect s-channel and t-channel
    differently

Tait, Yuan PRD63, 014018(2001)
44
Signal and Backgrounds
Backgrounds
Other EWK
Single-top Signature
tt
e or ? pT gt 20 GeV
? METgt 20 GeV
Multi-jet QCD
W Heavy Flavor
W Light Flavor (Mistags)
2 jets ET gt 15 GeV, ? 1 b-tag
Must use multivariate, kinematic techniques to
separate signal from background
  • Total Background 646?96 events
  • Expected Single-Top 28 ? 3 events
  • Signal / Background 1/20

45
Multivariate Discriminants
ZOOM
  • Improve signal discrimination by combining
    several variables into a multivariate
    discriminant
  • Neural Network and multivariate likelihood
    function both used
  • Variables l?b and dijet invariant masses, HT,
    Q??, angles, jet ET and ?, W-boson ?, kinematic
    fitter quantities, NN b-tag output

46
Single Top Multivariate Likelihood Result
  • Best fit result for s- and t-channel separately
  • s-channel
  • t-channel
  • 95 CL upper limit on combined s- t-channel

47
Single Top Neural Network Result
  • Separate search
  • s- and t-channel vary separately
  • Best Fit
  • t-channel
  • s-channel
  • 95 CL Limit
  • t-channel
  • s-channel
  • Combined search
  • s-channel t-channel combined in SM ratio
  • Best fit
  • 95 CL Limit

48
Single Top Matrix Element Result
49
Summary
  • This is an exciting time to be at the Tevatron
  • 1.2 fb-1 sample currently in hand and being
    analyzed
  • Top sample has grown from 30 events in Run I to
    several hundred
  • Larger samples coming soon (almost 2 fb-1) by
    summer
  • Analysis techniques becoming increasingly mature
    and sophisticated
  • Look forward to ? 1 fb-1 publications this winter
  • No evidence for new physics in top sample so far
  • Have many more top measurements than covered in
    this talk (see CDF public results webpage)
  • Increasing precision continues to test
    consistency of measurements in different channels
  • Many new analyses on their way (as well as
    updates of current results)
  • Improved cross section measurements
  • Single-top
  • Top charge
  • Flavor changing neutral currents
  • Direct search for t?Hb
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