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Bertrand Martin

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Average reco ID efficiency of a Zee electron. Can be used for ttbar now ... no real MET (no ?) but fake MET can appear due to resolution effects ... – PowerPoint PPT presentation

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Title: Bertrand Martin


1
p17 tt? ee cross section p20 W helicity
prospects
Bertrand Martin for the LPSC group Dø France
Strasbourg 11/26/07
2
Outline
  • Status of the p17 ee selection
  • success
  • failures
  • Around MET
  • jet resolution
  • Prospects for p20 W helicity
  • improvements in the dilepton channel

3
The dielectron signature
  • The main physics backgrounds
  • Drell-Yan Z/? jets ? ee / tt jets
  • Diboson processes (WW , WZ , ZZ)
  • Instrumental backgrounds (fake leptons and fake
    MET)

2e top_tight pT gt 15 GeV
pT(1) gt 30 GeV pT(2) gt 20 GeV
2 high pT jets
  • Further cuts
  • 15 lt Meelt 80 GeV ? MET gt 40 GeV
  • or
  • Mee gt 100 GeV ? MET gt 35 GeV
  • Sphericity gt 0.15

4
Status of stt
Preliminary results approved for Moriond E.W.
2007
  • 16 observed events , 9.5 expected ttbar ( for s
    7 pb ) , 3.0 background
  • No optimization w.r.t. p14 analysis
  • Still statistics dominated. However, large
    systematics were also quoted
  • EMID 5.5 per object
  • (?det , Fdet) ? accounted for (scale factors)
  • ?R(e,closest jet) , inst. lumi ? not corrected
    systematics

5
EMID systematics
Assuming an efficiency depending on 3
variables e (?,F,?R)
(?,F) and ?R are independent variables
Efficiencies from the (?,F) spc files are
averaged over the ?R variation
Cant make a 3D .spc file
spc files may not be directly applied for ttbar
as the hidden variable is integrated over the
Zee spectrum
6
EMID contd
Finally, after some more equations, one gets
Average reco ID efficiency of a Zee electron
Can be used for ttbar now
  • Applying additional corrections on ttbar (?R ,
    lumi)
  • does not change much the shape of the
    distributions,
  • but rather the normalization 2.3 between
    full / (?,F)

7
Post-Moriond life
Along with the final JES / SSR , came a new
version of ReComputeMET , with a right way to
propagate jet smearing to MET. See the effect
for ee 2 jets
Post-Moriond propagation
Before Moriond no propagation
Numerous attempts to explain the MET oversmearing
in vain Some people suspect that jet
smearing might be too large.
8
Jet Resolution Or How to absorb Mikkos work in
1 week ?
I dont know
Mikkos code developed for JCCA with special JES
corrections Switch to JCCB and usual JES, to
compare jet resolutions in data and MC
SSR Compute asymmetries in a dijet sample
extract jet resolution
y lt 0.4
Of course, not so simple
9
Jet resolution , bias corrections
Equivalent gaussian core resolution
Reco cut 6 GeV
pT imbalance expected at particle level ( missing
? , µ )
10
Raw Jet Resolution in CC
Data from sgaussian
Data from RMS
11
Raw Jet Resolution in CC
MC no SSR from sgaussian
MC no SSR from RMS
12
Jet Resolution - status
  • This study is at its very beginning
  • Cant conclude anything yet
  • low pT region driven by ksoft corrections
  • needs further checks
  • CC needs punch-through tails correction at
    high pT
  • ICR needs the double gaussian structure
  • EC needs kbias corrections
  • Dijet sample ? access to high pT jets resolution
  • ( fits constrained above 20 30 GeV )
  • While dielectron jets rather low pT

13
Now, the future
( Once we are done with p17 MET)
p20 prospects get involved in the W Helicity
measurement
14
Extracting f with log(L)
ljets
Dilepton
ljets and dilepton results are marginally
consistent (2.4s stat) ? Assumed it originates
from a statistical fluctuation proceed to
combination What about adding another 1 fb-1 in
each channel
15
p17 W helicity
ttbar multivariate selection likelihood
discriminant Reconstruction of the 2 W
leptonic decays ( to find cos? ) 2 neutrinos
unknown momenta kinematically
underconstrained Algebraic resolution
needs mass assumptions ( MW , Mtop )
lepton / b jet pairing ambiguity
More powerful approaches Decorrelated
likelihood , N.N. , Boosted decision trees
Also room for improvement (see next slides)
16
Kinematics
6 final state particles (2b , 2l, 2v) 3
independent variables ( px , py , pz ) 12
directly measured quantities ( 2b and 2l ) 2 MW
2 Mtop assumptions Last constraints in p17
18 unknowns
? 2 unknowns left
Quadratic equations give several solutions for
neutrino momenta
p17 way of picking up the right solution
17
Alternative approach
Try an approach a-la neutrino weighting ( top
mass analysis )
Abandon the METx,y constraints
  • Make an assumption on the neutrinos rapidities
    gaussian
  • ? Enough constraints now
  • Compute the neutrinos momenta
  • Then one can compare the expected METx,y with
    the observed MET (weight w)

Should give better results than the current
average ?
18
Summary
Preliminary p17 cross section measurement (1.04
fb-1)
OLD
  • Main analysis improvement EMID systematics
  • BUT
  • Cross section analysis stuck due to the MET
    oversmearing
  • ? Waiting for the jet resolution results
  • Optimization is the next step
  • Publication
  • W helicity
  • the end

19
Backup slides
20
Fake electron background
  • Fake electron jet faking electron, or a
    non-isolated electron (b decay).
    Includes QCD, Wjets ? ljets, ttbar? ljets
  • Signal/fake separation electron likelihood (1
    for signal, 0 for background)
  • 2 steps
  • Determination of likelihood shapes for
    signal-like background-like samples
  • Likelihood fit to extract the background
    contamination in the analysis sample.

Estimated from data
Signal sample Z?ee (incl)
Bkg sample (incl)
  • Signal sample Z?ee , METlt15
  • Background sample same topology as the
    analysis sample, but require
  • 1 anti-isolated electron , MET lt 15

Likelihood fit determine ne and ns
21
Fake MET background
  • Main background Z/? jets ? ee jets
  • no real MET (no ?) but fake MET can appear
    due to resolution effects
  • MET may not be accurately modeled in the MC
  • Fake rate measurement
  • sample kinematically close to Zjets , with no
    real MET ? jets sample

Estimated from data
Major impact of jets on MET
  • Event yield calculation from analysis sample
    in the low MET regime (reversed MET cut)

Yield in the low MET regime
22
tt cross section
The cross section is extracted with a likelihood
minimization
where
The statistical error on s arises from the
likelihood minimization procedure
Compared to p14 results (425 pb-1)
Preliminary p17 result (1.04 fb-1)
23
Z pT 0 jet
Parameterization with generated Z pT
Z pT 1 jet
24
Z pT 2 jets
jets
25
Jet 1 pT
Jet 2 pT
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